linkedin-jobs-search
Search LinkedIn job listings and extract full job details. Supports filtering by work type (remote/on-site/hybrid), contract type (full-time/part-time/contract/internship), experience level, date posted, and company. Returns job title, company, location, work type, contract type, experience level, posted date, applicant count, job description, salary, and direct job URLs. Use when user mentions linkedin jobs, linkedin job search, scrape linkedin jobs, extract linkedin job listings, find jobs on linkedin, job openings, job postings linkedin, linkedin career search, job hunting linkedin, linkedi
npx skills add browser-act/skills --skill linkedin-jobs-search --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LinkedIn — Job Search > keywords + location + filters → paginated job list with full details ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Search LinkedIn job listings with full filter support, extract complete job data with full field coverage. ## Prerequisites - The browser is open and the LinkedIn session is active (logged in). A LinkedIn jobs search page such as `https://www.linkedin.com/jobs/search/` must have been visited at least once so the CSRF token cookie is set. ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ### 2. Login Verification If login status for LinkedIn has been confirmed in the current session → skip this step. Otherwise: open `https://www.linkedin.com` and observe the page: - User avatar or "Me" menu visible → logged in, continue - Sign in / Join button visible → not logged in, inform user that LinkedIn login is required first User refuses or cannot log in → te
- Language
- Objective
- Prerequisites
- Pre-execution Checks
- 1. Tool Readiness
- 2. Login Verification
- Capability Components
- API: Search LinkedIn jobs (list page)
- API: Get full job details
- Composite: Full job extraction (search list + detail for each job)
- Enum Parameters
- Pagination
- Success Criteria
- Known Limitations
while [ $collected -lt $TOTAL_ROWS ]; do
echo "$result" | python -c "
import json, sys
data = json.loads(sys.stdin.read())
for job in data.get('jobs', []):
for job_id in $job_ids; do
echo "$detail" >> $OUTPUT_FILE
sleep 1
done
sleep 2What does the linkedin-jobs-search skill do?
Search LinkedIn job listings and extract full job details. Supports filtering by work type (remote/on-site/hybrid), contract type (full-time/part-time/contract/internship), experience level, date posted, and company. Returns job title, company, location, work type, contract type, experience level, posted date, applicant count, job description, salary, and direct job URLs. Use when user mentions linkedin jobs, linkedin job search, scrape linkedin jobs, extract linkedin job listings, find jobs on linkedin, job openings, job postings linkedin, linkedin career search, job hunting linkedin, linkedi
How do I install it?
Run `npx skills add browser-act/skills --skill linkedin-jobs-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
