LinkedIn Job Bot

gistfile1.txt

/**
 * LinkedIn Job Application Bot for Cloud Computing Roles
 * Focus: Nashua, NH and 100-mile radius
 * Targets: Entry-level cloud jobs and internships
 */

const LinkedInJobBot = {
  config: {
    // Timing controls (in milliseconds)
    scrollDelay: 2000,
    actionDelay: 3000,
    nextPageDelay: 5000,
    
    // Application limits
    maxApplications: 30, // Safety limit
    applicationsSent: 0,
    
    // Job search parameters
    jobTitles: [
      "Cloud Engineer", 
      "AWS Engineer",
      "Azure Administrator",
      "Cloud Support",
      "DevOps Engineer",
      "Cloud Intern"
    ],
    experienceLevel: "1", // 1=Entry level, 2=Associate, etc.
    radius: "100", // miles
    location: "Nashua, New Hampshire, United States",
    
    // Personalization
    addNote: true,
    note: `I'm a recent Computer Science graduate with cloud certifications excited to apply for this {{jobTitle}} position. My skills in {{skills}} align well with your requirements.`,
    
    // Skills to highlight (will be randomly selected for variation)
    skills: [
      "AWS services",
      "Azure fundamentals",
      "Terraform",
      "Docker",
      "Kubernetes",
      "CI/CD pipelines",
      "Cloud security"
    ]
  },

  // Initialize the bot
  init: function() {
    console.log("Starting LinkedIn Job Application Bot for Cloud Roles...");
    this.navigateToJobsPage();
  },

  // Navigate to LinkedIn jobs search with our parameters
  navigateToJobsPage: function() {
    const titleParam = this.config.jobTitles.map(t => encodeURIComponent(t)).join("%20OR%20");
    const url = `https://www.linkedin.com/jobs/search/?distance=${this.config.radius}&f_E=${this.config.experienceLevel}&geoId=102571732&keywords=${titleParam}&location=${encodeURIComponent(this.config.location)}`;
    
    console.log(`Navigating to: ${url}`);
    window.location.href = url;
    
    // Start the process after page loads
    setTimeout(() => this.preparePage(), 5000);
  },

  // Prepare the page by scrolling and loading all jobs
  preparePage: function() {
    console.log("Preparing page...");
    this.scrollToBottom();
  },

  scrollToBottom: function() {
    window.scrollTo(0, document.body.scrollHeight);
    console.log("Scrolled to bottom, waiting for jobs to load...");
    
    setTimeout(() => {
      if (this.hasMoreJobs()) {
        this.scrollToBottom();
      } else {
        this.processJobs();
      }
    }, this.config.scrollDelay);
  },

  // Check if more jobs are loading
  hasMoreJobs: function() {
    const loadingIndicator = document.querySelector('.jobs-search-two-pane__loading-indicator');
    return loadingIndicator && loadingIndicator.style.display !== 'none';
  },

  // Main function to process and apply to jobs
  processJobs: function() {
    const jobListings = document.querySelectorAll('.jobs-search-results__list-item');
    console.log(`Found ${jobListings.length} cloud-related jobs`);
    
    if (jobListings.length === 0) {
      console.log("No jobs found matching criteria");
      return;
    }
    
    // Filter for Easy Apply jobs first
    const easyApplyJobs = Array.from(jobListings).filter(job => {
      return job.querySelector('.job-card-container__apply-method')?.textContent.includes('Easy Apply');
    });
    
    console.log(`Found ${easyApplyJobs.length} Easy Apply cloud jobs`);
    
    if (easyApplyJobs.length > 0) {
      this.applyToJobs(easyApplyJobs);
    } else {
      console.log("No Easy Apply jobs found. Consider manual applications.");
      this.tryNextPage();
    }
  },

  // Apply to a list of jobs
  applyToJobs: function(jobs) {
    if (this.config.applicationsSent >= this.config.maxApplications) {
      console.log(`Reached maximum application limit of ${this.config.maxApplications}`);
      return;
    }
    
    const job = jobs[0];
    const jobTitle = job.querySelector('.job-card-list__title')?.textContent.trim() || 'cloud position';
    const company = job.querySelector('.job-card-container__primary-description')?.textContent.trim() || '';
    
    console.log(`Applying to: ${jobTitle} at ${company}`);
    
    job.scrollIntoView();
    job.click();
    
    setTimeout(() => {
      this.handleEasyApply(jobTitle);
      // Remove this job from our list
      jobs.shift();
      
      // Continue with next job after delay
      if (jobs.length > 0 && this.config.applicationsSent < this.config.maxApplications) {
        setTimeout(() => this.applyToJobs(jobs), this.config.actionDelay * 2);
      } else {
        this.tryNextPage();
      }
    }, this.config.actionDelay);
  },

  // Handle the Easy Apply process
  handleEasyApply: function(jobTitle) {
    const easyApplyButton = document.querySelector('.jobs-apply-button');
    if (!easyApplyButton) {
      console.log("Easy Apply button not found");
      return;
    }
    
    easyApplyButton.click();
    
    setTimeout(() => {
      this.completeApplicationForms(jobTitle);
    }, this.config.actionDelay);
  },

  // Complete the application forms
  completeApplicationForms: function(jobTitle) {
    const forms = document.querySelectorAll('.jobs-easy-apply-form-section__grouping');
    if (forms.length === 0) {
      console.log("No application forms found");
      this.closeApplication();
      return;
    }
    
    console.log(`Completing ${forms.length} application sections...`);
    
    // Randomly select 2-3 skills to mention
    const shuffledSkills = [...this.config.skills].sort(() => 0.5 - Math.random());
    const selectedSkills = shuffledSkills.slice(0, 2 + Math.floor(Math.random() * 2));
    
    // Personalize the note
    const personalizedNote = this.config.note
      .replace('{{jobTitle}}', jobTitle)
      .replace('{{skills}}', selectedSkills.join(', '));
    
    // Find text areas and fill them
    const textAreas = document.querySelectorAll('textarea');
    textAreas.forEach(area => {
      if (area.placeholder.includes('message') || area.placeholder.includes('note')) {
        area.value = personalizedNote;
        area.dispatchEvent(new Event('input', { bubbles: true }));
      }
    });
    
    // Handle follow-up questions
    const questions = document.querySelectorAll('.jobs-easy-apply-form-element');
    questions.forEach(q => {
      const questionText = q.textContent.toLowerCase();
      
      // Sample question handling - would need to be expanded
      if (questionText.includes('years of experience')) {
        const options = q.querySelectorAll('input[type="radio"]');
        if (options.length >= 1) options[0].click(); // Select lowest experience
      }
      else if (questionText.includes('sponsorship')) {
        const noButton = [...q.querySelectorAll('button')].find(b => 
          b.textContent.toLowerCase().includes('no') || 
          b.textContent.toLowerCase().includes('not needed')
        );
        if (noButton) noButton.click();
      }
    });
    
    // Submit the application
    setTimeout(() => {
      this.submitApplication();
    }, this.config.actionDelay);
  },

  // Submit the application
  submitApplication: function() {
    const submitButton = [...document.querySelectorAll('button')].find(b => 
      b.textContent.toLowerCase().includes('submit application')
    );
    
    if (submitButton) {
      submitButton.click();
      this.config.applicationsSent++;
      console.log(`Application #${this.config.applicationsSent} submitted successfully`);
      
      // Close any success modal
      setTimeout(() => {
        const doneButton = [...document.querySelectorAll('button')].find(b => 
          b.textContent.toLowerCase().includes('done')
        );
        if (doneButton) doneButton.click();
      }, 2000);
    } else {
      console.log("Submit button not found - application may not have been sent");
      this.closeApplication();
    }
  },

  // Close the application without submitting
  closeApplication: function() {
    const discardButton = [...document.querySelectorAll('button')].find(b => 
      b.textContent.toLowerCase().includes('discard')
    );
    if (discardButton) discardButton.click();
  },

  // Try to navigate to next page of results
  tryNextPage: function() {
    if (this.config.applicationsSent >= this.config.maxApplications) {
      console.log(`Reached maximum application limit of ${this.config.maxApplications}`);
      return;
    }
    
    const nextButton = document.querySelector('button[aria-label="Next"]');
    if (nextButton && !nextButton.disabled) {
      console.log("Moving to next page of results...");
      nextButton.click();
      setTimeout(() => this.preparePage(), this.config.nextPageDelay);
    } else {
      console.log("No more pages of results found");
    }
  }
};

// Start the bot
LinkedInJobBot.init();

Hey there 💯 ,

I saw your LinkedIn Job Application Bot script gist – that's a really cool initiative and a great starting point for automating those applications!

It actually inspired me because I've been working on a similar Tampermonkey script for a different job board, and I've focused on adding things like a persistent UI, saved settings (so you don't have to edit the code each time), tracking which jobs have already been processed, and some more robust error handling.

I got curious and spent some time trying to adapt your LinkedIn bot's logic into that more feature-rich Tampermonkey framework. The idea was to see if it could be made a bit more user-friendly for day-to-day use and more resilient.

I've put together a version that includes:

• A Tampermonkey UI panel to start/stop, see stats, and change settings.
• Persistent settings (job titles, location, notes, etc.) saved using GM_setValue.
• It remembers which jobs it has already processed to avoid duplicates.
• More detailed stats on its activity.
• Some utility functions like waitForElement to make it a bit more stable.

The most important thing to know before diving in is that LinkedIn's website structure changes very frequently. This means the CSS selectors in the script (for finding buttons, job listings, form fields, etc.) will almost certainly need to be verified and updated regularly to keep it working. That's the biggest maintenance point for any script like this.

No pressure at all to use this, of course, but I thought I'd share it in case you find it helpful or it gives you some ideas for your own script. You can take from it whatever you like!

Let me know what you think if you get a chance to look at it, I will show it for you if you accepted collaboration. and if you have any questions. Happy to discuss any part of it!

Ah I forgot, I have done something similar for another job board, called Joblum, it seemed better to start with something simple like this because their website is ALMOST static pages.
https://gist.github.com/MarwanShehata/18fb82b8280edf3d2489878d004bf930

Hey There Thanks for going through my LinkedIn Job got and giving me a good feedback. Although it has some limitations as LinkedIn doesn't allow some code features to go forward and apply for the desired positions. We have to manually. I have also gone through the tampermonkey code too it's looks very interesting and I'll let you know the feedback about it. Thank you once again Warm Regards Sanjay Kathula

…

On Sat, May 17, 2025, 9:56 AM Marwan Shehata ***@***.***> wrote: ***@***.**** commented on this gist. ------------------------------ Hey there 💯 , I saw your LinkedIn Job Application Bot script gist – that's a really cool initiative and a great starting point for automating those applications! It actually inspired me because I've been working on a similar Tampermonkey script for a different job board, and I've focused on adding things like a persistent UI, saved settings (so you don't have to edit the code each time), tracking which jobs have already been processed, and some more robust error handling. I got curious and spent some time trying to adapt your LinkedIn bot's logic into that more feature-rich Tampermonkey framework. The idea was to see if it could be made a bit more user-friendly for day-to-day use and more resilient. I've put together a version that includes: - A Tampermonkey UI panel to start/stop, see stats, and change settings. - Persistent settings (job titles, location, notes, etc.) saved using GM_setValue. - It remembers which jobs it has already processed to avoid duplicates. - More detailed stats on its activity. - Some utility functions like waitForElement to make it a bit more stable. *The most important thing to know before diving in is that LinkedIn's website structure changes very frequently.* This means the *CSS selectors* in the script (for finding buttons, job listings, form fields, etc.) will almost certainly need to be *verified and updated regularly* to keep it working. That's the biggest maintenance point for any script like this. No pressure at all to use this, of course, but I thought I'd share it in case you find it helpful or it gives you some ideas for your own script. You can take from it whatever you like! Let me know what you think if you get a chance to look at it, I will show it for you if you accepted collaboration. and if you have any questions. Happy to discuss any part of it! — Reply to this email directly, view it on GitHub <https://gist.github.com/sanjayka1999/89a153c209be5e21dfa1650d516922d3#gistcomment-5583321> or unsubscribe <https://github.com/notifications/unsubscribe-auth/AXRGUOCCTRDEZZZ356ZXK7T26452RBFKMF2HI4TJMJ2XIZLTSKBKK5TBNR2WLJDUOJ2WLJDOMFWWLO3UNBZGKYLEL5YGC4TUNFRWS4DBNZ2F6YLDORUXM2LUPGBKK5TBNR2WLJDHNFZXJJDOMFWWLK3UNBZGKYLEL52HS4DFVRZXKYTKMVRXIX3UPFYGLK2HNFZXIQ3PNVWWK3TUUZ2G64DJMNZZDAVEOR4XAZNEM5UXG5FFOZQWY5LFVEYTGNZUG44DIOBTU52HE2LHM5SXFJTDOJSWC5DF> . You are receiving this email because you authored the thread. Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub> .