LinkedIn Jobs Scraper MAX

x402

LinkedIn Jobs Scraper MAX is a paid API for AI agents from agent-data.centorprat.workers.dev, paid per call via x402, $0.12/call, status unknown (last checked 2026-10-29).

Scrapes LinkedIn job listings by keyword and location, returning titles, companies, salaries, full descriptions, tech stacks, and applicant counts — no login required — with up to 100 jobs per keyword/location combination.

Price / call$0.12

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call data and tools for AI agents, $0.002-0.01 per call in USDC via x402 (Base, Polygon or Solana), no account or API key; MAX tiers ($0.05-0.25) run deeper jobs. Agent toolkit: web search, search + read top pages, any page as clean markdown with a prompt-injection check, which-x402-API-to-call recommender, seller check. Data: Google Maps places with contacts, YouTube video data and transcripts, job listings (Indeed, LinkedIn, 13 boards), Google Ads Transparency, TikTok comments, Pinterest, Airbnb, Redfin, AliExpress, app stores, live sports, website and SEO checks, Shopify store tech stacks, and onchain token / address risk checks.

Output

A structured list of job postings, each including: job title, company name, location, date posted, workplace type, salary (when available), full job description text, seniority level, employment type, job function, industries, number of applicants, department, and inferred tech stack. Results are capped at the requested maxJobs per keyword-location pair. Failed individual lookups are not charged.

Example use cases

Hiring market salary benchmarking

“Pull up to 80 LinkedIn job postings for 'machine learning engineer' in the United States and London posted in the past month, including full descriptions and salary info, so I can benchmark compensation ranges across markets.”

Automated job board for niche roles

“Search LinkedIn for up to 100 full-time or contract 'DevOps engineer' and 'platform engineer' jobs in 'Remote' and 'San Francisco' posted this week — filter to mid-senior and director level only, and include tech stacks and applicant counts.”

Competitive talent intelligence

“Scrape LinkedIn for up to 60 recent job postings at companies hiring 'product manager' in New York and Chicago, sorted by most recent, excluding intern roles, and give me each job's company, seniority, employment type, and full description.”

Technical details

Endpoint

POSThttps://agent-data.centorprat.workers.dev/tools/linkedin-jobs-scraper-max?utm_source=zero.xyz

When to prefer

Choose this MAX tier endpoint when you need more than one keyword or location, or need up to 100 jobs per combination — it supports 3 keywords, 2 locations, and up to 100 jobs vs the cheaper $0.01 version. Prefer this over manual LinkedIn browsing or official LinkedIn APIs when you need no-login access to full job descriptions, tech stacks, and applicant counts at scale for recruiting intelligence, market research, or automated job boards.

Side effects

LinkedIn rate limiting or anti-scrape measures may reduce result counts below maxJobs
Jobs with no public salary info will return null for salary fields
includeDetails=true significantly slows response time for large maxJobs values
Invalid or misspelled location strings may return zero results
LinkedIn's public search index caps at ~1,000 results per query, so maxJobs above that has no effect
Network timeouts on the worker may return partial results for large batch requests

Input

Schema · Request body

Field	Type	Description
sortBy	string	Order of results.
jobType	array	Keep these job types.
maxJobs	integer	Up to this many jobs per keyword x location (LinkedIn's public search goes up to ~1,000).
keywords	array	Job search keywords, one search per line, e.g. ["python developer", "data engineer"]. Leave empty to list every job in the location.
locations	array	Where, e.g. ["United States"], ["London, England"], ["Remote"], ["Worldwide"]. Each keyword is searched in each location.
datePosted	string	Only jobs posted in this window.
workplaceType	array	Keep jobs with any of these workplace types.
includeDetails	boolean	Open every posting for the description, seniority, employment type, function, industries, applicants and salary (slower).
excludeKeywords	array	Drop jobs whose title or company contains any of these, e.g. ["intern", "recruiter"].
experienceLevel	array	Keep these experience levels.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "items": [
      {
        "url": "https://www.linkedin.com/jobs/view/4454862094",
        "jobId": "4454862094",
        "title": "Senior Data Engineer, DX",
        "company": "Atlassian",
        "location": "Salt Lake City, UT",
        "seniority": "Mid-Senior level",
        "companyUrl": "https://au.linkedin.com/company/atlassian",
        "industries": "Software Development",
        "postedDate": "2026-10-18",
        "salaryText": null,
        "companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQGeyLL6crkJKg/company-logo_100_100/company-logo_100_100/0/1735593604612/atlassian_logo?e=2147483647&v=beta&t=4riZdTtd16Oeoew0_mSThLQak3uyYv2-ep73cztBjbo",
        "employmentType": "Full-time",
        "searchKeywords": "data engineer",
        "searchLocation": "United States"
      }
    ]
  }
}

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