LinkedIn Jobs Scraper

x402

LinkedIn Jobs Scraper is a paid API for AI agents from agent-data.centorprat.workers.dev, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-29).

Scrapes LinkedIn job listings by keyword and location, returning title, company, location, salary, full description, seniority, employment type, applicant count, department, and tech stack — no login required.

Price / call$0.04

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

Returns a list of job postings with fields including job title, company name, location, salary range, full job description, seniority level, employment type, workplace type, number of applicants, department, and inferred tech stack. Detail depth depends on whether includeDetails is enabled.

Example use cases

Competitive talent landscape analysis

“Pull up to 25 full-time machine learning engineer job postings on LinkedIn in San Francisco from the past month — include full descriptions, seniority, and tech stack so I can see what skills companies are hiring for.”

Job board for a niche job search agent

“Find me up to 15 remote contract Python developer jobs on LinkedIn posted in the last 7 days, exclude anything with 'recruiter' or 'intern' in the title, and sort by most recent.”

Entry-level hiring pipeline monitor

“Search LinkedIn for entry-level or associate marketing roles in London posted in the past week — up to 10 results, any workplace type, and include the number of applicants so I know how competitive each posting is.”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need structured LinkedIn job data — especially full descriptions, applicant counts, salary, and tech stack — without managing LinkedIn credentials or session tokens. Prefer it over general multi-board job scrapers when LinkedIn-specific signals (seniority, LinkedIn applicant count, function/department) matter. Ideal for talent intelligence, job aggregation, competitive research, or career agents that need rich, filterable LinkedIn postings at low cost per call.

Side effects

LinkedIn rate-limiting or blocking the scraper returns partial or empty results
Invalid or overly broad keyword/location combinations may return no results
Requesting more than 25 jobs per call exceeds the maxJobs cap
Jobs without public salary data will omit the salary field
includeDetails=true significantly increases response time for large result sets
Failed individual job lookups are not charged but reduce total result count

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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