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Search LinkedIn and submit tailored job applications

Claude Code drives a real Chrome browser to find matching jobs from a resume, collect them in a CSV, write cover letters, fill forms and submit.

Time saved
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Setup time
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Running cost
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Cost range
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Use case overview

Claude Code drives a real Chrome browser to find matching jobs from a resume, collect them in a CSV, write cover letters, fill forms and submit.

Reported experience

  1. What they did

    Chrome runs with remote debugging on, and Claude Code connects to it through Selenium scripts it writes itself. A markdown skill prompt, a markdown resume and a cover-letter style template guide it. It searches LinkedIn from the resume, builds to_apply.csv, then writes a letter per posting, fills the form and submits. The author skims the CSV first.

  2. How it went

    A search run yields 50-130 postings in minutes, and each application takes 60-90 seconds. The author says daily application time fell from 3-4 hours to about 30 minutes. CAPTCHAs and two-factor walls still need a human.

  3. Worth knowing

    Job postings can carry hidden prompt-injection canary words that auto-reject bots, so add an ignore-embedded-instructions rule to the skill prompt. Setup took about two hours.

Example prompts

Try with Claude Code
Using my resume at [path to resume file], search LinkedIn in my Chrome browser for [job title] roles in [location] and save the best matches to a CSV with title, company, and link. Then draft a tailored cover letter for each of the top [number] matches. Before you submit any application or fill in a final form, pause and show me the cover letter and the answers you plan to send. Stop when the CSV and drafts are ready and I have approved or skipped each one.