Generate ADS bibtex entries for papers with given dois

doi2ads

#!/usr/bin/env python3

import requests
import json
import tempfile
import sys, os

# generate an api token under https://ui.adsabs.harvard.edu/#user/settings/token 
token = ""

# Search for papers with the given dois
r = requests.get("https://api.adsabs.harvard.edu/v1/search/query",\
                headers={'Authorization': 'Bearer ' + token},
                params={'q':f'doi:{" OR ".join(sys.argv[1:])}', "fl":"author, year, bibcode"}
                )
docs = r.json()['response']['docs']


# List all found papers
print('Found the following papers')
for doc in docs:
  print(f" - {doc['author'][0]} ({doc['year']}) -> {doc['bibcode']}")
print()

# Generate bibtex entries for the papers
bibcodes = [doc['bibcode'] for doc in docs]
payload = {"bibcode":bibcodes}
r = requests.post("https://api.adsabs.harvard.edu/v1/export/bibtex", \
                headers={"Authorization": "Bearer " + token, "Content-type": "application/json"}, \
                data=json.dumps(payload))
bibtex = r.json()['export']
print(bibtex)

# Write the generated bibtex to a file to avoid char escape errors
# and copy it to the clipboard
with tempfile.NamedTemporaryFile(delete=False) as temp:
  temp.write(bytes(bibtex,"utf-8"))
  temp.close()

  # This line might differ for other OS
  os.system(f"xclip -sel clip -i {temp.name}")