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LinkedIn Jobs Scraper

Scrape LinkedIn public job listings by keyword and location — no LinkedIn login or cookies required.

LinkedIn's public job search (linkedin.com/jobs/search) is fully accessible without authentication. This actor uses Playwright with a residential proxy to load the public search page and extract structured job data.

Features

• No login, no cookies, no LinkedIn account needed
• Searches by keyword + location (or "Remote")
• Paginates automatically up to your maxResults limit
• Extracts: title, company, location, posting date, job type, seniority level, description (500 chars), applicant count, URLs
• Detects login-wall redirects and stops gracefully (never crashes, never charges for blocked runs)
• First 25 jobs free per Apify account (lifetime), then $0.003 per job (Pay-Per-Event)

Input

Output fields

Pricing

• First 25 jobs per Apify account are free (lifetime, tracked across all runs)
• After that: $0.003 per job (Pay-Per-Event)
• Empty runs, login-wall blocks, and errors are never charged

Notes

• A RESIDENTIAL proxy is strongly recommended — LinkedIn rate-limits datacenter IPs
• If LinkedIn shows a login wall for a particular keyword/location, the actor stops gracefully with login_wall_hit: true in the summary record
• The public jobs page shows up to ~500 jobs per search; use specific keywords for best results

Use in Claude, ChatGPT & any MCP agent

This actor is also a Model Context Protocol (MCP) server tool — call it directly from Claude, ChatGPT, Cursor, Windsurf, or any MCP-compatible AI agent. The agent only pays for results delivered (same pay-per-result model).

• Per-actor MCP endpoint: https://mcp.apify.com/?tools=themineworks/linkedin-jobs-scraper
• Full Mine Works MCP server (all tools): https://the-mine-works-mcp.hatchable.site/api/mcp

// Call this actor as a tool via apify-client (Node)
import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_APIFY_TOKEN'});
const run =await client.actor('themineworks/linkedin-jobs-scraper').call({/* input from the table above */});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);