LinkedIn Jobs Scraper

Scrape job listings from LinkedIn without login. Search by keywords, location, job type, experience level, and more. Extract job details, company information, and direct application links.

Built by Artificially | Follow us on X @artificially_io

Use with AI agents (MCP)

This actor works as a tool for AI agents through Apify's MCP server at https://mcp.apify.com: the agent passes job search keywords and gets back one JSON item per job. For agents, set compactOutput: true to get slim items without photos and long text blobs, and keep limits small (maxJobs around 10-25).

Quick setup (sign in with your Apify account when asked):

• Claude (claude.ai or Claude Desktop): Settings → Connectors → Add custom connector, and paste https://mcp.apify.com?tools=artificially/linkedin-jobs-scraper
• Claude Code or Cursor via the Apify CLI (latest version, apify upgrade): apify mcp install claude-code --tools artificially/linkedin-jobs-scraper (use cursor instead of claude-code for Cursor)
• Any MCP client (Cursor, VS Code, Windsurf):

{
  "mcpServers": {
    "apify": { "url": "https://mcp.apify.com?tools=artificially/linkedin-jobs-scraper" }
  }
}

Try asking:

• "Find 20 remote data engineer jobs on LinkedIn posted in the last week."
• "Show product manager jobs in London on LinkedIn with company and posting date."

Features

• No login required - Uses LinkedIn's public guest API
• Powerful filters - Job type, experience level, date posted, remote/on-site
• Multiple queries - Search for multiple job titles in one run
• Reliable extraction - Robust parsing with fallback selectors
• Duplicate detection - The same job is never saved (or charged) twice in a run
• Rate limit handling - Built-in retries and respectful delays
• Proxy support - Works with Apify Proxy for reliable results

Input

Field	Type	Description	Default
searchQueries	array	Job search keywords	Required
location	string	Location to search in	-
maxJobs	integer	Max jobs per query (1-1000)	100
jobType	array	full-time, part-time, contract, etc.	All
experienceLevel	array	entry, mid-senior, director, etc.	All
datePosted	string	any, past-24h, past-week, past-month	any
remoteFilter	string	any, remote, on-site, hybrid	any
maxAttemptsPerPage	integer	Retries per blocked/rate-limited page, each on a fresh proxy IP	6
residentialFallback	boolean	Switch later retries to residential proxies when blocked	true
compactOutput	boolean	Save slim items with only the key fields. Recommended for AI agents	false
proxyConfiguration	object	Proxy settings	Apify Proxy

Example Input

{
    "searchQueries": ["software engineer", "data scientist"],
    "location": "San Francisco, CA",
    "maxJobs": 100,
    "jobType": ["full-time"],
    "experienceLevel": ["entry", "associate"],
    "datePosted": "past-week",
    "remoteFilter": "remote",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

Output

Each job listing contains:

Field	Type	Description
jobId	string	LinkedIn job ID
title	string	Job title
company	string	Company name
companyUrl	string	LinkedIn company page URL
companyLogoUrl	string	Company logo image URL
location	string	Job location
listingDate	string	When job was posted (e.g., "2 days ago")
listingDateParsed	string	ISO date when available
jobUrl	string	Direct link to job posting
searchQuery	string	The search query that found this job
scrapedAt	string	When the data was scraped

Example Output

{
    "jobId": "3812345678",
    "title": "Senior Software Engineer",
    "company": "Tech Company Inc",
    "companyUrl": "https://www.linkedin.com/company/tech-company",
    "companyLogoUrl": "https://media.licdn.com/dms/image/...",
    "location": "San Francisco, CA (Remote)",
    "listingDate": "1 week ago",
    "listingDateParsed": "2024-01-08T00:00:00.000Z",
    "jobUrl": "https://www.linkedin.com/jobs/view/3812345678",
    "searchQuery": "software engineer",
    "scrapedAt": "2024-01-15T10:30:00.000Z"
}

Usage

Via Apify Console

1. Go to the LinkedIn Jobs Scraper page
2. Enter search keywords and location
3. Configure filters as needed
4. Click "Start"
5. Download results in JSON, CSV, or Excel

Via API

curl -X POST "https://api.apify.com/v2/acts/artificially~linkedin-jobs-scraper/runs" \
    -H "Authorization: Bearer <your_api_token>" \
    -H "Content-Type: application/json" \
    -d '{
        "searchQueries": ["software engineer"],
        "location": "New York",
        "maxJobs": 50,
        "jobType": ["full-time"],
        "datePosted": "past-week"
    }'

Via JavaScript SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<your_api_token>' });

const input = {
    searchQueries: ['software engineer', 'data scientist'],
    location: 'San Francisco, CA',
    maxJobs: 100,
    jobType: ['full-time'],
    remoteFilter: 'remote',
};

const run = await client.actor('artificially/linkedin-jobs-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach(job => {
    console.log(`${job.title} at ${job.company} - ${job.location}`);
});

Via Python SDK

from apify_client import ApifyClient

client = ApifyClient("<your_api_token>")

run_input = {
    "searchQueries": ["software engineer", "data scientist"],
    "location": "San Francisco, CA",
    "maxJobs": 100,
    "jobType": ["full-time"],
}

run = client.actor("artificially/linkedin-jobs-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} at {item['company']} - {item['location']}")

Use Cases

• Job Market Research - Analyze hiring trends and in-demand skills
• Salary Benchmarking - Compare compensation across companies
• Recruitment Intelligence - Track competitor hiring patterns
• Career Monitoring - Get alerts for new job postings
• Skills Analysis - Identify most requested qualifications
• Geographic Analysis - Compare job markets across locations

Tips for Best Results

1. Enable Proxy - LinkedIn may block requests without proxy
2. Use Specific Keywords - More specific queries yield better results
3. Try Location Variations - "San Francisco" vs "San Francisco, CA" vs "Bay Area"
4. Combine Filters - Use multiple filters to narrow results
5. Start Small - Test with 50 jobs before scaling up

Pricing

You only pay for complete results. A job is saved (and charged) only when it has a real title, company and LinkedIn job ID. Pages blocked by LinkedIn (rate limits, login walls), incomplete listings and duplicates are skipped for free. A SUMMARY record in the run's key-value store shows how many jobs were saved and skipped, with details in FAILED_PAGES and INVALID_JOBS.

Resource	Cost
Platform usage	~$1.79 per 1,000 jobs
Actor fee	$2.00 per 1,000 jobs
Total	~$3.79 per 1,000 jobs

Limitations

• LinkedIn limits guest API results to ~1000 jobs per search
• Some company logos may not be available
• Rate limiting is applied to respect LinkedIn's servers

Changelog

v1.0.0

• Initial production release
• Robust job parsing with multiple fallback selectors
• Automatic retry on rate limiting
• Duplicate detection
• All major filters supported

Legal Notice

This actor scrapes publicly available job listings from LinkedIn's guest API. No login or authentication is required or used. Please respect LinkedIn's Terms of Service and use responsibly for legitimate business purposes.

Support

• X/Twitter: @artificially_io
• Apify Profile: artificially
• Issues: Use the Issues tab on this actor's Apify page

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