Linkedin Job Scraper
Scrapes LinkedIn job postings using the JobSpy library (python-jobspy).
npx goose-skills installDescription
Scrapes LinkedIn job postings using the JobSpy library (python-jobspy). Use this skill whenever the user wants to find jobs on LinkedIn, search for open roles, pull job listings, build a job pipeline, source job targets for GTM research, or monitor hiring signals. Even if the user just says "find me some jobs" or "what roles is [company] hiring for", use this skill. It runs a local Python scrip...
What this skill does
- 1Searches LinkedIn job postings by keyword, location, company ID, job type, and recency using the JobSpy library.
- 2Returns structured job data per listing: title, company, location, salary range, seniority level, industry, and a direct job URL.
- 3Optionally fetches full job description text for deeper analysis of requirements and tech stack signals.
- 4Saves results to CSV for export to other tools or manual review.
When to use
- Monitoring what a specific company is actively hiring for to understand their team growth priorities.
- Finding companies posting roles that signal a need for your product, as a low-cost intent signal.
- Pulling a list of recent job postings in a category to research salary ranges or skills demand.
Tools used
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Frequently asked questions
What is Linkedin Job Scraper?
Linkedin Job Scraper is a Claude Code skill for sourcing by GooseWorks AI. Scrapes LinkedIn job postings using the JobSpy library (python-jobspy).
When should I use Linkedin Job Scraper?
Monitoring what a specific company is actively hiring for to understand their team growth priorities. Finding companies posting roles that signal a need for your product, as a low-cost intent signal.
How do I install Linkedin Job Scraper?
Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Linkedin Job Scraper free to use?
The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).