LinkedIn Jobs Scraper

Scrape job listings from LinkedIn's public job search — no login, no account risk, no browser overhead. Uses LinkedIn's guest API directly, so it's fast and returns clean structured data.

Features

• ✅ Two input modes — paste LinkedIn search URLs (all filters preserved) or use keyword + location
• ✅ Full job details — description (plain text + HTML), seniority level, employment type, job function, industries, applicant count
• ✅ Deep company data — website, domain, industry, size, headquarters, type, founding year, specialties, and description (one cached request per company)
• ✅ Job poster — recruiter name, title, and LinkedIn profile URL when the listing shows one
• ✅ Apply intelligence — applyType tells you whether a job uses LinkedIn Easy Apply or an external ATS
• ✅ Filters — posted-within window (24h / week / month), workplace type (on-site / remote / hybrid)
• ✅ Duplicate-free — deduplicated by LinkedIn job ID
• ✅ Fast — pipelined HTTP requests with a concurrency pool; no browser overhead
• ✅ No login required — scrapes the public jobs search, so no account can get banned

Input

Field	Type	Default	Description
searchUrls	array	—	LinkedIn jobs search URLs; overrides keyword/location. Build them in an incognito window
keyword	string	software engineer	Job title or keyword (used when no search URL)
location	string	—	City, region, or country
postedWithin	select	Any time	Past 24 hours / week / month
workplaceType	select	Any	On-site / Remote / Hybrid
maxItems	integer	0	Number of jobs needed. Empty or 0 = scrape all results
fetchDetails	boolean	true	Visit each job for description, criteria, apply type, and job poster
fetchCompanyDetails	boolean	true	Visit each hiring company's page for website, domain, size, HQ, etc.
concurrency	integer	10	Jobs enriched in parallel
maxStalePages	integer	2	Stop after N pages with no new jobs
proxyConfig	proxy	Residential	Recommended for large scrapes

Example input

{
  "searchUrls": ["https://www.linkedin.com/jobs/search/?keywords=software%20engineer&location=Germany&f_TPR=r604800"],
  "maxItems": 200,
  "fetchDetails": true
}

Output

{
  "jobId": "4425772390",
  "title": "Senior Structural Analysis Engineer",
  "company": "Turkish Aerospace",
  "companyLinkedinUrl": "https://tr.linkedin.com/company/turkishaerospace",
  "location": "Islāmābād, Pakistan",
  "salary": null,
  "postedDate": "2026-06-15",
  "postedRelative": "4 weeks ago",
  "url": "https://www.linkedin.com/jobs/view/4425772390",
  "applyUrl": "https://www.linkedin.com/jobs/view/4425772390/",
  "applyType": "easy_apply",
  "jobPosterName": "ALP DÜNDAR",
  "jobPosterTitle": "Recruitment Specialist at Türk Havacılık ve Uzay Sanayii",
  "jobPosterProfileUrl": "https://tr.linkedin.com/in/alp-d%C3%BCndar-a98a9a1a1",
  "description": "We are proud to work for a company that we believe has a great purpose. …",
  "descriptionHtml": "<p><strong>Hello!</strong></p><p>…</p>",
  "seniorityLevel": "Associate",
  "employmentType": "Full-time",
  "jobFunction": "Engineering",
  "jobIndustries": "Engineering Services, Defense and Space Manufacturing, and Airlines and Aviation",
  "applicants": "Over 200 applicants",
  "companyWebsite": "https://www.tusas.com/",
  "companyDomain": "tusas.com",
  "companyIndustry": "Aviation and Aerospace Component Manufacturing",
  "companySize": "10,001+ employees",
  "companyHeadquarters": "Ankara",
  "companyType": "Privately Held",
  "companyFounded": "1973",
  "companySpecialties": "aerospace, aviation, and defence",
  "companyDescription": "Türk Uçak Sanayii Anonim Ortaklığı (TUSAŞ) …"
}

Use cases

• Lead generation — companies actively hiring are companies actively buying; pair with a contact-finder for outreach
• Recruiting & sourcing — monitor fresh openings by market, function, or seniority
• Market research — hiring trends, in-demand skills, remote-work share by industry
• Competitor analysis — track who your competitors are hiring

Tips

• Search URLs must come from the public (logged-out) jobs search — open an incognito window, set your filters, and copy the URL. Logged-in search URLs use different filters that the public API ignores.
• With fetchDetails on, each job costs one extra request; for very large scrapes of basic data, switch it off for ~10× speed.
• Export as CSV, Excel, or JSON from the dataset tab, or pull via the Apify API.