LinkedIn Job Scraper

🔍 Scrape job listings from LinkedIn's public job search pages — no login required.

Extract structured data from LinkedIn job postings including title, company, location, salary, full description, seniority level, employment type, and more.

Features

• ✅ No LinkedIn account needed — scrapes public job search pages
• 🏠 Residential proxy — uses Apify residential proxies to avoid blocks
• 📄 Rich data extraction — title, company, location, salary, description, seniority, employment type
• 🔎 Flexible filters — keywords, location, job type, experience level, date posted, remote/on-site/hybrid
• 📑 Pagination — automatically fetches multiple pages of results
• ⚡ Two-phase scraping — fast listing scan + detailed job page extraction

Input

Field	Type	Description	Default
keywords	string	Search keywords (required)	—
location	string	Job location filter	—
jobType	string	Full-time, Part-time, Contract, etc.	Any
experienceLevel	string	Internship to Executive	Any
datePosted	string	Past 24h, week, or month	Any time
remoteFilter	string	On-site, Remote, or Hybrid	Any
maxResults	integer	Max job listings to scrape	50

Example Input

{
  "keywords": "software engineer",
  "location": "San Francisco, CA",
  "jobType": "F",
  "maxResults": 25
}

Output

Each job listing produces a dataset item with the following fields:

Field	Type	Description
jobId	string	LinkedIn job ID
title	string	Job title
company	string	Company name
location	string	Job location
salary	string	Salary info (if available)
description	string	Full job description (up to 5000 chars)
postedDate	string	When the job was posted
url	string	Direct link to the job posting
employmentType	string	Full-time, Part-time, Contract, etc.
seniorityLevel	string	Entry, Mid-Senior, Director, etc.
jobFunction	string	Job function category
industries	string	Industry category
scrapedAt	string	ISO timestamp of when data was collected

Example Output

{
  "jobId": "3812345678",
  "title": "Senior Software Engineer",
  "company": "Acme Corp",
  "location": "San Francisco, CA",
  "salary": "$150,000 - $200,000/yr",
  "description": "We are looking for a Senior Software Engineer to join our team...",
  "postedDate": "2 days ago",
  "url": "https://www.linkedin.com/jobs/view/3812345678",
  "employmentType": "Full-time",
  "seniorityLevel": "Mid-Senior level",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Technology, Information and Internet",
  "scrapedAt": "2026-02-21T12:00:00.000Z"
}

How It Works

1. Search phase: Queries LinkedIn's public job search API to collect job IDs matching your filters
2. Detail phase: Visits each job's public detail page to extract full information
3. Proxy rotation: Uses Apify residential proxies with US geolocation to avoid rate limiting

Cost Estimation

• ~25 jobs per search page request
• 1 additional request per job for details
• For 50 jobs: ~2 search pages + 50 detail pages = ~52 requests
• Estimated cost: ~$0.10–0.30 depending on proxy usage

Limitations

• Only public job listings are accessible (no login-gated content)
• Salary data is only available when the employer includes it
• LinkedIn may occasionally change their page structure
• Rate limits may apply for very large scrapes

License

Apache-2.0