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agdata LinkedIn Jobs Search
x402
agdata LinkedIn Jobs Search is a paid API for AI agents from agdata.shveik.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-14).
Search LinkedIn job listings by keyword, location, and recency, returning structured job data including title, company, salary, and description.
Price / call$0.015
Success—
StatusUnknown
How this service works
Unblock any URL as Markdown, or get search, social, maps, jobs and news as data. Paid per call in stablecoins over x402 or MPP, with no account.
Output
A JSON array of job listing objects, each containing: job ID, title, company name, company URL, location, work type, contract type, experience level, applicant count, posted date, posted time ago, job description (full or truncated flag), salary (if available), sector, apply URL, and apply type.
Example use cases
Daily job alert for a job seeker
“Find me up to 30 data scientist job postings on LinkedIn from the past 24 hours in New York — I want to see the company, salary if listed, and a link to apply.”
Competitive talent landscape research
“Search LinkedIn for software engineering manager roles posted this month in San Francisco and return up to 20 results so I can see which companies are hiring and what experience levels they want.”
Niche role discovery in a new city
“I'm looking for UX researcher positions in Amsterdam posted in the last week — can you pull up to 15 listings from LinkedIn with the job description and contract type?”
Technical details
Endpoint
POSThttps://agdata.shveik.dev/v1/mpp/linkedin-jobs?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured LinkedIn job listing data without scraping LinkedIn directly or managing a LinkedIn API account. It is ideal for agents performing job discovery, market research, or automated job alerts. Prefer this over generic web search endpoints when you need machine-readable job fields (salary, apply URL, experience level) rather than raw HTML or markdown. At $0.015 per call with no account required, it suits lightweight, pay-per-use agent workflows.
Side effects
- Query returns zero results if the search terms are too niche or misspelled
- LinkedIn rate limiting or blocking may cause upstream fetch failures
- Salary and sector fields are frequently null as LinkedIn does not always expose them
- Posted date recency filter may not perfectly align with LinkedIn's internal indexing
- Result count may be lower than the requested limit if fewer listings exist
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limit | integer | |
| query | string | |
| posted | string | |
| location | string |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "44656591…",
"url": "https://…",
"title": "Databric…",
"salary": null,
"sector": null,
"applyUrl": null,
"location": "Prague,…",
"workType": "IT Servi…",
"applyType": "EXTERNAL",
"applicants": "39 appli…",
"companyUrl": "https://…",
"postedDate": "2026-09-…",
"companyName": "Capgemin…",
"description": "Insights…",
"contractType": "Full-tim…",
"postedTimeAgo": "3 weeks…",
"experienceLevel": "Mid-Seni…",
"descriptionTruncated": false
}
}Tags
x402
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