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
• 🖼️ Free card data — companyLogo, benefits ("Actively Hiring"), trackingId and inputUrl come straight from the search card, so they cost no extra requests
• ✅ Standard field names — id, link, companyName, salaryInfo, postedAt, descriptionText, industries, applicantsCount, companyEmployeesCount, applyMethod
• ✅ Full job details — description (plain text + HTML), seniority level, employment type, job function, industries, applicant count, salary (read from the job page, where LinkedIn actually publishes it)
• ✅ Deep company data — website, domain, industry, employee count, headquarters, type, founding year, specialties, description. One cached request per company, so an employer with 30 jobs costs one fetch
• ✅ Job poster — recruiter name, title, and LinkedIn profile URL when the listing shows one
• 🚫 Recruitment-agency filter — flag or remove staffing firms. Employers whose LinkedIn industry is Staffing and Recruiting, Human Resources or similar are caught instantly with no AI call; optional OpenAI (gpt-4o-mini) reads company descriptions for the rest
• 🧹 Data cleanup — keep or drop jobs by words in the title, description or company description. Whole-word matching, so software never hits Softwareentwickler
• 🏢 Max jobs per employer — stop one large company flooding your results
• ⚡ Per-job webhook — each job POSTed to your endpoint as it is scraped, ready for Clay, n8n, Make or Zapier
• ✅ Duplicate-free — deduplicated by LinkedIn job ID, before enrichment, so a duplicate never costs a request
• ✅ No login required — scrapes the public jobs search, so no account can get banned

Limits

LinkedIn caps every search at roughly 1,000 results, however many jobs match. That ceiling is LinkedIn's, not this Actor's, and it cannot be bypassed without corrupting relevance — filter-slicing tricks make LinkedIn loosen the keyword match, so a "software engineer" search starts returning unrelated intern postings. To collect more than 1,000, run several genuinely different searches — narrower keywords (backend engineer, java developer) or separate cities rather than a whole country — and deduplicate on id.

Input

Field	Type	Default	Description
searchUrls	array	US software-engineer search	LinkedIn jobs search URLs; overrides keyword/location and every Option 2 field. Build them in an incognito window
keyword	string	—	Job title or keyword. Used only when no search URL is given
location	string	—	City, region, or country. Used only when no search URL is given
postedWithin	select	Any time	Past 24 hours / week / month
easyApplyOnly	boolean	false	Only jobs you can apply to without leaving LinkedIn
maxItems	integer	0	Jobs needed. 0 = scrape all results. Counts jobs actually kept when a cleanup filter is on
maxJobsPerCompany	integer	0	0 = every job from every employer. Set 2–10 to spread results across more companies
fetchJobDetails	boolean	true	Open each job's page for description, criteria, applicants, salary and recruiter. Off = search-card fields only (title, company, location, date, link), one request per ten jobs, for finding who is hiring
fetchCompanyDetails	boolean	true	One cached request per employer for website, domain, industry, size, HQ, type, founding year, specialties, description. Off roughly halves the requests
includeWords / includeIn	array	—	Keep only jobs containing any of these words, in the fields you choose
excludeWords / excludeIn	array	—	Drop jobs containing any of these words. Exclude always beats include
recruitmentAgencyHandling	select	off	off / flag / exclude. Industry-based screen is free; OpenAI key optional
openaiApiKey	string	—	Your key, billed to you. Used only with gpt-4o-mini
webhookUrl	string	—	POST each job to your URL as it is scraped
maxConcurrency	integer	5	Requests in flight at once. With a residential proxy 20–40 is safe and much faster; lower it if the log shows HTTP 999. Always 5 without a proxy
proxyConfig	proxy	Residential	Residential is the default; datacenter is untested on these endpoints

Example input

{
  "searchUrls": ["https://www.linkedin.com/jobs/search?keywords=Software%20Engineer&location=United%20States&geoId=103644278"],
  "maxItems": 200
}

Only employers hiring directly, no interns, one job per company:

{
  "keyword": "software engineer",
  "location": "United States",
  "maxItems": 500,
  "maxJobsPerCompany": 1,
  "excludeWords": ["intern", "graduate"],
  "excludeIn": ["title"],
  "recruitmentAgencyHandling": "exclude"
}

Every company hiring a VP in Texas this week, fast (card data only):

{
  "keyword": "Vice President",
  "location": "Texas, United States",
  "postedWithin": "r604800",
  "includeWords": ["Vice President", "VP"],
  "includeIn": ["title"],
  "fetchJobDetails": false,
  "fetchCompanyDetails": false,
  "maxConcurrency": 30
}

Output

{
  "id": "4425772390",
  "trackingId": "W6KvEeviLxwIxFaCblOv5Q==",
  "refId": null,
  "title": "Senior Structural Analysis Engineer",
  "companyName": "Turkish Aerospace",
  "companyLinkedinUrl": "https://tr.linkedin.com/company/turkishaerospace",
  "companyLogo": "https://media.licdn.com/dms/image/v2/.../company-logo_100_100",
  "benefits": ["Actively Hiring"],
  "location": "Islāmābād, Pakistan",
  "salaryInfo": "Base pay range $100,000.00/yr - $225,000.00/yr",
  "postedAt": "2026-06-15",
  "postedRelative": "4 weeks ago",
  "link": "https://www.linkedin.com/jobs/view/4425772390",
  "applyUrl": "https://www.linkedin.com/jobs/view/4425772390/",
  "applyMethod": "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",
  "descriptionText": "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",
  "industries": "Engineering Services, Defense and Space Manufacturing, and Airlines and Aviation",
  "applicantsCount": "Over 200 applicants",
  "companyWebsite": "https://www.tusas.com/",
  "companyDomain": "tusas.com",
  "companyIndustry": "Aviation and Aerospace Component Manufacturing",
  "companyEmployeesCount": "10,001+ employees",
  "companyHeadquarters": "Ankara",
  "companyType": "Privately Held",
  "companyFounded": "1973",
  "companySpecialties": "aerospace, aviation, and defence",
  "companyDescription": "Türk Uçak Sanayii Anonim Ortaklığı (TUSAŞ) …",
  "isRecruitmentAgency": false,
  "recruitmentAgencyReason": null,
  "recruitmentAgencyMatchedBy": null,
  "inputUrl": "https://www.linkedin.com/jobs-guest/jobs/api/seeMoreJobPostings/search?keywords=..."
}

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.
• Need only the list of employers hiring for a role? Turn off fetchJobDetails and fetchCompanyDetails and raise maxConcurrency to 30. Title-only includeWords/excludeWords filters are checked on the search card before anything else is fetched, so unwanted jobs cost nothing.
• recruitmentAgencyHandling catches most agencies for free from LinkedIn's industry label; the OpenAI key only matters for firms whose industry and name give nothing away.
• Export as CSV, Excel, or JSON from the dataset tab, or pull via the Apify API.