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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 2026-10-12).
Search LinkedIn public job listings by keyword and optional location, returning up to 50 structured job records including title, company, salary, and description.
Price / call$0.015
Success—
StatusUnknown
How this service works
LinkedIn jobs search API for AI agents: send a job title or keywords and an optional location and get up to 50 public job listings as JSON: title, company, location, posting date, employment type, seniority, salary when listed, the listing's URL and its description. Filter by how recently a job was posted. Recruiter names are not returned. Jobs you paid for but did not get are refunded.
Output
A JSON array of up to 50 job listing objects, each containing: job ID, listing URL, job title, salary (or null), sector, apply URL, location, work type, apply type, applicant count, company URL, posting date, company name, full description, contract type, time ago posted, experience level, and a flag indicating whether the description was truncated.
Example use cases
Daily job hunt for software roles
“Find me the latest full-time Python developer jobs posted in the last 24 hours in Seattle — show me up to 30 results with company name, salary if available, and a link to each listing.”
Competitive salary benchmarking
“Search LinkedIn for senior product manager jobs in New York posted this month and return up to 50 results — I want to see salary ranges and experience levels so I can benchmark compensation.”
Automated recruiter pipeline feed
“Pull up to 50 machine learning engineer job postings from LinkedIn in the last week across any location — I need the job title, company, posting date, description, and URL for each one.”
Technical details
Endpoint
POSThttps://agdata.shveik.dev/x402/linkedin-jobs?utm_source=zero.xyzWhen to prefer
Prefer this endpoint when you need structured LinkedIn job data — including descriptions, seniority, salary, and posting recency — in a single API call without scraping or browser automation. It is especially useful for AI agents that need to surface job leads, benchmark job markets, or automate job-search pipelines. The built-in recency filter (24h/week/month) and up to 50 results per call make it efficient for high-frequency job monitoring workflows.
Side effects
- Query returns zero results if keyword is too obscure or location is misspelled
- Rate limiting or access errors from LinkedIn-side blocking may reduce result counts
- Salary field is frequently null as LinkedIn does not always include it
- Jobs paid for but not delivered are refunded per provider policy
- Invalid enum value for 'posted' field (must be '24h', 'week', or 'month') returns an error
- Exceeding limit maximum of 50 or minimum of 1 causes a validation error
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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