Skip to content

Instantly share code, notes, and snippets.

@shas043

shas043/DP0701EN-2-2-1-Foursquare-API-py-v1.0.ipynb

Last active November 18, 2021 03:11
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save shas043/6cb300bf4e0f5fea14e645a0c1485899 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save shas043/6cb300bf4e0f5fea14e645a0c1485899 to your computer and use it in GitHub Desktop.
Download ZIP
Created on Cognitive Class Labs
Display the source blob
Display the rendered blob
Raw
DP0701EN-2-2-1-Foursquare-API-py-v1.0.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n",
"\n",
"<h1 align=center><font size = 5>Learning FourSquare API with Python</font></h1>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## Introduction\n",
"\n",
"In this lab, you will learn in details how to make calls to the Foursquare API for different purposes. You will learn how to construct a URL to send a request to the API to search for a specific type of venues, to explore a particular venue, to explore a Foursquare user, to explore a geographical location, and to get trending venues around a location. Also, you will learn how to use the visualization library, Folium, to visualize the results."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## Table of Contents\n",
"\n",
"1. <a href=\"#item1\">Foursquare API Search Function</a>\n",
"2. <a href=\"#item2\">Explore a Given Venue</a> \n",
"3. <a href=\"#item3\">Explore a User</a> \n",
"4. <a href=\"#item4\">Foursquare API Explore Function</a> \n",
"5. <a href=\"#item5\">Get Trending Venues</a> "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Import necessary Libraries"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata: done\n",
"Solving environment: - \n",
"The environment is inconsistent, please check the package plan carefully\n",
"The following packages are causing the inconsistency:\n",
"\n",
" - defaults/linux-64::anaconda==5.3.1=py37_0\n",
" - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n",
" - defaults/linux-64::bkcharts==0.2=py37_0\n",
" - defaults/linux-64::blaze==0.11.3=py37_0\n",
" - defaults/linux-64::bokeh==0.13.0=py37_0\n",
" - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n",
" - defaults/linux-64::dask==0.19.1=py37_0\n",
" - defaults/linux-64::datashape==0.5.4=py37_1\n",
" - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n",
" - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n",
" - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n",
" - defaults/linux-64::odo==0.5.1=py37_0\n",
" - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n",
" - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n",
" - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n",
" - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n",
" - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n",
" - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\n",
"done\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: /home/jupyterlab/conda\n",
"\n",
" added / updated specs:\n",
" - geopy\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" ca-certificates-2019.6.16 | hecc5488_0 145 KB conda-forge\n",
" certifi-2019.6.16 | py36_0 148 KB conda-forge\n",
" geographiclib-1.49 | py_0 32 KB conda-forge\n",
" geopy-1.20.0 | py_0 57 KB conda-forge\n",
" ------------------------------------------------------------\n",
" Total: 383 KB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" geographiclib conda-forge/noarch::geographiclib-1.49-py_0\n",
"\n",
"The following packages will be UPDATED:\n",
"\n",
" ca-certificates 2019.3.9-hecc5488_0 --> 2019.6.16-hecc5488_0\n",
" certifi 2019.3.9-py36_0 --> 2019.6.16-py36_0\n",
" geopy conda-forge/linux-64::geopy-1.11.0-py~ --> conda-forge/noarch::geopy-1.20.0-py_0\n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"geographiclib-1.49 | 32 KB | ##################################### | 100% \n",
"geopy-1.20.0 | 57 KB | ##################################### | 100% \n",
"certifi-2019.6.16 | 148 KB | ##################################### | 100% \n",
"ca-certificates-2019 | 145 KB | ##################################### | 100% \n",
"Preparing transaction: done\n",
"Verifying transaction: done\n",
"Executing transaction: done\n",
"Collecting package metadata: done\n",
"Solving environment: / \n",
"The environment is inconsistent, please check the package plan carefully\n",
"The following packages are causing the inconsistency:\n",
"\n",
" - defaults/linux-64::anaconda==5.3.1=py37_0\n",
" - defaults/linux-64::astropy==3.0.4=py37h14c3975_0\n",
" - defaults/linux-64::bkcharts==0.2=py37_0\n",
" - defaults/linux-64::blaze==0.11.3=py37_0\n",
" - defaults/linux-64::bokeh==0.13.0=py37_0\n",
" - defaults/linux-64::bottleneck==1.2.1=py37h035aef0_1\n",
" - defaults/linux-64::dask==0.19.1=py37_0\n",
" - defaults/linux-64::datashape==0.5.4=py37_1\n",
" - defaults/linux-64::mkl-service==1.1.2=py37h90e4bf4_5\n",
" - defaults/linux-64::numba==0.39.0=py37h04863e7_0\n",
" - defaults/linux-64::numexpr==2.6.8=py37hd89afb7_0\n",
" - defaults/linux-64::odo==0.5.1=py37_0\n",
" - defaults/linux-64::pytables==3.4.4=py37ha205bf6_0\n",
" - defaults/linux-64::pytest-arraydiff==0.2=py37h39e3cac_0\n",
" - defaults/linux-64::pytest-astropy==0.4.0=py37_0\n",
" - defaults/linux-64::pytest-doctestplus==0.1.3=py37_0\n",
" - defaults/linux-64::pywavelets==1.0.0=py37hdd07704_0\n",
" - defaults/linux-64::scikit-image==0.14.0=py37hf484d3e_1\n",
"done\n",
"\n",
"# All requested packages already installed.\n",
"\n",
"Folium installed\n",
"Libraries imported.\n"
]
}
],
"source": [
"import requests # library to handle requests\n",
"import pandas as pd # library for data analsysis\n",
"import numpy as np # library to handle data in a vectorized manner\n",
"import random # library for random number generation\n",
"\n",
"!conda install -c conda-forge geopy --yes \n",
"from geopy.geocoders import Nominatim # module to convert an address into latitude and longitude values\n",
"\n",
"# libraries for displaying images\n",
"from IPython.display import Image \n",
"from IPython.core.display import HTML \n",
" \n",
"# tranforming json file into a pandas dataframe library\n",
"from pandas.io.json import json_normalize\n",
"\n",
"!conda install -c conda-forge folium=0.5.0 --yes\n",
"import folium # plotting library\n",
"\n",
"print('Folium installed')\n",
"print('Libraries imported.')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Define Foursquare Credentials and Version"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"##### Make sure that you have created a Foursquare developer account and have your credentials handy"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Your credentails:\n",
"CLIENT_ID: QRSESDGRD2J0UGUIBAOB0J0ZTN2FCAQT12CWCIC10RXCB1QS\n",
"CLIENT_SECRET:WWB1FS3SR33MN3XW2VBZQ2GWPWELFP423ECYIZPRAKYDPRXS\n"
]
}
],
"source": [
"CLIENT_ID = 'QRSESDGRD2J0UGUIBAOB0J0ZTN2FCAQT12CWCIC10RXCB1QS' # your Foursquare ID\n",
"CLIENT_SECRET = 'WWB1FS3SR33MN3XW2VBZQ2GWPWELFP423ECYIZPRAKYDPRXS' # your Foursquare Secret\n",
"VERSION = '20180604'\n",
"LIMIT = 30\n",
"print('Your credentails:')\n",
"print('CLIENT_ID: ' + CLIENT_ID)\n",
"print('CLIENT_SECRET:' + CLIENT_SECRET)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's again assume that you are staying at the Conrad hotel. So let's start by converting the Contrad Hotel's address to its latitude and longitude coordinates."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to define an instance of the geocoder, we need to define a user_agent. We will name our agent <em>foursquare_agent</em>, as shown below."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"40.7149555 -74.0153365\n"
]
}
],
"source": [
"address = '102 North End Ave, New York, NY'\n",
"\n",
"geolocator = Nominatim(user_agent=\"foursquare_agent\")\n",
"location = geolocator.geocode(address)\n",
"latitude = location.latitude\n",
"longitude = location.longitude\n",
"print(latitude, longitude)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a id=\"item1\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## 1. Search for a specific venue category\n",
"> `https://api.foursquare.com/v2/venues/`**search**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&ll=`**LATITUDE**`,`**LONGITUDE**`&v=`**VERSION**`&query=`**QUERY**`&radius=`**RADIUS**`&limit=`**LIMIT**"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Now, let's assume that it is lunch time, and you are craving Italian food. So, let's define a query to search for Italian food that is within 500 metres from the Conrad Hotel. "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Italian .... OK!\n"
]
}
],
"source": [
"search_query = 'Italian'\n",
"radius = 500\n",
"print(search_query + ' .... OK!')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Define the corresponding URL"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"'https://api.foursquare.com/v2/venues/search?client_id=QRSESDGRD2J0UGUIBAOB0J0ZTN2FCAQT12CWCIC10RXCB1QS&client_secret=WWB1FS3SR33MN3XW2VBZQ2GWPWELFP423ECYIZPRAKYDPRXS&ll=40.7149555,-74.0153365&v=20180604&query=Italian&radius=500&limit=30'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, search_query, radius, LIMIT)\n",
"url"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Send the GET Request and examine the results"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"{'meta': {'code': 200, 'requestId': '5d0e47e15315930039b2410e'},\n",
" 'response': {'venues': [{'id': '4fa862b3e4b0ebff2f749f06',\n",
" 'name': \"Harry's Italian Pizza Bar\",\n",
" 'location': {'address': '225 Murray St',\n",
" 'lat': 40.71521779064671,\n",
" 'lng': -74.01473940209351,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 40.71521779064671,\n",
" 'lng': -74.01473940209351}],\n",
" 'distance': 58,\n",
" 'postalCode': '10282',\n",
" 'cc': 'US',\n",
" 'city': 'New York',\n",
" 'state': 'NY',\n",
" 'country': 'United States',\n",
" 'formattedAddress': ['225 Murray St',\n",
" 'New York, NY 10282',\n",
" 'United States']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1ca941735',\n",
" 'name': 'Pizza Place',\n",
" 'pluralName': 'Pizza Places',\n",
" 'shortName': 'Pizza',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'delivery': {'id': '294544',\n",
" 'url': 'https://www.seamless.com/menu/harrys-italian-pizza-bar-225-murray-st-new-york/294544?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=294544',\n",
" 'provider': {'name': 'seamless',\n",
" 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',\n",
" 'sizes': [40, 50],\n",
" 'name': '/delivery_provider_seamless_20180129.png'}}},\n",
" 'referralId': 'v-1561216993',\n",
" 'hasPerk': False},\n",
" {'id': '4f3232e219836c91c7bfde94',\n",
" 'name': 'Conca Cucina Italian Restaurant',\n",
" 'location': {'address': '63 W Broadway',\n",
" 'lat': 40.71446,\n",
" 'lng': -74.010086,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 40.71446,\n",
" 'lng': -74.010086}],\n",
" 'distance': 446,\n",
" 'postalCode': '10007',\n",
" 'cc': 'US',\n",
" 'city': 'New York',\n",
" 'state': 'NY',\n",
" 'country': 'United States',\n",
" 'formattedAddress': ['63 W Broadway',\n",
" 'New York, NY 10007',\n",
" 'United States']},\n",
" 'categories': [{'id': '4d4b7105d754a06374d81259',\n",
" 'name': 'Food',\n",
" 'pluralName': 'Food',\n",
" 'shortName': 'Food',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/default_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1561216993',\n",
" 'hasPerk': False},\n",
" {'id': '3fd66200f964a520f4e41ee3',\n",
" 'name': 'Ecco',\n",
" 'location': {'address': '124 Chambers St',\n",
" 'crossStreet': 'btwn Church St & W Broadway',\n",
" 'lat': 40.71533713859952,\n",
" 'lng': -74.00884766217825,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 40.71533713859952,\n",
" 'lng': -74.00884766217825}],\n",
" 'distance': 549,\n",
" 'postalCode': '10007',\n",
" 'cc': 'US',\n",
" 'city': 'New York',\n",
" 'state': 'NY',\n",
" 'country': 'United States',\n",
" 'formattedAddress': ['124 Chambers St (btwn Church St & W Broadway)',\n",
" 'New York, NY 10007',\n",
" 'United States']},\n",
" 'categories': [{'id': '4bf58dd8d48988d110941735',\n",
" 'name': 'Italian Restaurant',\n",
" 'pluralName': 'Italian Restaurants',\n",
" 'shortName': 'Italian',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/italian_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1561216993',\n",
" 'hasPerk': False}]}}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results = requests.get(url).json()\n",
"results"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Get relevant part of JSON and transform it into a *pandas* dataframe"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>categories</th>\n",
" <th>delivery.id</th>\n",
" <th>delivery.provider.icon.name</th>\n",
" <th>delivery.provider.icon.prefix</th>\n",
" <th>delivery.provider.icon.sizes</th>\n",
" <th>delivery.provider.name</th>\n",
" <th>delivery.url</th>\n",
" <th>hasPerk</th>\n",
" <th>id</th>\n",
" <th>location.address</th>\n",
" <th>...</th>\n",
" <th>location.crossStreet</th>\n",
" <th>location.distance</th>\n",
" <th>location.formattedAddress</th>\n",
" <th>location.labeledLatLngs</th>\n",
" <th>location.lat</th>\n",
" <th>location.lng</th>\n",
" <th>location.postalCode</th>\n",
" <th>location.state</th>\n",
" <th>name</th>\n",
" <th>referralId</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>[{'id': '4bf58dd8d48988d1ca941735', 'name': 'P...</td>\n",
" <td>294544</td>\n",
" <td>/delivery_provider_seamless_20180129.png</td>\n",
" <td>https://fastly.4sqi.net/img/general/cap/</td>\n",
" <td>[40, 50]</td>\n",
" <td>seamless</td>\n",
" <td>https://www.seamless.com/menu/harrys-italian-p...</td>\n",
" <td>False</td>\n",
" <td>4fa862b3e4b0ebff2f749f06</td>\n",
" <td>225 Murray St</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>58</td>\n",
" <td>[225 Murray St, New York, NY 10282, United Sta...</td>\n",
" <td>[{'label': 'display', 'lat': 40.71521779064671...</td>\n",
" <td>40.715218</td>\n",
" <td>-74.014739</td>\n",
" <td>10282</td>\n",
" <td>NY</td>\n",
" <td>Harry's Italian Pizza Bar</td>\n",
" <td>v-1561216993</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>[{'id': '4d4b7105d754a06374d81259', 'name': 'F...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" <td>4f3232e219836c91c7bfde94</td>\n",
" <td>63 W Broadway</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>446</td>\n",
" <td>[63 W Broadway, New York, NY 10007, United Sta...</td>\n",
" <td>[{'label': 'display', 'lat': 40.71446, 'lng': ...</td>\n",
" <td>40.714460</td>\n",
" <td>-74.010086</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>Conca Cucina Italian Restaurant</td>\n",
" <td>v-1561216993</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>[{'id': '4bf58dd8d48988d110941735', 'name': 'I...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>False</td>\n",
" <td>3fd66200f964a520f4e41ee3</td>\n",
" <td>124 Chambers St</td>\n",
" <td>...</td>\n",
" <td>btwn Church St &amp; W Broadway</td>\n",
" <td>549</td>\n",
" <td>[124 Chambers St (btwn Church St &amp; W Broadway)...</td>\n",
" <td>[{'label': 'display', 'lat': 40.71533713859952...</td>\n",
" <td>40.715337</td>\n",
" <td>-74.008848</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>Ecco</td>\n",
" <td>v-1561216993</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3 rows × 23 columns</p>\n",
"</div>"
],
"text/plain": [
" categories delivery.id \\\n",
"0 [{'id': '4bf58dd8d48988d1ca941735', 'name': 'P... 294544 \n",
"1 [{'id': '4d4b7105d754a06374d81259', 'name': 'F... NaN \n",
"2 [{'id': '4bf58dd8d48988d110941735', 'name': 'I... NaN \n",
"\n",
" delivery.provider.icon.name \\\n",
"0 /delivery_provider_seamless_20180129.png \n",
"1 NaN \n",
"2 NaN \n",
"\n",
" delivery.provider.icon.prefix delivery.provider.icon.sizes \\\n",
"0 https://fastly.4sqi.net/img/general/cap/ [40, 50] \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"\n",
" delivery.provider.name delivery.url \\\n",
"0 seamless https://www.seamless.com/menu/harrys-italian-p... \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"\n",
" hasPerk id location.address ... \\\n",
"0 False 4fa862b3e4b0ebff2f749f06 225 Murray St ... \n",
"1 False 4f3232e219836c91c7bfde94 63 W Broadway ... \n",
"2 False 3fd66200f964a520f4e41ee3 124 Chambers St ... \n",
"\n",
" location.crossStreet location.distance \\\n",
"0 NaN 58 \n",
"1 NaN 446 \n",
"2 btwn Church St & W Broadway 549 \n",
"\n",
" location.formattedAddress \\\n",
"0 [225 Murray St, New York, NY 10282, United Sta... \n",
"1 [63 W Broadway, New York, NY 10007, United Sta... \n",
"2 [124 Chambers St (btwn Church St & W Broadway)... \n",
"\n",
" location.labeledLatLngs location.lat \\\n",
"0 [{'label': 'display', 'lat': 40.71521779064671... 40.715218 \n",
"1 [{'label': 'display', 'lat': 40.71446, 'lng': ... 40.714460 \n",
"2 [{'label': 'display', 'lat': 40.71533713859952... 40.715337 \n",
"\n",
" location.lng location.postalCode location.state \\\n",
"0 -74.014739 10282 NY \n",
"1 -74.010086 10007 NY \n",
"2 -74.008848 10007 NY \n",
"\n",
" name referralId \n",
"0 Harry's Italian Pizza Bar v-1561216993 \n",
"1 Conca Cucina Italian Restaurant v-1561216993 \n",
"2 Ecco v-1561216993 \n",
"\n",
"[3 rows x 23 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# assign relevant part of JSON to venues\n",
"venues = results['response']['venues']\n",
"\n",
"# tranform venues into a dataframe\n",
"dataframe = json_normalize(venues)\n",
"dataframe.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Define information of interest and filter dataframe"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>categories</th>\n",
" <th>address</th>\n",
" <th>cc</th>\n",
" <th>city</th>\n",
" <th>country</th>\n",
" <th>crossStreet</th>\n",
" <th>distance</th>\n",
" <th>formattedAddress</th>\n",
" <th>labeledLatLngs</th>\n",
" <th>lat</th>\n",
" <th>lng</th>\n",
" <th>postalCode</th>\n",
" <th>state</th>\n",
" <th>id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Harry's Italian Pizza Bar</td>\n",
" <td>Pizza Place</td>\n",
" <td>225 Murray St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>NaN</td>\n",
" <td>58</td>\n",
" <td>[225 Murray St, New York, NY 10282, United Sta...</td>\n",
" <td>[{'label': 'display', 'lat': 40.71521779064671...</td>\n",
" <td>40.715218</td>\n",
" <td>-74.014739</td>\n",
" <td>10282</td>\n",
" <td>NY</td>\n",
" <td>4fa862b3e4b0ebff2f749f06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Conca Cucina Italian Restaurant</td>\n",
" <td>Food</td>\n",
" <td>63 W Broadway</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>NaN</td>\n",
" <td>446</td>\n",
" <td>[63 W Broadway, New York, NY 10007, United Sta...</td>\n",
" <td>[{'label': 'display', 'lat': 40.71446, 'lng': ...</td>\n",
" <td>40.714460</td>\n",
" <td>-74.010086</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>4f3232e219836c91c7bfde94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Ecco</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>124 Chambers St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>btwn Church St &amp; W Broadway</td>\n",
" <td>549</td>\n",
" <td>[124 Chambers St (btwn Church St &amp; W Broadway)...</td>\n",
" <td>[{'label': 'display', 'lat': 40.71533713859952...</td>\n",
" <td>40.715337</td>\n",
" <td>-74.008848</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>3fd66200f964a520f4e41ee3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name categories address cc \\\n",
"0 Harry's Italian Pizza Bar Pizza Place 225 Murray St US \n",
"1 Conca Cucina Italian Restaurant Food 63 W Broadway US \n",
"2 Ecco Italian Restaurant 124 Chambers St US \n",
"\n",
" city country crossStreet distance \\\n",
"0 New York United States NaN 58 \n",
"1 New York United States NaN 446 \n",
"2 New York United States btwn Church St & W Broadway 549 \n",
"\n",
" formattedAddress \\\n",
"0 [225 Murray St, New York, NY 10282, United Sta... \n",
"1 [63 W Broadway, New York, NY 10007, United Sta... \n",
"2 [124 Chambers St (btwn Church St & W Broadway)... \n",
"\n",
" labeledLatLngs lat lng \\\n",
"0 [{'label': 'display', 'lat': 40.71521779064671... 40.715218 -74.014739 \n",
"1 [{'label': 'display', 'lat': 40.71446, 'lng': ... 40.714460 -74.010086 \n",
"2 [{'label': 'display', 'lat': 40.71533713859952... 40.715337 -74.008848 \n",
"\n",
" postalCode state id \n",
"0 10282 NY 4fa862b3e4b0ebff2f749f06 \n",
"1 10007 NY 4f3232e219836c91c7bfde94 \n",
"2 10007 NY 3fd66200f964a520f4e41ee3 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# keep only columns that include venue name, and anything that is associated with location\n",
"filtered_columns = ['name', 'categories'] + [col for col in dataframe.columns if col.startswith('location.')] + ['id']\n",
"dataframe_filtered = dataframe.loc[:, filtered_columns]\n",
"\n",
"# function that extracts the category of the venue\n",
"def get_category_type(row):\n",
" try:\n",
" categories_list = row['categories']\n",
" except:\n",
" categories_list = row['venue.categories']\n",
" \n",
" if len(categories_list) == 0:\n",
" return None\n",
" else:\n",
" return categories_list[0]['name']\n",
"\n",
"# filter the category for each row\n",
"dataframe_filtered['categories'] = dataframe_filtered.apply(get_category_type, axis=1)\n",
"\n",
"# clean column names by keeping only last term\n",
"dataframe_filtered.columns = [column.split('.')[-1] for column in dataframe_filtered.columns]\n",
"\n",
"dataframe_filtered"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's visualize the Italian restaurants that are nearby"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"0 Harry's Italian Pizza Bar\n",
"1 Conca Cucina Italian Restaurant\n",
"2 Ecco\n",
"Name: name, dtype: object"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataframe_filtered.name"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_6d855762b41a416f8ea4afca6a2b444c {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_6d855762b41a416f8ea4afca6a2b444c" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_6d855762b41a416f8ea4afca6a2b444c = L.map(
                                  'map_6d855762b41a416f8ea4afca6a2b444c',
                                  {center: [40.7149555,-74.0153365],
                                  zoom: 13,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_49f6c62fadc248f488e2564c4e4d1938 = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_6d855762b41a416f8ea4afca6a2b444c);
        
    
            var circle_marker_ac24453c7a6c45318f092157587934ca = L.circleMarker(
                [40.7149555,-74.0153365],
                {
  "bubblingMouseEvents": true,
  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "red",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 10,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_6d855762b41a416f8ea4afca6a2b444c);
            
    
            var popup_8392f495adac4bf3aa2622ec9e064f5c = L.popup({maxWidth: '300'});

            
                var html_96df219e2db6450ba1e3a2dcb6f9bc81 = $('<div id="html_96df219e2db6450ba1e3a2dcb6f9bc81" style="width: 100.0%; height: 100.0%;">Conrad Hotel</div>')[0];
                popup_8392f495adac4bf3aa2622ec9e064f5c.setContent(html_96df219e2db6450ba1e3a2dcb6f9bc81);
            

            circle_marker_ac24453c7a6c45318f092157587934ca.bindPopup(popup_8392f495adac4bf3aa2622ec9e064f5c);

            
        
    
            var circle_marker_8fc8a836790c4b1eae0809ec055ab313 = L.circleMarker(
                [40.71521779064671,-74.01473940209351],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_6d855762b41a416f8ea4afca6a2b444c);
            
    
            var popup_a27365b81770442d8ffb1ba569e07b5c = L.popup({maxWidth: '300'});

            
                var html_ecc4f13b35124b0f82541e3ee8ff83e3 = $('<div id="html_ecc4f13b35124b0f82541e3ee8ff83e3" style="width: 100.0%; height: 100.0%;">Pizza Place</div>')[0];
                popup_a27365b81770442d8ffb1ba569e07b5c.setContent(html_ecc4f13b35124b0f82541e3ee8ff83e3);
            

            circle_marker_8fc8a836790c4b1eae0809ec055ab313.bindPopup(popup_a27365b81770442d8ffb1ba569e07b5c);

            
        
    
            var circle_marker_c8d6e4cde35944509f8b623b32872f80 = L.circleMarker(
                [40.71446,-74.010086],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_6d855762b41a416f8ea4afca6a2b444c);
            
    
            var popup_333a9b7569244aad94a0a1c9190fbc5c = L.popup({maxWidth: '300'});

            
                var html_9c6a629eb2444801b055127c2bbf880b = $('<div id="html_9c6a629eb2444801b055127c2bbf880b" style="width: 100.0%; height: 100.0%;">Food</div>')[0];
                popup_333a9b7569244aad94a0a1c9190fbc5c.setContent(html_9c6a629eb2444801b055127c2bbf880b);
            

            circle_marker_c8d6e4cde35944509f8b623b32872f80.bindPopup(popup_333a9b7569244aad94a0a1c9190fbc5c);

            
        
    
            var circle_marker_6fba8d52060d45199a8a147d4ed9c297 = L.circleMarker(
                [40.71533713859952,-74.00884766217825],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_6d855762b41a416f8ea4afca6a2b444c);
            
    
            var popup_1d5173c360c84b58932b241785170655 = L.popup({maxWidth: '300'});

            
                var html_474b204a4fb2445895b33158e374a92b = $('<div id="html_474b204a4fb2445895b33158e374a92b" style="width: 100.0%; height: 100.0%;">Italian Restaurant</div>')[0];
                popup_1d5173c360c84b58932b241785170655.setContent(html_474b204a4fb2445895b33158e374a92b);
            

            circle_marker_6fba8d52060d45199a8a147d4ed9c297.bindPopup(popup_1d5173c360c84b58932b241785170655);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f7084465ac8>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"venues_map = folium.Map(location=[latitude, longitude], zoom_start=13) # generate map centred around the Conrad Hotel\n",
"\n",
"# add a red circle marker to represent the Conrad Hotel\n",
"folium.features.CircleMarker(\n",
" [latitude, longitude],\n",
" radius=10,\n",
" color='red',\n",
" popup='Conrad Hotel',\n",
" fill = True,\n",
" fill_color = 'red',\n",
" fill_opacity = 0.6\n",
").add_to(venues_map)\n",
"\n",
"# add the Italian restaurants as blue circle markers\n",
"for lat, lng, label in zip(dataframe_filtered.lat, dataframe_filtered.lng, dataframe_filtered.categories):\n",
" folium.features.CircleMarker(\n",
" [lat, lng],\n",
" radius=5,\n",
" color='blue',\n",
" popup=label,\n",
" fill = True,\n",
" fill_color='blue',\n",
" fill_opacity=0.6\n",
" ).add_to(venues_map)\n",
"\n",
"# display map\n",
"venues_map"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a id=\"item2\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## 2. Explore a Given Venue\n",
"> `https://api.foursquare.com/v2/venues/`**VENUE_ID**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&v=`**VERSION**"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### A. Let's explore the closest Italian restaurant -- _Harry's Italian Pizza Bar_"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"'https://api.foursquare.com/v2/venues/4fa862b3e4b0ebff2f749f06?client_id=QRSESDGRD2J0UGUIBAOB0J0ZTN2FCAQT12CWCIC10RXCB1QS&client_secret=WWB1FS3SR33MN3XW2VBZQ2GWPWELFP423ECYIZPRAKYDPRXS&v=20180604'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"venue_id = '4fa862b3e4b0ebff2f749f06' # ID of Harry's Italian Pizza Bar\n",
"url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
"url"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Send GET request for result"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dict_keys(['id', 'name', 'contact', 'location', 'canonicalUrl', 'categories', 'verified', 'stats', 'url', 'price', 'hasMenu', 'likes', 'dislike', 'ok', 'rating', 'ratingColor', 'ratingSignals', 'delivery', 'menu', 'allowMenuUrlEdit', 'beenHere', 'specials', 'photos', 'reasons', 'hereNow', 'createdAt', 'tips', 'shortUrl', 'timeZone', 'listed', 'hours', 'popular', 'pageUpdates', 'inbox', 'attributes', 'bestPhoto', 'colors'])\n"
]
},
{
"data": {
"text/plain": [
"{'id': '4fa862b3e4b0ebff2f749f06',\n",
" 'name': \"Harry's Italian Pizza Bar\",\n",
" 'contact': {'phone': '2126081007', 'formattedPhone': '(212) 608-1007'},\n",
" 'location': {'address': '225 Murray St',\n",
" 'lat': 40.71521779064671,\n",
" 'lng': -74.01473940209351,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 40.71521779064671,\n",
" 'lng': -74.01473940209351}],\n",
" 'postalCode': '10282',\n",
" 'cc': 'US',\n",
" 'city': 'New York',\n",
" 'state': 'NY',\n",
" 'country': 'United States',\n",
" 'formattedAddress': ['225 Murray St',\n",
" 'New York, NY 10282',\n",
" 'United States']},\n",
" 'canonicalUrl': 'https://foursquare.com/v/harrys-italian-pizza-bar/4fa862b3e4b0ebff2f749f06',\n",
" 'categories': [{'id': '4bf58dd8d48988d1ca941735',\n",
" 'name': 'Pizza Place',\n",
" 'pluralName': 'Pizza Places',\n",
" 'shortName': 'Pizza',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',\n",
" 'suffix': '.png'},\n",
" 'primary': True},\n",
" {'id': '4bf58dd8d48988d110941735',\n",
" 'name': 'Italian Restaurant',\n",
" 'pluralName': 'Italian Restaurants',\n",
" 'shortName': 'Italian',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/italian_',\n",
" 'suffix': '.png'}}],\n",
" 'verified': False,\n",
" 'stats': {'tipCount': 57},\n",
" 'url': 'http://harrysitalian.com',\n",
" 'price': {'tier': 2, 'message': 'Moderate', 'currency': '$'},\n",
" 'hasMenu': True,\n",
" 'likes': {'count': 120,\n",
" 'groups': [{'type': 'others', 'count': 120, 'items': []}],\n",
" 'summary': '120 Likes'},\n",
" 'dislike': False,\n",
" 'ok': False,\n",
" 'rating': 7.1,\n",
" 'ratingColor': 'C5DE35',\n",
" 'ratingSignals': 213,\n",
" 'delivery': {'id': '294544',\n",
" 'url': 'https://www.seamless.com/menu/harrys-italian-pizza-bar-225-murray-st-new-york/294544?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=294544',\n",
" 'provider': {'name': 'seamless',\n",
" 'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',\n",
" 'sizes': [40, 50],\n",
" 'name': '/delivery_provider_seamless_20180129.png'}}},\n",
" 'menu': {'type': 'Menu',\n",
" 'label': 'Menu',\n",
" 'anchor': 'View Menu',\n",
" 'url': 'https://foursquare.com/v/harrys-italian-pizza-bar/4fa862b3e4b0ebff2f749f06/menu',\n",
" 'mobileUrl': 'https://foursquare.com/v/4fa862b3e4b0ebff2f749f06/device_menu'},\n",
" 'allowMenuUrlEdit': True,\n",
" 'beenHere': {'count': 0,\n",
" 'unconfirmedCount': 0,\n",
" 'marked': False,\n",
" 'lastCheckinExpiredAt': 0},\n",
" 'specials': {'count': 0, 'items': []},\n",
" 'photos': {'count': 149,\n",
" 'groups': [{'type': 'checkin',\n",
" 'name': \"Friends' check-in photos\",\n",
" 'count': 0,\n",
" 'items': []},\n",
" {'type': 'venue',\n",
" 'name': 'Venue photos',\n",
" 'count': 149,\n",
" 'items': [{'id': '4fad980de4b091b4626c3633',\n",
" 'createdAt': 1336776717,\n",
" 'source': {'name': 'Foursquare for Android',\n",
" 'url': 'https://foursquare.com/download/#/android'},\n",
" 'prefix': 'https://fastly.4sqi.net/img/general/',\n",
" 'suffix': '/ya1iQFI7pLjuIJp1PGDKlrZS3OJdHCF7tpILMmjv_2w.jpg',\n",
" 'width': 480,\n",
" 'height': 640,\n",
" 'user': {'id': '13676709',\n",
" 'firstName': 'Leony',\n",
" 'lastName': 'N',\n",
" 'gender': 'none',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/T0ANFNGNMCHUDEUE.jpg'}},\n",
" 'visibility': 'public'}]}],\n",
" 'summary': '0 photos'},\n",
" 'reasons': {'count': 1,\n",
" 'items': [{'summary': 'Lots of people like this place',\n",
" 'type': 'general',\n",
" 'reasonName': 'rawLikesReason'}]},\n",
" 'hereNow': {'count': 0, 'summary': 'Nobody here', 'groups': []},\n",
" 'createdAt': 1336435379,\n",
" 'tips': {'count': 57,\n",
" 'groups': [{'type': 'others',\n",
" 'name': 'All tips',\n",
" 'count': 57,\n",
" 'items': [{'id': '53d27909498e0523841340b6',\n",
" 'createdAt': 1406302473,\n",
" 'text': \"Harry's Italian Pizza bar is known for it's amazing pizza, but did you know that the brunches here are amazing too? Try the Nutella French toast and we know you'll be sold.\",\n",
" 'type': 'user',\n",
" 'canonicalUrl': 'https://foursquare.com/item/53d27909498e0523841340b6',\n",
" 'lang': 'en',\n",
" 'likes': {'count': 4,\n",
" 'groups': [{'type': 'others',\n",
" 'count': 4,\n",
" 'items': [{'id': '369426',\n",
" 'firstName': 'P.',\n",
" 'lastName': 'M',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/JPQYUWJKUT0H2OO4.jpg'}},\n",
" {'id': '87587879',\n",
" 'firstName': 'Diane',\n",
" 'lastName': 'D',\n",
" 'gender': 'female',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/87587879-ESLRSZLQ2CBE2P4W.jpg'}},\n",
" {'id': '87591341',\n",
" 'firstName': 'Tim',\n",
" 'lastName': 'S',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/-Z4YK4VKE0JSVXIY1.jpg'}},\n",
" {'id': '87473404',\n",
" 'firstName': 'TenantKing.com',\n",
" 'gender': 'none',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/87473404-HI5DTBTK0HX401CA.png'},\n",
" 'type': 'page'}]}],\n",
" 'summary': '4 likes'},\n",
" 'logView': True,\n",
" 'agreeCount': 4,\n",
" 'disagreeCount': 0,\n",
" 'todo': {'count': 0},\n",
" 'user': {'id': '87473404',\n",
" 'firstName': 'TenantKing.com',\n",
" 'gender': 'none',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/87473404-HI5DTBTK0HX401CA.png'},\n",
" 'type': 'page'}}]}]},\n",
" 'shortUrl': 'http://4sq.com/JNblHV',\n",
" 'timeZone': 'America/New_York',\n",
" 'listed': {'count': 54,\n",
" 'groups': [{'type': 'others',\n",
" 'name': 'Lists from other people',\n",
" 'count': 54,\n",
" 'items': [{'id': '4fa32fd0e4b04193744746b1',\n",
" 'name': 'Manhattan Haunts',\n",
" 'description': '',\n",
" 'type': 'others',\n",
" 'user': {'id': '24592223',\n",
" 'firstName': 'Becca',\n",
" 'lastName': 'M',\n",
" 'gender': 'female',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/24592223-RAW2UYM0GIB1U40K.jpg'}},\n",
" 'editable': False,\n",
" 'public': True,\n",
" 'collaborative': False,\n",
" 'url': '/becca_mcarthur/list/manhattan-haunts',\n",
" 'canonicalUrl': 'https://foursquare.com/becca_mcarthur/list/manhattan-haunts',\n",
" 'createdAt': 1336094672,\n",
" 'updatedAt': 1380845377,\n",
" 'photo': {'id': '4e8cc9461081e3b3544e12e5',\n",
" 'createdAt': 1317849414,\n",
" 'prefix': 'https://fastly.4sqi.net/img/general/',\n",
" 'suffix': '/0NLVU2HC1JF4DXIMKWUFW3QBUT31DC11EFNYYHMJG3NDWAPS.jpg',\n",
" 'width': 492,\n",
" 'height': 330,\n",
" 'user': {'id': '742542',\n",
" 'firstName': 'Time Out New York',\n",
" 'gender': 'none',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/XXHKCBSQHBORZNSR.jpg'},\n",
" 'type': 'page'},\n",
" 'visibility': 'public'},\n",
" 'followers': {'count': 22},\n",
" 'listItems': {'count': 187,\n",
" 'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
" 'createdAt': 1342934485}]}},\n",
" {'id': '4fae817be4b085f6b2a74d19',\n",
" 'name': 'USA NYC MAN FiDi',\n",
" 'description': 'Where to go for decent eats in the restaurant wasteland of Downtown NYC aka FiDi, along with Tribeca & Battery Park City.',\n",
" 'type': 'others',\n",
" 'user': {'id': '12113441',\n",
" 'firstName': 'Kino',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/12113441-K5HTHFLU2MUCM0CM.jpg'}},\n",
" 'editable': False,\n",
" 'public': True,\n",
" 'collaborative': False,\n",
" 'url': '/kinosfault/list/usa-nyc-man-fidi',\n",
" 'canonicalUrl': 'https://foursquare.com/kinosfault/list/usa-nyc-man-fidi',\n",
" 'createdAt': 1336836475,\n",
" 'updatedAt': 1556754919,\n",
" 'photo': {'id': '55984992498e13ba75e353bb',\n",
" 'createdAt': 1436043666,\n",
" 'prefix': 'https://fastly.4sqi.net/img/general/',\n",
" 'suffix': '/12113441_iOa6Uh-Xi8bhj2-gpzkkw8MKiAIs7RmOcz_RM7m8ink.jpg',\n",
" 'width': 540,\n",
" 'height': 960,\n",
" 'user': {'id': '12113441',\n",
" 'firstName': 'Kino',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/12113441-K5HTHFLU2MUCM0CM.jpg'}},\n",
" 'visibility': 'public'},\n",
" 'followers': {'count': 20},\n",
" 'listItems': {'count': 273,\n",
" 'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
" 'createdAt': 1373909433}]}},\n",
" {'id': '4fddeff0e4b0e078037ac0d3',\n",
" 'name': 'NYC Resturants',\n",
" 'description': '',\n",
" 'type': 'others',\n",
" 'user': {'id': '21563126',\n",
" 'firstName': 'Richard',\n",
" 'lastName': 'R',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/21563126_v05J1KPw_SVj6Ehq9g8B9jeAGjFUMsU5QGl-NZ8inUQ7pKQm5bKplW37EmR7jS2A7GYPBBAtl.jpg'}},\n",
" 'editable': False,\n",
" 'public': True,\n",
" 'collaborative': True,\n",
" 'url': '/rickr7/list/nyc-resturants',\n",
" 'canonicalUrl': 'https://foursquare.com/rickr7/list/nyc-resturants',\n",
" 'createdAt': 1339944944,\n",
" 'updatedAt': 1559554908,\n",
" 'photo': {'id': '5072dd13e4b09145cdf782d1',\n",
" 'createdAt': 1349704979,\n",
" 'prefix': 'https://fastly.4sqi.net/img/general/',\n",
" 'suffix': '/208205_fGh2OuAZ9qJ4agbAA5wMVNOSIm9kNUlRtNwj1N-adqg.jpg',\n",
" 'width': 800,\n",
" 'height': 800,\n",
" 'user': {'id': '208205',\n",
" 'firstName': 'Thalia',\n",
" 'lastName': 'K',\n",
" 'gender': 'female',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/SNOOLCAW2AG04ZKD.jpg'}},\n",
" 'visibility': 'public'},\n",
" 'followers': {'count': 12},\n",
" 'listItems': {'count': 195,\n",
" 'items': [{'id': 't54ed3b13498e857fd7dbb6fc',\n",
" 'createdAt': 1514680908}]}},\n",
" {'id': '5266c68a498e7c667807fe09',\n",
" 'name': 'Foodie Love in NY - 02',\n",
" 'description': '',\n",
" 'type': 'others',\n",
" 'user': {'id': '547977',\n",
" 'firstName': 'WiLL',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/-Q5NYGDMFDMOITQRR.jpg'}},\n",
" 'editable': False,\n",
" 'public': True,\n",
" 'collaborative': False,\n",
" 'url': '/sweetiewill/list/foodie-love-in-ny--02',\n",
" 'canonicalUrl': 'https://foursquare.com/sweetiewill/list/foodie-love-in-ny--02',\n",
" 'createdAt': 1382467210,\n",
" 'updatedAt': 1391995585,\n",
" 'followers': {'count': 7},\n",
" 'listItems': {'count': 200,\n",
" 'items': [{'id': 'v4fa862b3e4b0ebff2f749f06',\n",
" 'createdAt': 1386809936}]}}]}]},\n",
" 'hours': {'status': 'Closed until 11:30 AM',\n",
" 'richStatus': {'entities': [], 'text': 'Closed until 11:30 AM'},\n",
" 'isOpen': False,\n",
" 'isLocalHoliday': False,\n",
" 'dayData': [],\n",
" 'timeframes': [{'days': 'Mon–Wed, Sun',\n",
" 'open': [{'renderedTime': '11:30 AM–11:00 PM'}],\n",
" 'segments': []},\n",
" {'days': 'Thu–Sat',\n",
" 'includesToday': True,\n",
" 'open': [{'renderedTime': '11:30 AM–Midnight'}],\n",
" 'segments': []}]},\n",
" 'popular': {'isOpen': False,\n",
" 'isLocalHoliday': False,\n",
" 'timeframes': [{'days': 'Today',\n",
" 'includesToday': True,\n",
" 'open': [{'renderedTime': 'Noon–11:00 PM'}],\n",
" 'segments': []},\n",
" {'days': 'Sun',\n",
" 'open': [{'renderedTime': 'Noon–3:00 PM'},\n",
" {'renderedTime': '5:00 PM–8:00 PM'}],\n",
" 'segments': []},\n",
" {'days': 'Mon',\n",
" 'open': [{'renderedTime': 'Noon–2:00 PM'},\n",
" {'renderedTime': '6:00 PM–8:00 PM'}],\n",
" 'segments': []},\n",
" {'days': 'Tue–Thu',\n",
" 'open': [{'renderedTime': 'Noon–2:00 PM'},\n",
" {'renderedTime': '5:00 PM–10:00 PM'}],\n",
" 'segments': []},\n",
" {'days': 'Fri',\n",
" 'open': [{'renderedTime': 'Noon–3:00 PM'},\n",
" {'renderedTime': '5:00 PM–11:00 PM'}],\n",
" 'segments': []}]},\n",
" 'pageUpdates': {'count': 0, 'items': []},\n",
" 'inbox': {'count': 0, 'items': []},\n",
" 'attributes': {'groups': [{'type': 'price',\n",
" 'name': 'Price',\n",
" 'summary': '$$',\n",
" 'count': 1,\n",
" 'items': [{'displayName': 'Price', 'displayValue': '$$', 'priceTier': 2}]},\n",
" {'type': 'payments',\n",
" 'name': 'Credit Cards',\n",
" 'summary': 'Credit Cards',\n",
" 'count': 7,\n",
" 'items': [{'displayName': 'Credit Cards',\n",
" 'displayValue': 'Yes (incl. American Express)'}]},\n",
" {'type': 'outdoorSeating',\n",
" 'name': 'Outdoor Seating',\n",
" 'summary': 'Outdoor Seating',\n",
" 'count': 1,\n",
" 'items': [{'displayName': 'Outdoor Seating', 'displayValue': 'Yes'}]},\n",
" {'type': 'serves',\n",
" 'name': 'Menus',\n",
" 'summary': 'Happy Hour, Brunch & more',\n",
" 'count': 8,\n",
" 'items': [{'displayName': 'Brunch', 'displayValue': 'Brunch'},\n",
" {'displayName': 'Lunch', 'displayValue': 'Lunch'},\n",
" {'displayName': 'Dinner', 'displayValue': 'Dinner'},\n",
" {'displayName': 'Happy Hour', 'displayValue': 'Happy Hour'}]},\n",
" {'type': 'drinks',\n",
" 'name': 'Drinks',\n",
" 'summary': 'Beer, Wine & Cocktails',\n",
" 'count': 5,\n",
" 'items': [{'displayName': 'Beer', 'displayValue': 'Beer'},\n",
" {'displayName': 'Wine', 'displayValue': 'Wine'},\n",
" {'displayName': 'Cocktails', 'displayValue': 'Cocktails'}]},\n",
" {'type': 'diningOptions',\n",
" 'name': 'Dining Options',\n",
" 'summary': 'Delivery',\n",
" 'count': 5,\n",
" 'items': [{'displayName': 'Delivery', 'displayValue': 'Delivery'}]}]},\n",
" 'bestPhoto': {'id': '4fad980de4b091b4626c3633',\n",
" 'createdAt': 1336776717,\n",
" 'source': {'name': 'Foursquare for Android',\n",
" 'url': 'https://foursquare.com/download/#/android'},\n",
" 'prefix': 'https://fastly.4sqi.net/img/general/',\n",
" 'suffix': '/ya1iQFI7pLjuIJp1PGDKlrZS3OJdHCF7tpILMmjv_2w.jpg',\n",
" 'width': 480,\n",
" 'height': 640,\n",
" 'visibility': 'public'},\n",
" 'colors': {'highlightColor': {'photoId': '4fad980de4b091b4626c3633',\n",
" 'value': -13619152},\n",
" 'highlightTextColor': {'photoId': '4fad980de4b091b4626c3633', 'value': -1},\n",
" 'algoVersion': 3}}"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result = requests.get(url).json()\n",
"print(result['response']['venue'].keys())\n",
"result['response']['venue']"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### B. Get the venue's overall rating"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7.1\n"
]
}
],
"source": [
"try:\n",
" print(result['response']['venue']['rating'])\n",
"except:\n",
" print('This venue has not been rated yet.')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"That is not a very good rating. Let's check the rating of the second closest Italian restaurant."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"This venue has not been rated yet.\n"
]
}
],
"source": [
"venue_id = '4f3232e219836c91c7bfde94' # ID of Conca Cucina Italian Restaurant\n",
"url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
"\n",
"result = requests.get(url).json()\n",
"try:\n",
" print(result['response']['venue']['rating'])\n",
"except:\n",
" print('This venue has not been rated yet.')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Since this restaurant has no ratings, let's check the third restaurant."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7.9\n"
]
}
],
"source": [
"venue_id = '3fd66200f964a520f4e41ee3' # ID of Ecco\n",
"url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
"\n",
"result = requests.get(url).json()\n",
"try:\n",
" print(result['response']['venue']['rating'])\n",
"except:\n",
" print('This venue has not been rated yet.')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Since this restaurant has a slightly better rating, let's explore it further."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### C. Get the number of tips"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"17"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result['response']['venue']['tips']['count']"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### D. Get the venue's tips\n",
"> `https://api.foursquare.com/v2/venues/`**VENUE_ID**`/tips?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&v=`**VERSION**`&limit=`**LIMIT**"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Create URL and send GET request. Make sure to set limit to get all tips"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'meta': {'code': 200, 'requestId': '5d0e48296e69af0025ba43c4'},\n",
" 'response': {'tips': {'count': 17,\n",
" 'items': [{'id': '5ab1cb46c9a517174651d3fe',\n",
" 'createdAt': 1521601350,\n",
" 'text': 'A+ Italian food! Trust me on this: my mom’s side of the family is 100% Italian. I was born and bred to know good pasta when I see it, and Ecco is one of my all-time NYC favorites',\n",
" 'type': 'user',\n",
" 'canonicalUrl': 'https://foursquare.com/item/5ab1cb46c9a517174651d3fe',\n",
" 'lang': 'en',\n",
" 'likes': {'count': 0, 'groups': []},\n",
" 'logView': True,\n",
" 'agreeCount': 3,\n",
" 'disagreeCount': 0,\n",
" 'lastVoteText': 'Upvoted May 14',\n",
" 'lastUpvoteTimestamp': 1557868336,\n",
" 'todo': {'count': 0},\n",
" 'user': {'id': '484542633',\n",
" 'firstName': 'Nick',\n",
" 'lastName': 'E',\n",
" 'gender': 'male',\n",
" 'photo': {'prefix': 'https://fastly.4sqi.net/img/user/',\n",
" 'suffix': '/484542633_mK2Yum7T_7Tn9fWpndidJsmw2Hof_6T5vJBKCHPLMK5OL-U5ZiJGj51iwBstcpDLYa3Zvhvis.jpg'}},\n",
" 'authorInteractionType': 'liked'}]}}}"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## Ecco Tips\n",
"limit = 15 # set limit to be greater than or equal to the total number of tips\n",
"url = 'https://api.foursquare.com/v2/venues/{}/tips?client_id={}&client_secret={}&v={}&limit={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION, limit)\n",
"\n",
"results = requests.get(url).json()\n",
"results"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Get tips and list of associated features"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['id', 'createdAt', 'text', 'type', 'canonicalUrl', 'lang', 'likes', 'logView', 'agreeCount', 'disagreeCount', 'lastVoteText', 'lastUpvoteTimestamp', 'todo', 'user', 'authorInteractionType'])"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips = results['response']['tips']['items']\n",
"\n",
"tip = results['response']['tips']['items'][0]\n",
"tip.keys()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Format column width and display all tips"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>text</th>\n",
" <th>agreeCount</th>\n",
" <th>disagreeCount</th>\n",
" <th>id</th>\n",
" <th>user.firstName</th>\n",
" <th>user.lastName</th>\n",
" <th>user.gender</th>\n",
" <th>user.id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>A+ Italian food! Trust me on this: my mom’s side of the family is 100% Italian. I was born and bred to know good pasta when I see it, and Ecco is one of my all-time NYC favorites</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>5ab1cb46c9a517174651d3fe</td>\n",
" <td>Nick</td>\n",
" <td>E</td>\n",
" <td>male</td>\n",
" <td>484542633</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" text \\\n",
"0 A+ Italian food! Trust me on this: my mom’s side of the family is 100% Italian. I was born and bred to know good pasta when I see it, and Ecco is one of my all-time NYC favorites \n",
"\n",
" agreeCount disagreeCount id user.firstName \\\n",
"0 3 0 5ab1cb46c9a517174651d3fe Nick \n",
"\n",
" user.lastName user.gender user.id \n",
"0 E male 484542633 "
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.set_option('display.max_colwidth', -1)\n",
"\n",
"tips_df = json_normalize(tips) # json normalize tips\n",
"\n",
"# columns to keep\n",
"filtered_columns = ['text', 'agreeCount', 'disagreeCount', 'id', 'user.firstName', 'user.lastName', 'user.gender', 'user.id']\n",
"tips_filtered = tips_df.loc[:, filtered_columns]\n",
"\n",
"# display tips\n",
"tips_filtered"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Now remember that because we are using a personal developer account, then we can access only 2 of the restaurant's tips, instead of all 15 tips."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a id=\"item3\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## 3. Search a Foursquare User\n",
"> `https://api.foursquare.com/v2/users/`**USER_ID**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&v=`**VERSION**"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Define URL, send GET request and display features associated with user"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['id', 'firstName', 'lastName', 'gender', 'canonicalUrl', 'photo', 'friends', 'tips', 'homeCity', 'bio', 'contact', 'photos', 'type', 'mayorships', 'checkins', 'lists', 'lenses'])"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"user_id = '484542633' # user ID with most agree counts and complete profile\n",
"\n",
"url = 'https://api.foursquare.com/v2/users/{}?client_id={}&client_secret={}&v={}'.format(user_id, CLIENT_ID, CLIENT_SECRET, VERSION) # define URL\n",
"\n",
"# send GET request\n",
"results = requests.get(url).json()\n",
"user_data = results['response']['user']\n",
"\n",
"# display features associated with user\n",
"user_data.keys()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"First Name: Nick\n",
"Last Name: E\n",
"Home City: New York, NY\n"
]
}
],
"source": [
"print('First Name: ' + user_data['firstName'])\n",
"print('Last Name: ' + user_data['lastName'])\n",
"print('Home City: ' + user_data['homeCity'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### How many tips has this user submitted?"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'count': 239}"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"user_data['tips']"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Wow! So it turns out that Nick is a very active Foursquare user, with more than 250 tips."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Get User's tips"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>text</th>\n",
" <th>agreeCount</th>\n",
" <th>disagreeCount</th>\n",
" <th>id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>The best! I’m especially fond of the salmon burger, but I’ve had half of the menu and never been disappointed. There’s a reason this place is well known even outside of the Village!</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5aec594b1f7440002c138612</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>I used to down a pint of chocolate like it was nothing back when I was bulking. Highly recommended!</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5accc9f66fa81f196724807b</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>They serve coffee!!!!!!</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5accc98c0313204c9d7ec157</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>I’m a fan. In fact, I’m such a big fan, I want Taim to hire me to be their spokesman. Kind of like the Arabic Jared Fogle - but without the kid stuff.</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5accbf033abcaf09a24612a0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>The linguine with clams is on point 👌</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5accbe3a911fc423730f3ed3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Great for a quick, cheap lunch! Shorter lines than Chipotle too👌</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5acbecb86fa81f1967e019b0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Quick, cheap lunch that tastes good! Way shorter line than Chipotle, too.</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5acbec70a0215b732e264fe8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>You’re not a real New Yorker until you’ve shame-ordered Insomnia Cookies for delivery at 3am</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5acbbd4eb1538e45373b07f5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Good for you yet still tasty! Clean green protein is my go-to after I hit the gym 💪</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>5acbbcda01235808d5d6dc75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Coffee game on point</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5acbbb1501235808d5d6525e</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>This is the dive bar to end all other dive bars. Go here if you like cheap drinks! 🥃</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>5ab576abea1e444f2abb051e</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Burger game strong 💪</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5ab575fb6bdee65f759da8c1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Great burgers &amp; fries! Also, this place is exactly what it’s like when you go to a bar in the Southwest. Source: I’m from Arizona.</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>5ab5575d73fe2516ad8f363b</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>That guy looks familiar...</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5ab5299635f98312029a53b7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Açaí bowl + peanut butter + whey protein = 💪💪💪</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>5ab42db53c858d64af2688a4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" text \\\n",
"0 The best! I’m especially fond of the salmon burger, but I’ve had half of the menu and never been disappointed. There’s a reason this place is well known even outside of the Village! \n",
"1 I used to down a pint of chocolate like it was nothing back when I was bulking. Highly recommended! \n",
"2 They serve coffee!!!!!! \n",
"3 I’m a fan. In fact, I’m such a big fan, I want Taim to hire me to be their spokesman. Kind of like the Arabic Jared Fogle - but without the kid stuff. \n",
"4 The linguine with clams is on point 👌 \n",
"5 Great for a quick, cheap lunch! Shorter lines than Chipotle too👌 \n",
"6 Quick, cheap lunch that tastes good! Way shorter line than Chipotle, too. \n",
"7 You’re not a real New Yorker until you’ve shame-ordered Insomnia Cookies for delivery at 3am \n",
"8 Good for you yet still tasty! Clean green protein is my go-to after I hit the gym 💪 \n",
"9 Coffee game on point \n",
"10 This is the dive bar to end all other dive bars. Go here if you like cheap drinks! 🥃 \n",
"11 Burger game strong 💪 \n",
"12 Great burgers & fries! Also, this place is exactly what it’s like when you go to a bar in the Southwest. Source: I’m from Arizona. \n",
"13 That guy looks familiar... \n",
"14 Açaí bowl + peanut butter + whey protein = 💪💪💪 \n",
"\n",
" agreeCount disagreeCount id \n",
"0 1 0 5aec594b1f7440002c138612 \n",
"1 1 0 5accc9f66fa81f196724807b \n",
"2 1 0 5accc98c0313204c9d7ec157 \n",
"3 1 0 5accbf033abcaf09a24612a0 \n",
"4 1 0 5accbe3a911fc423730f3ed3 \n",
"5 1 0 5acbecb86fa81f1967e019b0 \n",
"6 1 0 5acbec70a0215b732e264fe8 \n",
"7 1 0 5acbbd4eb1538e45373b07f5 \n",
"8 2 0 5acbbcda01235808d5d6dc75 \n",
"9 1 0 5acbbb1501235808d5d6525e \n",
"10 2 0 5ab576abea1e444f2abb051e \n",
"11 1 0 5ab575fb6bdee65f759da8c1 \n",
"12 2 0 5ab5575d73fe2516ad8f363b \n",
"13 1 0 5ab5299635f98312029a53b7 \n",
"14 1 0 5ab42db53c858d64af2688a4 "
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# define tips URL\n",
"url = 'https://api.foursquare.com/v2/users/{}/tips?client_id={}&client_secret={}&v={}&limit={}'.format(user_id, CLIENT_ID, CLIENT_SECRET, VERSION, limit)\n",
"\n",
"# send GET request and get user's tips\n",
"results = requests.get(url).json()\n",
"tips = results['response']['tips']['items']\n",
"\n",
"# format column width\n",
"pd.set_option('display.max_colwidth', -1)\n",
"\n",
"tips_df = json_normalize(tips)\n",
"\n",
"# filter columns\n",
"filtered_columns = ['text', 'agreeCount', 'disagreeCount', 'id']\n",
"tips_filtered = tips_df.loc[:, filtered_columns]\n",
"\n",
"# display user's tips\n",
"tips_filtered"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's get the venue for the tip with the greatest number of agree counts"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cowgirl\n",
"{'address': '519 Hudson St', 'crossStreet': 'at W 10th St', 'lat': 40.73373338282062, 'lng': -74.0062998849649, 'labeledLatLngs': [{'label': 'display', 'lat': 40.73373338282062, 'lng': -74.0062998849649}], 'postalCode': '10014', 'cc': 'US', 'city': 'New York', 'state': 'NY', 'country': 'United States', 'formattedAddress': ['519 Hudson St (at W 10th St)', 'New York, NY 10014', 'United States']}\n"
]
}
],
"source": [
"tip_id = '5ab5575d73fe2516ad8f363b' # tip id\n",
"\n",
"# define URL\n",
"url = 'http://api.foursquare.com/v2/tips/{}?client_id={}&client_secret={}&v={}'.format(tip_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
"\n",
"# send GET Request and examine results\n",
"result = requests.get(url).json()\n",
"print(result['response']['tip']['venue']['name'])\n",
"print(result['response']['tip']['venue']['location'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Get User's friends"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: []\n",
"Index: []"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"user_friends = json_normalize(user_data['friends']['groups'][0]['items'])\n",
"user_friends"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Interesting. Despite being very active, it turns out that Nick does not have any friends on Foursquare. This might definitely change in the future."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Retrieve the User's Profile Image"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [],
"source": [
"user_data"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<img src=\"https://igx.4sqi.net/img/user/300x300/484542633_mK2Yum7T_7Tn9fWpndidJsmw2Hof_6T5vJBKCHPLMK5OL-U5ZiJGj51iwBstcpDLYa3Zvhvis.jpg\"/>"
],
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 1. grab prefix of photo\n",
"# 2. grab suffix of photo\n",
"# 3. concatenate them using the image size \n",
"Image(url='https://igx.4sqi.net/img/user/300x300/484542633_mK2Yum7T_7Tn9fWpndidJsmw2Hof_6T5vJBKCHPLMK5OL-U5ZiJGj51iwBstcpDLYa3Zvhvis.jpg')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a id=\"item4\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## 4. Explore a location\n",
"> `https://api.foursquare.com/v2/venues/`**explore**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&ll=`**LATITUDE**`,`**LONGITUDE**`&v=`**VERSION**`&limit=`**LIMIT**"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### So, you just finished your gourmet dish at Ecco, and are just curious about the popular spots around the restaurant. In order to explore the area, let's start by getting the latitude and longitude values of Ecco Restaurant."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"button": false,
"collapsed": true,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"latitude = 40.715337\n",
"longitude = -74.008848"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Define URL"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"'https://api.foursquare.com/v2/venues/explore?client_id=QRSESDGRD2J0UGUIBAOB0J0ZTN2FCAQT12CWCIC10RXCB1QS&client_secret=WWB1FS3SR33MN3XW2VBZQ2GWPWELFP423ECYIZPRAKYDPRXS&ll=40.715337,-74.008848&v=20180604&radius=500&limit=30'"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"url = 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, radius, LIMIT)\n",
"url"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Send GET request and examine results"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"button": false,
"collapsed": true,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"import requests"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"'There are 30 around Ecco restaurant.'"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results = requests.get(url).json()\n",
"'There are {} around Ecco restaurant.'.format(len(results['response']['groups'][0]['items']))"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Get relevant part of JSON"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'reasons': {'count': 0,\n",
" 'items': [{'summary': 'This spot is popular',\n",
" 'type': 'general',\n",
" 'reasonName': 'globalInteractionReason'}]},\n",
" 'venue': {'id': '4af5d65ff964a52091fd21e3',\n",
" 'name': 'Korin',\n",
" 'location': {'address': '57 Warren St',\n",
" 'crossStreet': 'Church St',\n",
" 'lat': 40.71482437714839,\n",
" 'lng': -74.00940425461492,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 40.71482437714839,\n",
" 'lng': -74.00940425461492}],\n",
" 'distance': 73,\n",
" 'postalCode': '10007',\n",
" 'cc': 'US',\n",
" 'neighborhood': 'Tribeca',\n",
" 'city': 'New York',\n",
" 'state': 'NY',\n",
" 'country': 'United States',\n",
" 'formattedAddress': ['57 Warren St (Church St)',\n",
" 'New York, NY 10007',\n",
" 'United States']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1f8941735',\n",
" 'name': 'Furniture / Home Store',\n",
" 'pluralName': 'Furniture / Home Stores',\n",
" 'shortName': 'Furniture / Home',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/furniture_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'photos': {'count': 0, 'groups': []},\n",
" 'venuePage': {'id': '33104775'}},\n",
" 'referralId': 'e-0-4af5d65ff964a52091fd21e3-0'}"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"items = results['response']['groups'][0]['items']\n",
"items[0]"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Process JSON and convert it to a clean dataframe"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>categories</th>\n",
" <th>address</th>\n",
" <th>cc</th>\n",
" <th>city</th>\n",
" <th>country</th>\n",
" <th>crossStreet</th>\n",
" <th>distance</th>\n",
" <th>formattedAddress</th>\n",
" <th>labeledLatLngs</th>\n",
" <th>lat</th>\n",
" <th>lng</th>\n",
" <th>neighborhood</th>\n",
" <th>postalCode</th>\n",
" <th>state</th>\n",
" <th>id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Korin</td>\n",
" <td>Furniture / Home Store</td>\n",
" <td>57 Warren St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>Church St</td>\n",
" <td>73</td>\n",
" <td>[57 Warren St (Church St), New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.71482437714839, 'lng': -74.00940425461492}]</td>\n",
" <td>40.714824</td>\n",
" <td>-74.009404</td>\n",
" <td>Tribeca</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>4af5d65ff964a52091fd21e3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Juice Press</td>\n",
" <td>Vegetarian / Vegan Restaurant</td>\n",
" <td>83 Murray St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>btwn Greenwich St &amp; W Broadway</td>\n",
" <td>202</td>\n",
" <td>[83 Murray St (btwn Greenwich St &amp; W Broadway), New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.71478769908051, 'lng': -74.0111317502157}]</td>\n",
" <td>40.714788</td>\n",
" <td>-74.011132</td>\n",
" <td>NaN</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>54148bc6498ea7bb8c05b70a</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Takahachi Bakery</td>\n",
" <td>Bakery</td>\n",
" <td>25 Murray St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>at Church St</td>\n",
" <td>187</td>\n",
" <td>[25 Murray St (at Church St), New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.713652845301894, 'lng': -74.0088038953017}]</td>\n",
" <td>40.713653</td>\n",
" <td>-74.008804</td>\n",
" <td>NaN</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>4c154c9a77cea593c401d260</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Chambers Street Wines</td>\n",
" <td>Wine Shop</td>\n",
" <td>148 Chambers St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>btwn West Broadway &amp; Hudson St</td>\n",
" <td>88</td>\n",
" <td>[148 Chambers St (btwn West Broadway &amp; Hudson St), New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.715773063928374, 'lng': -74.00971823312332}]</td>\n",
" <td>40.715773</td>\n",
" <td>-74.009718</td>\n",
" <td>NaN</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>4adcf23cf964a520cc6221e3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Takahachi</td>\n",
" <td>Sushi Restaurant</td>\n",
" <td>145 Duane St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>btwn W Broadway &amp; Church St</td>\n",
" <td>146</td>\n",
" <td>[145 Duane St (btwn W Broadway &amp; Church St), New York, NY 10013, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.71652647412374, 'lng': -74.00810108466207}]</td>\n",
" <td>40.716526</td>\n",
" <td>-74.008101</td>\n",
" <td>NaN</td>\n",
" <td>10013</td>\n",
" <td>NY</td>\n",
" <td>4a8f2f39f964a520471420e3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Heyday</td>\n",
" <td>Spa</td>\n",
" <td>92 Reade St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>NaN</td>\n",
" <td>86</td>\n",
" <td>[92 Reade St, New York, NY 10013, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.715598486687675, 'lng': -74.00788227511288}]</td>\n",
" <td>40.715598</td>\n",
" <td>-74.007882</td>\n",
" <td>NaN</td>\n",
" <td>10013</td>\n",
" <td>NY</td>\n",
" <td>57ad129c498e05b086594d72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Philip Williams Posters</td>\n",
" <td>Antique Shop</td>\n",
" <td>122 Chambers St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>NaN</td>\n",
" <td>8</td>\n",
" <td>[122 Chambers St, New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.71528423132827, 'lng': -74.00878093952018}]</td>\n",
" <td>40.715284</td>\n",
" <td>-74.008781</td>\n",
" <td>NaN</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>4b747291f964a52042dd2de3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Equinox Tribeca</td>\n",
" <td>Gym</td>\n",
" <td>54 Murray Street</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>at W Broadway</td>\n",
" <td>154</td>\n",
" <td>[54 Murray Street (at W Broadway), New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.71409860726041, 'lng': -74.0096857179283}]</td>\n",
" <td>40.714099</td>\n",
" <td>-74.009686</td>\n",
" <td>NaN</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>4a6e331af964a52031d41fe3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Nish Nūsh</td>\n",
" <td>Falafel Restaurant</td>\n",
" <td>88 Reade St</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>at Church St</td>\n",
" <td>97</td>\n",
" <td>[88 Reade St (at Church St), New York, NY 10013, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.71553710116416, 'lng': -74.00772452925565}]</td>\n",
" <td>40.715537</td>\n",
" <td>-74.007725</td>\n",
" <td>NaN</td>\n",
" <td>10013</td>\n",
" <td>NY</td>\n",
" <td>50ba9119e4b071a4bae6dc10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Whole Foods Market</td>\n",
" <td>Grocery Store</td>\n",
" <td>270 Greenwich Street</td>\n",
" <td>US</td>\n",
" <td>New York</td>\n",
" <td>United States</td>\n",
" <td>at Warren St</td>\n",
" <td>214</td>\n",
" <td>[270 Greenwich Street (at Warren St), New York, NY 10007, United States]</td>\n",
" <td>[{'label': 'display', 'lat': 40.715579155420606, 'lng': -74.01136823958119}]</td>\n",
" <td>40.715579</td>\n",
" <td>-74.011368</td>\n",
" <td>Tribeca</td>\n",
" <td>10007</td>\n",
" <td>NY</td>\n",
" <td>49bc3b0af964a52020541fe3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name categories \\\n",
"0 Korin Furniture / Home Store \n",
"1 Juice Press Vegetarian / Vegan Restaurant \n",
"2 Takahachi Bakery Bakery \n",
"3 Chambers Street Wines Wine Shop \n",
"4 Takahachi Sushi Restaurant \n",
"5 Heyday Spa \n",
"6 Philip Williams Posters Antique Shop \n",
"7 Equinox Tribeca Gym \n",
"8 Nish Nūsh Falafel Restaurant \n",
"9 Whole Foods Market Grocery Store \n",
"\n",
" address cc city country \\\n",
"0 57 Warren St US New York United States \n",
"1 83 Murray St US New York United States \n",
"2 25 Murray St US New York United States \n",
"3 148 Chambers St US New York United States \n",
"4 145 Duane St US New York United States \n",
"5 92 Reade St US New York United States \n",
"6 122 Chambers St US New York United States \n",
"7 54 Murray Street US New York United States \n",
"8 88 Reade St US New York United States \n",
"9 270 Greenwich Street US New York United States \n",
"\n",
" crossStreet distance \\\n",
"0 Church St 73 \n",
"1 btwn Greenwich St & W Broadway 202 \n",
"2 at Church St 187 \n",
"3 btwn West Broadway & Hudson St 88 \n",
"4 btwn W Broadway & Church St 146 \n",
"5 NaN 86 \n",
"6 NaN 8 \n",
"7 at W Broadway 154 \n",
"8 at Church St 97 \n",
"9 at Warren St 214 \n",
"\n",
" formattedAddress \\\n",
"0 [57 Warren St (Church St), New York, NY 10007, United States] \n",
"1 [83 Murray St (btwn Greenwich St & W Broadway), New York, NY 10007, United States] \n",
"2 [25 Murray St (at Church St), New York, NY 10007, United States] \n",
"3 [148 Chambers St (btwn West Broadway & Hudson St), New York, NY 10007, United States] \n",
"4 [145 Duane St (btwn W Broadway & Church St), New York, NY 10013, United States] \n",
"5 [92 Reade St, New York, NY 10013, United States] \n",
"6 [122 Chambers St, New York, NY 10007, United States] \n",
"7 [54 Murray Street (at W Broadway), New York, NY 10007, United States] \n",
"8 [88 Reade St (at Church St), New York, NY 10013, United States] \n",
"9 [270 Greenwich Street (at Warren St), New York, NY 10007, United States] \n",
"\n",
" labeledLatLngs \\\n",
"0 [{'label': 'display', 'lat': 40.71482437714839, 'lng': -74.00940425461492}] \n",
"1 [{'label': 'display', 'lat': 40.71478769908051, 'lng': -74.0111317502157}] \n",
"2 [{'label': 'display', 'lat': 40.713652845301894, 'lng': -74.0088038953017}] \n",
"3 [{'label': 'display', 'lat': 40.715773063928374, 'lng': -74.00971823312332}] \n",
"4 [{'label': 'display', 'lat': 40.71652647412374, 'lng': -74.00810108466207}] \n",
"5 [{'label': 'display', 'lat': 40.715598486687675, 'lng': -74.00788227511288}] \n",
"6 [{'label': 'display', 'lat': 40.71528423132827, 'lng': -74.00878093952018}] \n",
"7 [{'label': 'display', 'lat': 40.71409860726041, 'lng': -74.0096857179283}] \n",
"8 [{'label': 'display', 'lat': 40.71553710116416, 'lng': -74.00772452925565}] \n",
"9 [{'label': 'display', 'lat': 40.715579155420606, 'lng': -74.01136823958119}] \n",
"\n",
" lat lng neighborhood postalCode state \\\n",
"0 40.714824 -74.009404 Tribeca 10007 NY \n",
"1 40.714788 -74.011132 NaN 10007 NY \n",
"2 40.713653 -74.008804 NaN 10007 NY \n",
"3 40.715773 -74.009718 NaN 10007 NY \n",
"4 40.716526 -74.008101 NaN 10013 NY \n",
"5 40.715598 -74.007882 NaN 10013 NY \n",
"6 40.715284 -74.008781 NaN 10007 NY \n",
"7 40.714099 -74.009686 NaN 10007 NY \n",
"8 40.715537 -74.007725 NaN 10013 NY \n",
"9 40.715579 -74.011368 Tribeca 10007 NY \n",
"\n",
" id \n",
"0 4af5d65ff964a52091fd21e3 \n",
"1 54148bc6498ea7bb8c05b70a \n",
"2 4c154c9a77cea593c401d260 \n",
"3 4adcf23cf964a520cc6221e3 \n",
"4 4a8f2f39f964a520471420e3 \n",
"5 57ad129c498e05b086594d72 \n",
"6 4b747291f964a52042dd2de3 \n",
"7 4a6e331af964a52031d41fe3 \n",
"8 50ba9119e4b071a4bae6dc10 \n",
"9 49bc3b0af964a52020541fe3 "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataframe = json_normalize(items) # flatten JSON\n",
"\n",
"# filter columns\n",
"filtered_columns = ['venue.name', 'venue.categories'] + [col for col in dataframe.columns if col.startswith('venue.location.')] + ['venue.id']\n",
"dataframe_filtered = dataframe.loc[:, filtered_columns]\n",
"\n",
"# filter the category for each row\n",
"dataframe_filtered['venue.categories'] = dataframe_filtered.apply(get_category_type, axis=1)\n",
"\n",
"# clean columns\n",
"dataframe_filtered.columns = [col.split('.')[-1] for col in dataframe_filtered.columns]\n",
"\n",
"dataframe_filtered.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's visualize these items on the map around our location"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_54a1202a9af847f6870a0c6085955e69 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_54a1202a9af847f6870a0c6085955e69" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_54a1202a9af847f6870a0c6085955e69 = L.map(
                                  'map_54a1202a9af847f6870a0c6085955e69',
                                  {center: [40.715337,-74.008848],
                                  zoom: 15,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_6c770d42c8374a8cb0ba3d0f546808c1 = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
        
    
            var circle_marker_16fc244947ac4bf09d9ff91b1694dd45 = L.circleMarker(
                [40.715337,-74.008848],
                {
  "bubblingMouseEvents": true,
  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "red",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 10,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_3afa2d6662054fecb5c2a9b8511bfae8 = L.popup({maxWidth: '300'});

            
                var html_19dad6025023486081c2b5c352725655 = $('<div id="html_19dad6025023486081c2b5c352725655" style="width: 100.0%; height: 100.0%;">Ecco</div>')[0];
                popup_3afa2d6662054fecb5c2a9b8511bfae8.setContent(html_19dad6025023486081c2b5c352725655);
            

            circle_marker_16fc244947ac4bf09d9ff91b1694dd45.bindPopup(popup_3afa2d6662054fecb5c2a9b8511bfae8);

            
        
    
            var circle_marker_1c9b6c102b404e7f9bc42de10f14784e = L.circleMarker(
                [40.71482437714839,-74.00940425461492],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_6ff504e572e542e38e7f98769f09acee = L.popup({maxWidth: '300'});

            
                var html_a942a293c6b04f20bc6fa3419d91abc1 = $('<div id="html_a942a293c6b04f20bc6fa3419d91abc1" style="width: 100.0%; height: 100.0%;">Furniture / Home Store</div>')[0];
                popup_6ff504e572e542e38e7f98769f09acee.setContent(html_a942a293c6b04f20bc6fa3419d91abc1);
            

            circle_marker_1c9b6c102b404e7f9bc42de10f14784e.bindPopup(popup_6ff504e572e542e38e7f98769f09acee);

            
        
    
            var circle_marker_3bf7c2ffd2bf4081ae5e087280a2e6be = L.circleMarker(
                [40.71478769908051,-74.0111317502157],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_4de54ecc9e1c4cd3b0023ef596345e49 = L.popup({maxWidth: '300'});

            
                var html_2c392c7914bb44f39f85c7b2c84b5c19 = $('<div id="html_2c392c7914bb44f39f85c7b2c84b5c19" style="width: 100.0%; height: 100.0%;">Vegetarian / Vegan Restaurant</div>')[0];
                popup_4de54ecc9e1c4cd3b0023ef596345e49.setContent(html_2c392c7914bb44f39f85c7b2c84b5c19);
            

            circle_marker_3bf7c2ffd2bf4081ae5e087280a2e6be.bindPopup(popup_4de54ecc9e1c4cd3b0023ef596345e49);

            
        
    
            var circle_marker_c19fdae6d9b2419793457a933dc3c146 = L.circleMarker(
                [40.713652845301894,-74.0088038953017],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_38b19f2f913048538ebc7e9e3b4d38ca = L.popup({maxWidth: '300'});

            
                var html_ff20136e1099474b89759b2868d9a9eb = $('<div id="html_ff20136e1099474b89759b2868d9a9eb" style="width: 100.0%; height: 100.0%;">Bakery</div>')[0];
                popup_38b19f2f913048538ebc7e9e3b4d38ca.setContent(html_ff20136e1099474b89759b2868d9a9eb);
            

            circle_marker_c19fdae6d9b2419793457a933dc3c146.bindPopup(popup_38b19f2f913048538ebc7e9e3b4d38ca);

            
        
    
            var circle_marker_5a5af2efec42429b9b5891a8ec8634fe = L.circleMarker(
                [40.715773063928374,-74.00971823312332],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_7d2e6f5f9382452c8832d6739001816c = L.popup({maxWidth: '300'});

            
                var html_74c214d2cf094fb3bef1eec344dce6af = $('<div id="html_74c214d2cf094fb3bef1eec344dce6af" style="width: 100.0%; height: 100.0%;">Wine Shop</div>')[0];
                popup_7d2e6f5f9382452c8832d6739001816c.setContent(html_74c214d2cf094fb3bef1eec344dce6af);
            

            circle_marker_5a5af2efec42429b9b5891a8ec8634fe.bindPopup(popup_7d2e6f5f9382452c8832d6739001816c);

            
        
    
            var circle_marker_af590e743c75436db53fa2d5eb1fca13 = L.circleMarker(
                [40.71652647412374,-74.00810108466207],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_73e7d8d407474742b64f53bf603f8615 = L.popup({maxWidth: '300'});

            
                var html_cecbbf89733443e38afc927a27333e62 = $('<div id="html_cecbbf89733443e38afc927a27333e62" style="width: 100.0%; height: 100.0%;">Sushi Restaurant</div>')[0];
                popup_73e7d8d407474742b64f53bf603f8615.setContent(html_cecbbf89733443e38afc927a27333e62);
            

            circle_marker_af590e743c75436db53fa2d5eb1fca13.bindPopup(popup_73e7d8d407474742b64f53bf603f8615);

            
        
    
            var circle_marker_6b292655fb224c83b269d30cc25480cf = L.circleMarker(
                [40.715598486687675,-74.00788227511288],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_fac2b60944d745cea270e2aa95224ad7 = L.popup({maxWidth: '300'});

            
                var html_38783160d15c4277926ab903bb9e6364 = $('<div id="html_38783160d15c4277926ab903bb9e6364" style="width: 100.0%; height: 100.0%;">Spa</div>')[0];
                popup_fac2b60944d745cea270e2aa95224ad7.setContent(html_38783160d15c4277926ab903bb9e6364);
            

            circle_marker_6b292655fb224c83b269d30cc25480cf.bindPopup(popup_fac2b60944d745cea270e2aa95224ad7);

            
        
    
            var circle_marker_d4409e9b6f064654ab993c4e9597b049 = L.circleMarker(
                [40.71528423132827,-74.00878093952018],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_abe1154a0c574a88ad7f7f08d52c12b0 = L.popup({maxWidth: '300'});

            
                var html_ff45be8e462c468d98bda7e1e22e3e4f = $('<div id="html_ff45be8e462c468d98bda7e1e22e3e4f" style="width: 100.0%; height: 100.0%;">Antique Shop</div>')[0];
                popup_abe1154a0c574a88ad7f7f08d52c12b0.setContent(html_ff45be8e462c468d98bda7e1e22e3e4f);
            

            circle_marker_d4409e9b6f064654ab993c4e9597b049.bindPopup(popup_abe1154a0c574a88ad7f7f08d52c12b0);

            
        
    
            var circle_marker_6ec2f4fed76d4ac6bcc021c02e5cadd0 = L.circleMarker(
                [40.71409860726041,-74.0096857179283],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_2fd4eec0a24e42248cd588a7d3245cac = L.popup({maxWidth: '300'});

            
                var html_f1f51c8fdf8e48878fd61b6ff22dac98 = $('<div id="html_f1f51c8fdf8e48878fd61b6ff22dac98" style="width: 100.0%; height: 100.0%;">Gym</div>')[0];
                popup_2fd4eec0a24e42248cd588a7d3245cac.setContent(html_f1f51c8fdf8e48878fd61b6ff22dac98);
            

            circle_marker_6ec2f4fed76d4ac6bcc021c02e5cadd0.bindPopup(popup_2fd4eec0a24e42248cd588a7d3245cac);

            
        
    
            var circle_marker_03c0393a5bee4d60b1fd5dd82efa5f84 = L.circleMarker(
                [40.71553710116416,-74.00772452925565],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_bbd49fa03d594b81b78ff6334c28c222 = L.popup({maxWidth: '300'});

            
                var html_dc0ba19f7fa14a0ab116f5bc0286da3c = $('<div id="html_dc0ba19f7fa14a0ab116f5bc0286da3c" style="width: 100.0%; height: 100.0%;">Falafel Restaurant</div>')[0];
                popup_bbd49fa03d594b81b78ff6334c28c222.setContent(html_dc0ba19f7fa14a0ab116f5bc0286da3c);
            

            circle_marker_03c0393a5bee4d60b1fd5dd82efa5f84.bindPopup(popup_bbd49fa03d594b81b78ff6334c28c222);

            
        
    
            var circle_marker_267d3bb7770244fa8ab78c1e377b784b = L.circleMarker(
                [40.715579155420606,-74.01136823958119],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_777516c520c0498ba8507b22b52812e6 = L.popup({maxWidth: '300'});

            
                var html_223e5d8e313e45cf87194a842b83e160 = $('<div id="html_223e5d8e313e45cf87194a842b83e160" style="width: 100.0%; height: 100.0%;">Grocery Store</div>')[0];
                popup_777516c520c0498ba8507b22b52812e6.setContent(html_223e5d8e313e45cf87194a842b83e160);
            

            circle_marker_267d3bb7770244fa8ab78c1e377b784b.bindPopup(popup_777516c520c0498ba8507b22b52812e6);

            
        
    
            var circle_marker_68ca286150fd4717824fe1c6791a22ef = L.circleMarker(
                [40.71517693966315,-74.01022747778285],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_4d6e7f9109a6487bb4bfc0c4291e7667 = L.popup({maxWidth: '300'});

            
                var html_bfb0b761cf584ad5bf45e6d9114380e7 = $('<div id="html_bfb0b761cf584ad5bf45e6d9114380e7" style="width: 100.0%; height: 100.0%;">Café</div>')[0];
                popup_4d6e7f9109a6487bb4bfc0c4291e7667.setContent(html_bfb0b761cf584ad5bf45e6d9114380e7);
            

            circle_marker_68ca286150fd4717824fe1c6791a22ef.bindPopup(popup_4d6e7f9109a6487bb4bfc0c4291e7667);

            
        
    
            var circle_marker_1e798730bb4540318af23d98eba62572 = L.circleMarker(
                [40.715486585249735,-74.00913313510836],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_e220bfa42e814fa3ba5b27599ee03bb8 = L.popup({maxWidth: '300'});

            
                var html_fc1c40d9019647fa886916f619c9c585 = $('<div id="html_fc1c40d9019647fa886916f619c9c585" style="width: 100.0%; height: 100.0%;">American Restaurant</div>')[0];
                popup_e220bfa42e814fa3ba5b27599ee03bb8.setContent(html_fc1c40d9019647fa886916f619c9c585);
            

            circle_marker_1e798730bb4540318af23d98eba62572.bindPopup(popup_e220bfa42e814fa3ba5b27599ee03bb8);

            
        
    
            var circle_marker_ed03f9151b044d678f0ff8a0487dfa56 = L.circleMarker(
                [40.7156286200256,-74.0079922583853],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_5a8306564e834b3c8f08f65d0a35624c = L.popup({maxWidth: '300'});

            
                var html_7663259c2cc046ec9b10733254d05119 = $('<div id="html_7663259c2cc046ec9b10733254d05119" style="width: 100.0%; height: 100.0%;">Gym / Fitness Center</div>')[0];
                popup_5a8306564e834b3c8f08f65d0a35624c.setContent(html_7663259c2cc046ec9b10733254d05119);
            

            circle_marker_ed03f9151b044d678f0ff8a0487dfa56.bindPopup(popup_5a8306564e834b3c8f08f65d0a35624c);

            
        
    
            var circle_marker_911c7388241d4dfcb71eba55eb1146ed = L.circleMarker(
                [40.71637984317071,-74.00962933453428],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_12a073439488450ab3906afa7989134e = L.popup({maxWidth: '300'});

            
                var html_d6ff44e3217c4764afd052c9ff6f3a31 = $('<div id="html_d6ff44e3217c4764afd052c9ff6f3a31" style="width: 100.0%; height: 100.0%;">New American Restaurant</div>')[0];
                popup_12a073439488450ab3906afa7989134e.setContent(html_d6ff44e3217c4764afd052c9ff6f3a31);
            

            circle_marker_911c7388241d4dfcb71eba55eb1146ed.bindPopup(popup_12a073439488450ab3906afa7989134e);

            
        
    
            var circle_marker_40057c4b2d554b67a94c4991278064b0 = L.circleMarker(
                [40.71679304855808,-74.00821998878457],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_3ffe553d52e9491ba345199cae853b08 = L.popup({maxWidth: '300'});

            
                var html_9216b01b94224eb28b919c77e620ac7f = $('<div id="html_9216b01b94224eb28b919c77e620ac7f" style="width: 100.0%; height: 100.0%;">American Restaurant</div>')[0];
                popup_3ffe553d52e9491ba345199cae853b08.setContent(html_9216b01b94224eb28b919c77e620ac7f);
            

            circle_marker_40057c4b2d554b67a94c4991278064b0.bindPopup(popup_3ffe553d52e9491ba345199cae853b08);

            
        
    
            var circle_marker_a5831fd1214e4b46b129e2c47079a5a1 = L.circleMarker(
                [40.71674084163369,-74.0086664438893],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_aa2a0c942c514899b6f669a25b3e111f = L.popup({maxWidth: '300'});

            
                var html_a60c1bd35e1e41cbb2d2fa2604acbe39 = $('<div id="html_a60c1bd35e1e41cbb2d2fa2604acbe39" style="width: 100.0%; height: 100.0%;">Cocktail Bar</div>')[0];
                popup_aa2a0c942c514899b6f669a25b3e111f.setContent(html_a60c1bd35e1e41cbb2d2fa2604acbe39);
            

            circle_marker_a5831fd1214e4b46b129e2c47079a5a1.bindPopup(popup_aa2a0c942c514899b6f669a25b3e111f);

            
        
    
            var circle_marker_b76de41b41084159985ebab2bcc48763 = L.circleMarker(
                [40.71490950153982,-74.00948027011903],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_28e0bceeb81846cd9bcc7f4611d56ad9 = L.popup({maxWidth: '300'});

            
                var html_7dd86fd629db4433bcbc618adc43d3e7 = $('<div id="html_7dd86fd629db4433bcbc618adc43d3e7" style="width: 100.0%; height: 100.0%;">Bookstore</div>')[0];
                popup_28e0bceeb81846cd9bcc7f4611d56ad9.setContent(html_7dd86fd629db4433bcbc618adc43d3e7);
            

            circle_marker_b76de41b41084159985ebab2bcc48763.bindPopup(popup_28e0bceeb81846cd9bcc7f4611d56ad9);

            
        
    
            var circle_marker_3e3777ed497e46baa5ee21ad4e9b48ec = L.circleMarker(
                [40.71435,-74.0098],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_156d189673464ea4940bc17fe2ea5be5 = L.popup({maxWidth: '300'});

            
                var html_7d9af85f873148f69cd241b939107501 = $('<div id="html_7d9af85f873148f69cd241b939107501" style="width: 100.0%; height: 100.0%;">Strip Club</div>')[0];
                popup_156d189673464ea4940bc17fe2ea5be5.setContent(html_7d9af85f873148f69cd241b939107501);
            

            circle_marker_3e3777ed497e46baa5ee21ad4e9b48ec.bindPopup(popup_156d189673464ea4940bc17fe2ea5be5);

            
        
    
            var circle_marker_8033b099062e47a48613a4ebdec46aa1 = L.circleMarker(
                [40.714342290158086,-74.00809356840004],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_32037e9f9c214f38a0c12c0eb4cdfe4b = L.popup({maxWidth: '300'});

            
                var html_da22c5465cfe44a29f1728553eed4f1f = $('<div id="html_da22c5465cfe44a29f1728553eed4f1f" style="width: 100.0%; height: 100.0%;">Yoga Studio</div>')[0];
                popup_32037e9f9c214f38a0c12c0eb4cdfe4b.setContent(html_da22c5465cfe44a29f1728553eed4f1f);
            

            circle_marker_8033b099062e47a48613a4ebdec46aa1.bindPopup(popup_32037e9f9c214f38a0c12c0eb4cdfe4b);

            
        
    
            var circle_marker_c2ad19a909614cd6815c30d50d6ffce6 = L.circleMarker(
                [40.71594125566931,-74.00872053564494],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_1de167faf520476c8866cb5d411dfa64 = L.popup({maxWidth: '300'});

            
                var html_cdcd26df00a54863b441ab52f69b22ed = $('<div id="html_cdcd26df00a54863b441ab52f69b22ed" style="width: 100.0%; height: 100.0%;">Nail Salon</div>')[0];
                popup_1de167faf520476c8866cb5d411dfa64.setContent(html_cdcd26df00a54863b441ab52f69b22ed);
            

            circle_marker_c2ad19a909614cd6815c30d50d6ffce6.bindPopup(popup_1de167faf520476c8866cb5d411dfa64);

            
        
    
            var circle_marker_8bc5734f159d4210ad9222f55d0bb426 = L.circleMarker(
                [40.716752816876635,-74.00858376295221],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_9277be32d8684293a09fcacc521625c0 = L.popup({maxWidth: '300'});

            
                var html_cf14caa33d2f4cbeba390bbcbd3d80c9 = $('<div id="html_cf14caa33d2f4cbeba390bbcbd3d80c9" style="width: 100.0%; height: 100.0%;">Asian Restaurant</div>')[0];
                popup_9277be32d8684293a09fcacc521625c0.setContent(html_cf14caa33d2f4cbeba390bbcbd3d80c9);
            

            circle_marker_8bc5734f159d4210ad9222f55d0bb426.bindPopup(popup_9277be32d8684293a09fcacc521625c0);

            
        
    
            var circle_marker_e23d548a5d5b48baa2898032358e4ff4 = L.circleMarker(
                [40.71701011409906,-74.00804244562225],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_b53fb0f7954a4502862af781d40e8956 = L.popup({maxWidth: '300'});

            
                var html_7f8c05e9ecd04e83bb0ac30705271446 = $('<div id="html_7f8c05e9ecd04e83bb0ac30705271446" style="width: 100.0%; height: 100.0%;">French Restaurant</div>')[0];
                popup_b53fb0f7954a4502862af781d40e8956.setContent(html_7f8c05e9ecd04e83bb0ac30705271446);
            

            circle_marker_e23d548a5d5b48baa2898032358e4ff4.bindPopup(popup_b53fb0f7954a4502862af781d40e8956);

            
        
    
            var circle_marker_8cc381dc50554d3e80725ebb2cbb0380 = L.circleMarker(
                [40.71668439227822,-74.00834342869238],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_0da24b5fce3743e0b320d129c9911772 = L.popup({maxWidth: '300'});

            
                var html_feb6a508b666491e9d00650fc8ec0f5e = $('<div id="html_feb6a508b666491e9d00650fc8ec0f5e" style="width: 100.0%; height: 100.0%;">Sushi Restaurant</div>')[0];
                popup_0da24b5fce3743e0b320d129c9911772.setContent(html_feb6a508b666491e9d00650fc8ec0f5e);
            

            circle_marker_8cc381dc50554d3e80725ebb2cbb0380.bindPopup(popup_0da24b5fce3743e0b320d129c9911772);

            
        
    
            var circle_marker_e37b2deb81a5476e98f4bc302d074928 = L.circleMarker(
                [40.71550092965859,-74.00897677392395],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_3e80cbe9238d4ce4b74cf9d527257f58 = L.popup({maxWidth: '300'});

            
                var html_e1181a041d3343dd8a0326cf57436eac = $('<div id="html_e1181a041d3343dd8a0326cf57436eac" style="width: 100.0%; height: 100.0%;">Cocktail Bar</div>')[0];
                popup_3e80cbe9238d4ce4b74cf9d527257f58.setContent(html_e1181a041d3343dd8a0326cf57436eac);
            

            circle_marker_e37b2deb81a5476e98f4bc302d074928.bindPopup(popup_3e80cbe9238d4ce4b74cf9d527257f58);

            
        
    
            var circle_marker_4e40e2654c9043ad8ad5a886675e97ac = L.circleMarker(
                [40.715885126086015,-74.00871361902418],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_dd4b7c3d5c834c62ba244241cd990fd0 = L.popup({maxWidth: '300'});

            
                var html_c4ba9dc663494d6b94309527dfc83317 = $('<div id="html_c4ba9dc663494d6b94309527dfc83317" style="width: 100.0%; height: 100.0%;">Cocktail Bar</div>')[0];
                popup_dd4b7c3d5c834c62ba244241cd990fd0.setContent(html_c4ba9dc663494d6b94309527dfc83317);
            

            circle_marker_4e40e2654c9043ad8ad5a886675e97ac.bindPopup(popup_dd4b7c3d5c834c62ba244241cd990fd0);

            
        
    
            var circle_marker_abef01fd41ff4e728b557915f300dcbe = L.circleMarker(
                [40.71476,-74.00928],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_6107dfbacd82463faf75fe543be85428 = L.popup({maxWidth: '300'});

            
                var html_dd858afde6d84af486408273b9d11e58 = $('<div id="html_dd858afde6d84af486408273b9d11e58" style="width: 100.0%; height: 100.0%;">Baby Store</div>')[0];
                popup_6107dfbacd82463faf75fe543be85428.setContent(html_dd858afde6d84af486408273b9d11e58);
            

            circle_marker_abef01fd41ff4e728b557915f300dcbe.bindPopup(popup_6107dfbacd82463faf75fe543be85428);

            
        
    
            var circle_marker_68f21b40b6c74420bc3edbdfe9c96388 = L.circleMarker(
                [40.71558,-74.00985],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_2aa28728ad01439088a3cdfeff4673ae = L.popup({maxWidth: '300'});

            
                var html_128d16c7f554464583c72094190dce74 = $('<div id="html_128d16c7f554464583c72094190dce74" style="width: 100.0%; height: 100.0%;">Bagel Shop</div>')[0];
                popup_2aa28728ad01439088a3cdfeff4673ae.setContent(html_128d16c7f554464583c72094190dce74);
            

            circle_marker_68f21b40b6c74420bc3edbdfe9c96388.bindPopup(popup_2aa28728ad01439088a3cdfeff4673ae);

            
        
    
            var circle_marker_a3a98d7936d5447ab5caf432061570a7 = L.circleMarker(
                [40.714754151461236,-74.0075806002039],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_3360da3648b4452c8a8c3edf55d5d34c = L.popup({maxWidth: '300'});

            
                var html_41e7350605e441798d61f020811fe106 = $('<div id="html_41e7350605e441798d61f020811fe106" style="width: 100.0%; height: 100.0%;">French Restaurant</div>')[0];
                popup_3360da3648b4452c8a8c3edf55d5d34c.setContent(html_41e7350605e441798d61f020811fe106);
            

            circle_marker_a3a98d7936d5447ab5caf432061570a7.bindPopup(popup_3360da3648b4452c8a8c3edf55d5d34c);

            
        
    
            var circle_marker_16e5dd64ab5e4c74b66146bb67681c00 = L.circleMarker(
                [40.71496319791811,-74.00983873835128],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_4ceb4ae668cf4b4082021fdf139d6992 = L.popup({maxWidth: '300'});

            
                var html_d1af9d85a2864eabb9aeb14d18e3492c = $('<div id="html_d1af9d85a2864eabb9aeb14d18e3492c" style="width: 100.0%; height: 100.0%;">Kids Store</div>')[0];
                popup_4ceb4ae668cf4b4082021fdf139d6992.setContent(html_d1af9d85a2864eabb9aeb14d18e3492c);
            

            circle_marker_16e5dd64ab5e4c74b66146bb67681c00.bindPopup(popup_4ceb4ae668cf4b4082021fdf139d6992);

            
        
    
            var circle_marker_325232a26ddb47a0a22d9137c33720e8 = L.circleMarker(
                [40.71480295894467,-74.00765642063459],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "blue",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_54a1202a9af847f6870a0c6085955e69);
            
    
            var popup_f1eccd8a49c441b2af5adfbc55cb7db7 = L.popup({maxWidth: '300'});

            
                var html_aed232fb76584f61a0e1723df8be3f3a = $('<div id="html_aed232fb76584f61a0e1723df8be3f3a" style="width: 100.0%; height: 100.0%;">Cuban Restaurant</div>')[0];
                popup_f1eccd8a49c441b2af5adfbc55cb7db7.setContent(html_aed232fb76584f61a0e1723df8be3f3a);
            

            circle_marker_325232a26ddb47a0a22d9137c33720e8.bindPopup(popup_f1eccd8a49c441b2af5adfbc55cb7db7);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f708439c0b8>"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"venues_map = folium.Map(location=[latitude, longitude], zoom_start=15) # generate map centred around Ecco\n",
"\n",
"\n",
"# add Ecco as a red circle mark\n",
"folium.features.CircleMarker(\n",
" [latitude, longitude],\n",
" radius=10,\n",
" popup='Ecco',\n",
" fill=True,\n",
" color='red',\n",
" fill_color='red',\n",
" fill_opacity=0.6\n",
" ).add_to(venues_map)\n",
"\n",
"\n",
"# add popular spots to the map as blue circle markers\n",
"for lat, lng, label in zip(dataframe_filtered.lat, dataframe_filtered.lng, dataframe_filtered.categories):\n",
" folium.features.CircleMarker(\n",
" [lat, lng],\n",
" radius=5,\n",
" popup=label,\n",
" fill=True,\n",
" color='blue',\n",
" fill_color='blue',\n",
" fill_opacity=0.6\n",
" ).add_to(venues_map)\n",
"\n",
"# display map\n",
"venues_map"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a id=\"item5\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## 5. Explore Trending Venues\n",
"> `https://api.foursquare.com/v2/venues/`**trending**`?client_id=`**CLIENT_ID**`&client_secret=`**CLIENT_SECRET**`&ll=`**LATITUDE**`,`**LONGITUDE**`&v=`**VERSION**"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Now, instead of simply exploring the area around Ecco, you are interested in knowing the venues that are trending at the time you are done with your lunch, meaning the places with the highest foot traffic. So let's do that and get the trending venues around Ecco."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'meta': {'code': 200, 'requestId': '5d0e48acad1789002cb3d4a6'},\n",
" 'response': {'venues': []}}"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# define URL\n",
"url = 'https://api.foursquare.com/v2/venues/trending?client_id={}&client_secret={}&ll={},{}&v={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION)\n",
"\n",
"# send GET request and get trending venues\n",
"results = requests.get(url).json()\n",
"results"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Check if any venues are trending at this time"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"button": false,
"collapsed": true,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"if len(results['response']['venues']) == 0:\n",
" trending_venues_df = 'No trending venues are available at the moment!'\n",
" \n",
"else:\n",
" trending_venues = results['response']['venues']\n",
" trending_venues_df = json_normalize(trending_venues)\n",
"\n",
" # filter columns\n",
" columns_filtered = ['name', 'categories'] + ['location.distance', 'location.city', 'location.postalCode', 'location.state', 'location.country', 'location.lat', 'location.lng']\n",
" trending_venues_df = trending_venues_df.loc[:, columns_filtered]\n",
"\n",
" # filter the category for each row\n",
" trending_venues_df['categories'] = trending_venues_df.apply(get_category_type, axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"'No trending venues are available at the moment!'"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# display trending venues\n",
"trending_venues_df"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Now, depending on when you run the above code, you might get different venues since the venues with the highest foot traffic are fetched live. "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Visualize trending venues"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"if len(results['response']['venues']) == 0:\n",
" venues_map = 'Cannot generate visual as no trending venues are available at the moment!'\n",
"\n",
"else:\n",
" venues_map = folium.Map(location=[latitude, longitude], zoom_start=15) # generate map centred around Ecco\n",
"\n",
"\n",
" # add Ecco as a red circle mark\n",
" folium.features.CircleMarker(\n",
" [latitude, longitude],\n",
" radius=10,\n",
" popup='Ecco',\n",
" fill=True,\n",
" color='red',\n",
" fill_color='red',\n",
" fill_opacity=0.6\n",
" ).add_to(venues_map)\n",
"\n",
"\n",
" # add the trending venues as blue circle markers\n",
" for lat, lng, label in zip(trending_venues_df['location.lat'], trending_venues_df['location.lng'], trending_venues_df['name']):\n",
" folium.features.CircleMarker(\n",
" [lat, lng],\n",
" radius=5,\n",
" poup=label,\n",
" fill=True,\n",
" color='blue',\n",
" fill_color='blue',\n",
" fill_opacity=0.6\n",
" ).add_to(venues_map)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"'Cannot generate visual as no trending venues are available at the moment!'"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# display map\n",
"venues_map"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a id=\"item6\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Thank you for completing this lab!\n",
"\n",
"This notebook was created by [Alex Aklson](https://www.linkedin.com/in/aklson/). I hope you found this lab interesting and educational. Feel free to contact me if you have any questions!"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"This notebook is part of a course on **Coursera** called *Applied Data Science Capstone*. If you accessed this notebook outside the course, you can take this course online by clicking [here](http://cocl.us/DP0701EN_Coursera_Week2_LAB1)."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<hr>\n",
"Copyright &copy; 2018 [Cognitive Class](https://cognitiveclass.ai/?utm_source=bducopyrightlink&utm_medium=dswb&utm_campaign=bdu). This notebook and its source code are released under the terms of the [MIT License](https://bigdatauniversity.com/mit-license/)."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
},
"widgets": {
"state": {},
"version": "1.1.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment