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LinkedIn Jobs Scraper
Scrape every job from any LinkedIn Jobs search — salary ranges & recruiter details included.
Trusted worldwide by the best
Export jobs from LinkedIn — right now
Extract
Paste any LinkedIn Jobs search and get every posting — salary, seniority, recruiter, 40 data points per job.
Schedule
Automate LinkedIn data collection on daily, weekly, or monthly schedules.
Export
Export all job data to Google Sheets, email, or S3 — fully automated.
Built for Agents
Run it from your stack.
Or hand it to your agent.
LinkedIn Jobs Scraper ships with a Python SDK, a one-line CLI and a native MCP server your agents can plug into directly — no rate limits to dodge, no bot mitigation to bypass, no parsing errors to chase down.
# install once (Python 3.10+)
pip install lobstrio
# check your token
lobstr whoami
# find the scraper
lobstr crawlers search "linkedin"
# one call — launch, wait, download
lobstr go linkedin-jobs-scraper \
"<any LinkedIn URL>" \
--param max_results=200 \
-o results.csv40 data attributes per job
Every scrape returns structured data you can export as CSV, JSON, or via API.
Unique LinkedIn job posting identifier
Direct URL to the job posting on LinkedIn
Job position title
Name of the hiring company
LinkedIn page URL of the hiring company
URL of the hiring company's logo image
Job location as displayed on the posting
Date the job was posted (daily granularity)
Human-readable posting age as displayed on LinkedIn
Salary information as displayed on the posting, when available
Fast
100 jobs per minute
Lightning-fast performance
Solid
99.95% task success rate
Dependable, reliable data every time
Cost-competitive
$0.5 per 1000 jobs
Top affordability worldwide
Built to run.
Most scrapers break in silence. This one doesn't — and we show it, openly.
incident-free runs · last 90 days
Tracked from every run. Incidents stay on the record even after they're fixed.