LinkedIn Jobs Scraper - Search, No Login & API

Export public LinkedIn job search results to JSON, CSV, Excel, webhooks, or an API without a LinkedIn login. Search by role and location, optionally add full job details, and get structured job IDs, companies, locations, posting dates, applicant text, compensation text, job criteria, application paths, and source URLs for recruiting, hiring intelligence, and job-board workflows.

Open the 10-result remote AI jobs Task to inspect an editable public search before running. The maximum Actor charge is about $0.0034 if all ten rows complete; failed requests, duplicates, and diagnostics are not billed.

Start in 30 seconds

Use this small input first. It searches one role and location, enriches the results with public descriptions, and caps the run at 25 rows.

{
  "queries": ["AI engineer"],
  "locations": ["United States"],
  "includeDescriptions": true,
  "maxResultsPerQuery": 25
}

The input form defaults to Past week and Include full job details. Both are human-readable controls: no LinkedIn filter codes are required. Keep the 25-row limit for the first run, then widen the date range or result limit after checking the Dataset fields.

Already filtered LinkedIn Jobs in your browser? Paste one or more public https://www.linkedin.com/jobs/search/ URLs into LinkedIn jobs search URLs. The Actor sends only allowlisted job-search filters to LinkedIn's fixed public guest endpoint; it discards tracking parameters and never fetches an arbitrary supplied URL.

Open the run's Dataset tab when it finishes. Every retained row is a usable job record; diagnostics and failed fetches are not written as results.

Temporary LinkedIn response failures are retried within strict bounds. One blocked page or expired detail no longer fails the whole keyword/location run. When descriptions are requested, rows without a successfully parsed description are kept out of billing and reported in the non-billable run summary.

The Actor deduplicates by LinkedIn job ID across every query and location in the run. A job matched by two searches is returned and billed once. RUN_SUMMARY records jobs seen, rows saved, duplicates skipped, failed requests, and billable rows; the summary itself and all diagnostics are free.

Why this actor exists

LinkedIn jobs are one of the clearest paid scraping categories on Apify. Buyers search for LinkedIn jobs scraper, LinkedIn job postings API, LinkedIn hiring signals, LinkedIn job export, LinkedIn jobs CSV, and LinkedIn recruiting data every day. This actor starts with the highest-value and lowest-risk LinkedIn surface: public job postings.

Output

Every row includes job ID, title, company, location, posted date text, job URL, company URL, logo URL, search keyword, and search location. With includeDescriptions enabled, the Actor also returns plain-text and HTML descriptions, applicant count text, salary text when displayed, application URL and type, Easy Apply status, seniority level, employment type, job function, and industries when LinkedIn exposes them publicly.

Missing fields remain null; the Actor does not infer compensation, applicant counts, recruiter identities, or criteria that LinkedIn did not publish.

Best use cases

• Track hiring signals at target accounts for sales and outbound campaigns
• Build job-market datasets by keyword, location, company, role, seniority, or industry
• Enrich job boards, CRM records, Clay tables, spreadsheets, and BI dashboards
• Monitor competitor hiring, expansion signals, remote-job demand, and skill trends
• Feed public job-posting rows into AI agents, lead scoring models, and market maps

Agent and automation workflows

Use this actor as a low-cost LinkedIn jobs data API for Apify tasks, webhooks, Make, Zapier, n8n, Clay, Airtable, Google Sheets, CRM enrichment, and AI-agent pipelines. The output is flat JSON/CSV, so agents can filter by title, company, location, seniority, employment type, industry, and job URL without extra parsing.

Common automation patterns:

• Daily hiring-signal monitor for target accounts
• New-role alerts for sales, recruiting, and market-intelligence teams
• Job-board enrichment from LinkedIn job IDs and URLs
• Labor-market snapshots by keyword and country
• AI lead scoring based on newly opened roles

For a recurring snapshot, save the bounded input as an Apify Task and schedule it daily or weekly. Snapshot runs return and bill the current matching rows again. Use the dedicated New Jobs Monitor after it is released when you need a free baseline and charges only for verified new-job events.

Connect directly from ChatGPT, Claude, or another MCP client through https://mcp.apify.com/?tools=neuton/linkedin-jobs-search-scraper.

SEO keywords

LinkedIn jobs scraper, LinkedIn job postings API, LinkedIn jobs export, LinkedIn hiring signals, LinkedIn recruiting data, LinkedIn jobs CSV, LinkedIn job search scraper, public LinkedIn jobs scraper, LinkedIn jobs no login scraper.

Choose the right LinkedIn jobs Actor

• Use LinkedIn Jobs Search Scraper for broad job discovery by keyword and location.
• Use LinkedIn Job Details Scraper when you already have job IDs or URLs and need full records.
• Use LinkedIn Remote Jobs Intelligence for verified remote-only rows.
• Use LinkedIn Salary Jobs Intelligence for postings with disclosed compensation.
• Use LinkedIn Easy Apply Jobs Scraper for confirmed on-platform Easy Apply paths.
• Need contract, freelance, temporary, or fixed-term roles? Open the one-result LinkedIn Contract Jobs Intelligence Task. Its maximum successful starter charge is $0.012, and every retained row includes the public evidence used for classification.
• Use LinkedIn Company Hiring Signals or LinkedIn Tech Skills Demand Analyzer when you need auditable aggregates instead of raw listings.

Pricing recommendation

This acquisition Actor is $0.34 per 1,000 complete job rows, or about $0.034 for 100. You are charged for deduplicated Dataset results, not diagnostics, failed or incomplete detail fetches, duplicate matches, or opening the Actor page. Start with 25 rows to validate the fields before scheduling a larger recurring run. Specialized LinkedIn intelligence Actors carry higher per-result prices because they perform detail verification, classification, or aggregation.

Responsible use

This actor collects public job listing information. Do not use it for spam, unlawful discrimination, or automated abuse of LinkedIn.