Overview

Manual job hunting on LinkedIn is tedious—searching, screening, and writing cover letters drains time and energy. This workflow automates bulk job scraping, extracts key job data, matches it against your Google Drive resume using AI, and generates custom scores and cover letters. Results are written back to Google Sheets to streamline and accelerate your job applications.

The Impact

  • Slash manual screening. Auto-extract and analyze LinkedIn job listings at scale.
  • Boost application speed. Generate AI-driven match scores and personalized cover letters instantly.
  • Centralize data. Sync results back to Google Sheets for easy tracking and management.
  • Reduce repetitive writing. Eliminate tedious cover letter drafting with AI-powered templates.

Who This Is For

  • Job Seekers Bulk-apply to relevant LinkedIn jobs with AI-backed match scoring and cover letters.
  • Recruiters Accelerate candidate pre-screening by automatically matching resumes to job descriptions.
  • University Career Centers Manage mass applications by matching student resumes to job listings efficiently.
  • Career Communities Provide members with automated job matching and application support.

How It Works

1
  1. Data Reading
  2. Read your resume text from Google Drive and job search parameters from a Google Sheets source sheet.
2
  1. Search URL & Job Link Extraction
  2. Convert job search rows to JSON, build LinkedIn job search URLs, fetch search result pages, and extract up to 50 job detail links.
3
  1. Per-Job Scraping & Parsing
  2. Pause between requests, fetch each job detail page, and parse out title, company, location, description, and job ID.
4
  1. AI Matching
  2. Send job descriptions and your resume to an AI agent that returns a match score and generates a personalized cover letter.
5
  1. Writeback
  2. Parse AI output and append or update the match results in the target Google Sheets for easy review and application tracking.

What You'll Need

Before using this template, make sure you have:

  • Google Drive OAuth credentials to read your resume file.
    Google Sheets OAuth credentials to read job search parameters and write back results.
    A readable resume file stored in Google Drive (text or exportable document).
    A Google Spreadsheet with a source sheet for job search parameters and a target sheet for results.

How to Use

  1. Step 1. Prepare Resume
  2. Upload or ensure your resume is stored in Google Drive as a readable text file.

  3. Step 2. Set Up Sheets
  4. Create a source sheet listing job search criteria with headers: Keyword, Location, Experience Level, Remote, Job Type, Easy Apply. Create a target sheet for results.

  5. Step 3. Configure Credentials
  6. Authorize Google Drive and Sheets access for the workflow.

  7. Step 4. Run Workflow
  8. Input your resume file URL, spreadsheet ID, source and target sheet names, and optional row range; start the automation.

  9. Step 5. Verify Results
  10. Check the target sheet for matched job listings, scores, and AI-generated cover letters to proceed with applications.

FAQs

How does the workflow extract job links from LinkedIn?
It parses the LinkedIn job search results HTML, locating the <ul class="jobs-search__results-list"> and within it <li> <div> <a class="base-card"> elements to extract up to 50 job URLs.
How is the AI match score and cover letter generated?
The parsed job description and your resume text are sent to an AI agent that compares them, returning a numerical match score and a two-paragraph personalized cover letter.
What if the resume or job description parsing fails?
The workflow includes fallback defaults and error handling to continue running, returning empty or default values without crashing the process.
Can I limit the number of job search rows processed?
Yes, specify the RowRange parameter (e.g., "3" or "2:5") to restrict which rows from the source sheet are read for job searches.
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