LinkedIn Jobs Scraper — No Cookies, No Login

Search LinkedIn job postings by keyword and get clean, structured results — without connecting your LinkedIn account, logging in, or pasting any cookies. Enter your search terms, pick the same filters LinkedIn's own job search offers, and run.

What you get

For every matching job posting:

• Job title and a direct link to the posting
• Company — name, LinkedIn company page, and logo
• Location and workplace type (on-site, remote, hybrid)
• When it was listed
• Easy Apply flag, so you can filter for one-click applications
• Promoted and repost flags, so you can tell fresh listings from recycled ones
• The keyword each job matched

Results are de-duplicated within a run, so a job matching two of your keywords appears once — and is only charged once.

Input

Field	Description
Keywords (required)	One or more search terms. The Actor runs a separate job search per term. Each term must be 85 characters or fewer.
Max jobs per keyword	How many jobs to return per keyword. Use 0 for as many as LinkedIn surfaces (realistically a few hundred per search). Default 100.
Location	City, region, or country, typed as you would on LinkedIn — "Berlin", "Greater London", "United States". Leave empty to search worldwide.
Distance from location	Exact location only, or within 8 / 16 / 40 / 80 / 160 km of it.
Workplace type	On-site, Remote, Hybrid — any combination.
Experience level	Internship, Entry level, Associate, Mid-Senior level, Director, Executive — any combination.
Job type	Full-time, Part-time, Contract, Temporary, Volunteer, Internship, Other — any combination.
Date posted	Past 24 hours, Past week, or Past month. Default: any time.
Sort by	Most relevant or Most recent.
Company	Only jobs from one company, by name.
Industry	Only jobs in one industry, e.g. "Software Development".
Easy Apply only	Only jobs you can apply to directly on LinkedIn.
Under 10 applicants	Only jobs with fewer than 10 applicants so far.
In your network	Only jobs at companies where the searching account has connections.

Example input

{
  "keywords": ["data engineer", "analytics engineer"],
  "maxItems": 25,
  "location": "Berlin, Germany",
  "locationRadius": "40",
  "workplaceType": ["remote", "hybrid"],
  "seniority": ["mid_senior_level"],
  "employmentStatus": ["full_time"],
  "datePosted": "week",
  "sortBy": "date",
  "easyApply": true
}

Output

Each job is one dataset item you can export to JSON, CSV, or Excel, or pull via the API:

{
  "jobId": "4012345678",
  "jobUrl": "https://www.linkedin.com/jobs/view/4012345678/",
  "title": "Senior Data Engineer",
  "location": "Berlin, Germany",
  "workplaceType": "hybrid",
  "listedAtIso": "2026-08-03T09:12:00Z",
  "isRepost": false,
  "isPromoted": true,
  "easyApply": true,
  "fewApplicants": true,
  "company": {
    "name": "Acme GmbH",
    "profileUrl": "https://www.linkedin.com/company/acme-gmbh",
    "publicIdentifier": "acme-gmbh",
    "logoUrl": "https://media.licdn.com/…"
  },
  "insights": ["Actively hiring"],
  "matchedKeyword": "data engineer",
  "scrapedAt": "2026-08-06T20:00:00Z"
}

Common uses

• Recruiting and sourcing — see which roles a market is hiring for, and spot postings with few applicants before they fill up.
• Job-market and salary research — track hiring volume by title, location, seniority, or remote share over time.
• Feeding an ATS or job board — pull fresh listings on a schedule and load them straight into your own system.
• Competitor hiring signals — watch what a specific company is hiring for; a burst of infra or sales roles says a lot about their roadmap.
• Personal job hunting — build a filtered, always-current feed of Easy Apply roles that match exactly what you want.

Pricing

$0.50 per 1,000 jobs — that's it. No subscription, no per-run fee, and no charge for jobs you don't receive. Duplicates removed within a run aren't charged twice, and you can set a maximum spend per run so costs stay predictable.

Notes

• LinkedIn job results vary between runs, and availability depends on what LinkedIn surfaces for a given search at the time of the run.
• "In your network" reflects the connections of the account performing the search, not your own LinkedIn network.
• Please use scraped data responsibly and in line with applicable laws (including data-protection rules such as GDPR) and LinkedIn's terms. You are responsible for having a lawful basis to collect and process the data you request.