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🔍 LinkedIn Jobs Scraper — Skills, Salary & B2B Hiring Signals

Extract LinkedIn job listings by keyword + location — no login, no cookies, no manual URL building required. Returns fully structured data including parsed salary (min/max numbers), required skills array, easy-apply flag, applicant count, seniority level, and full job description.

The only LinkedIn jobs actor with a documented output schema — making it the best choice for AI agents (Claude, ChatGPT) and automated pipelines.

Export scraped data, run via API, schedule recurring runs, or integrate with other tools.

Why This Actor?

Most LinkedIn scrapers either require you to manually build search URLs, return raw unstructured text, or cost 5-10x more per result. This actor is different:

• Simple input — just type your job title and location. No URL building in incognito windows.
• Multi-query + multi-location — run ["Software Engineer", "ML Engineer"] × ["New York", "London"] in one run
• Parsed salary — returns salary_min: 180000 and salary_max: 240000, not just a raw string
• Skills as array — required_skills: ["Python", "PyTorch"] for easy filtering
• B2B hiring signals — find companies actively hiring to power sales prospecting and competitive intel
• Built-in deduplication — cross-query runs never return the same job twice
• Full output schema — every field documented for AI agent compatibility

Use Cases

For recruiters and talent teams: Aggregate open roles across companies and locations. Monitor competitors' hiring activity. Build sourcing pipelines for specific skill sets.

For B2B sales teams: Identify companies hiring for roles that signal budget and buying intent. Find hiring managers and decision-makers. Use job postings as warm outreach triggers.

For job seekers and market researchers: Track salary trends across roles and geographies. Analyze which skills are most in-demand. Compare remote vs on-site availability by location.

For developers and data teams: Feed structured job data into dashboards, CRMs, ATS systems, or AI pipelines. Schedule daily monitoring runs for specific searches.

Input Parameters

Simple keyword search (recommended)

{
"searchQueries":["Software Engineer","Product Manager"],
"locations":["San Francisco, CA","Remote"],
"maxResults":100,
"datePosted":"r604800"
}

This runs 4 searches: each query × each location. Results are automatically deduplicated.

Direct URL mode (advanced)

Open linkedin.com/jobs in an incognito window, apply your filters, copy the URL, and paste it here:

{
"startUrls":[
{"url":"https://www.linkedin.com/jobs/search/?keywords=data+scientist&location=New+York&f_E=4&f_WT=2"}
],
"maxResults":200
}

With filters

{
"searchQueries":["DevOps Engineer"],
"locations":["United States"],
"maxResults":50,
"experienceLevel":["4","5"],
"workType":["2","3"],
"jobType":["F"],
"salaryBase":"100000"
}

Output Fields

Each result is a JSON object with the following fields:

Example output record

{
"job_id":"3812749302",
"job_title":"Senior Machine Learning Engineer",
"company_name":"Anthropic",
"company_url":"https://www.linkedin.com/company/anthropic",
"company_size":"201-500 employees",
"company_industry":"Artificial Intelligence",
"location":"San Francisco, CA (Hybrid)",
"work_type":"Hybrid",
"employment_type":"Full-time",
"seniority_level":"Mid-Senior level",
"salary_range":"$200,000–$280,000/yr",
"salary_min":200000,
"salary_max":280000,
"required_skills":["Python","PyTorch","RLHF","Distributed Systems"],
"is_easy_apply":false,
"applicant_count":"142 applicants",
"posted_at":"2 days ago",
"job_description":"We are looking for a Senior ML Engineer...",
"job_url":"https://www.linkedin.com/jobs/view/3812749302/",
"search_query":"Machine Learning Engineer",
"source_url":"https://www.linkedin.com/jobs/view/3812749302/",
"scraped_at":"2026-03-31T14:22:00.000Z"
}

Cost & Performance

Pricing: $0.0005 per job result (PAY_PER_EVENT). No actor start fee.

Compare: the dominant competitor charges $0.001/result (2x more). Premium competitors charge up to $0.005/result (10x more).

Performance: ~25–50 jobs/minute depending on LinkedIn's response times and proxy routing. 50 jobs typically takes 2–4 minutes.

Filters Reference

Limitations

• LinkedIn limits each search URL to ~1,000 results. Use multiple search queries to get more.
• Salary data is only available on job postings where the employer has added it (typically 30–40% of postings in the US).
• Skills extraction requires LinkedIn to expose the skills section on the public job page. For some postings, skills will be empty.
• LinkedIn may show an auth wall on some requests. The actor retries with a fresh session when this happens.

No Login Required

This actor operates entirely on LinkedIn's public job search pages, which are accessible without an account. No cookies, no session tokens, no LinkedIn credentials needed.

Support & Feedback

Found a bug or want a new feature? Open an issue on this actor's page. We respond within 48 hours and typically ship fixes within a week.

Works great with our Google Jobs Scraper for cross-platform job market research.

Changelog

v0.1 — Initial release. Keyword + location search, multi-query cross-product, full detail page extraction, salary parsing, skills extraction, PPE pricing.