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LinkedIn Jobs Scraper (valig/linkedin-jobs-scraper) via StableApify
x402
LinkedIn Jobs Scraper (valig/linkedin-jobs-scraper) via StableApify is a paid API for AI agents from stableapify.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Scrapes LinkedIn job listings by role and location, returning structured job data at $0.4 per 1,000 jobs
Price / call$0.01
Success—
StatusUnknown
How this service works
Start the "🏆 LinkedIn Jobs Scraper" Apify actor (valig/linkedin-jobs-scraper). $0.4/1K jobs | Scrape LinkedIn job listings based on your selected role and location, saving you time and effort.
Output
Returns an Apify actor run object with a run ID, status (READY), actor ID, start timestamp, total usage in USD, a default dataset ID where results will be stored, and a bearer token to fetch the resulting job listings from the dataset endpoint.
Example use cases
Recruitment pipeline job sourcing
“Pull me the latest 100 LinkedIn job postings for 'Software Engineer' in Austin, TX so I can identify which companies are actively hiring right now.”
Job market research by role
“Scrape LinkedIn for up to 200 'Product Manager' job listings across London — I want to analyze which industries are posting the most openings.”
Competitor hiring intelligence
“Get me up to 50 LinkedIn job listings for 'Machine Learning Engineer' roles in Seattle — I'm trying to see which companies are building out AI teams.”
Technical details
Endpoint
POSThttps://stableapify.dev/api/actors/valig/linkedin-jobs-scraper/callWhen to prefer
Choose this endpoint when you need to programmatically collect LinkedIn job listings at scale for a specific role and location without manual browsing. It is ideal for recruitment automation, job market research, and talent intelligence pipelines. Prefer this over general web scrapers when you specifically need LinkedIn job data in structured form at a predictable per-result cost.
Side effects
- Invalid or missing username parameter returns an error
- Insufficient USDC balance causes payment failure via x402 protocol
- LinkedIn anti-scraping measures may limit or block results
- Actor run may time out for very large result sets
- Memory allocation too low for large scraping jobs causing actor failure
- Dataset may be empty if no jobs match the given criteria
Input
{
"input": {
"username": "sarptecimer",
"includeEmail": false
},
"options": {
"memory": 1024,
"maxItems": 10
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | Normalized actor input. See field descriptions for the simplified shape; native Apify input also accepted (passed through). |
| options | object | Optional Apify run options. |
Output
{
"run": {
"id": "JmARwCRYazN5vBbe1",
"status": "READY",
"actorId": "RIGGeqD6RqKmlVoQU",
"startedAt": "2026-06-16T17:44:44.824Z",
"usageTotalUsd": 0,
"defaultDatasetId": "STy7ibcnHtWijkbav"
},
"token": "eyJhbGciOiJIUzI1NiJ9.eyJydW5JZCI6IkptQVJ3Q1JZYXpONXZCYmUxIiwiYWN0b3JJZCI6InZhbGlnL2xpbmtlZGluLWpvYnMtc2NyYXBlciIsImRlZmF1bHREYXRhc2V0SWQiOiJTVHk3aWJjbkh0V2lqa2JhdiIsInciOiIweDljYzQyZjNkOTI0NWI4NjdhY2NjZDYzMGI0M2Y5MDZjMTY2NWIxNzYiLCJpYXQiOjE3ODE2MzE4ODUsImV4cCI6MTc4NDIyMzg4NX0.IuBhDI7p7nF4udhh9PK5JX5Vt-baJUopwlUerEPTFy0"
}Tags
x402
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