LinkedIn Jobs Scraper

Scrape LinkedIn job listings at scale — no login required. Extract job titles, companies, salaries, descriptions, seniority levels, and more from LinkedIn's public job search.

Features

• No login required — uses LinkedIn's public Guest API
• Full job details — title, company, salary, description, seniority, industry
• Anti-detection — built-in browser fingerprint protection and proxy rotation
• Flexible filters — keyword, location, job type, experience level, remote/on-site
• Structured output — clean JSON with 16+ fields per job listing

Output Fields

Field	Description	Coverage
jobId	LinkedIn job posting ID	100%
jobTitle	Job title	100%
companyName	Hiring company name	100%
companyUrl	Company LinkedIn URL	100%
companyLogo	Company logo image URL	95%+
location	Job location	100%
jobUrl	Direct link to job posting	100%
postedAt	Posting date (ISO format)	100%
jobDescription	Full description (HTML)	100%
employmentType	Full-time, Part-time, Contract, etc.	100%
experienceLevel	Entry, Mid-Senior, Director, etc.	100%
jobFunction	Engineering, Marketing, Sales, etc.	100%
industry	Software Development, Finance, etc.	100%
salary	Salary range (if disclosed)	~30%
isRemote	Whether the job is remote	Varies
scrapedAt	Scrape timestamp	100%

Input Parameters

• keyword (required) — Search term (e.g., "python developer", "product manager")
• location — City or region (e.g., "New York", "London")
• country — Country filter (US, UK, CA, AU, DE, FR, IN, etc.)
• jobType — Full-time, Part-time, Contract, Internship
• datePosted — Past 24 hours, Past week, Past month
• experienceLevel — Entry, Associate, Mid-Senior, Director, Executive
• remoteFilter — Remote, On-site, Hybrid
• maxResults — Maximum jobs to collect (1-1000, default 50)
• scrapeDetails — Fetch full details per job (default: true)

Example Output

{
  "jobId": "4392935757",
  "jobTitle": "Software Engineer",
  "companyName": "Uber",
  "companyUrl": "https://www.linkedin.com/company/uber-com",
  "companyLogo": "https://media.licdn.com/dms/image/...",
  "location": "San Francisco, CA",
  "jobUrl": "https://www.linkedin.com/jobs/view/software-engineer-at-uber-4392935757",
  "postedAt": "2026-03-30",
  "jobDescription": "<strong>About the Role</strong>...",
  "employmentType": "FULL_TIME",
  "experienceLevel": "Entry level",
  "jobFunction": "Engineering and Information Technology",
  "industry": "Internet Marketplace Platforms",
  "salary": "USD 160000-250000 YEAR",
  "isRemote": false,
  "scrapedAt": "2026-04-01T15:58:32.543Z"
}

Use Cases

• Recruiters — Monitor job market trends and competitor hiring
• Job seekers — Track new postings across multiple keywords
• HR analytics — Analyze salary ranges, seniority distribution, industry trends
• Lead generation — Find companies that are hiring in your target market
• Market research — Understand workforce demand by skill, location, and industry

Performance

• ~10 jobs/page, ~7 seconds per search page
• ~8 seconds per detail page (with anti-detection)
• 50 jobs with full details: ~2 minutes
• 500 jobs with full details: ~15 minutes

Proxy

This Actor uses its own residential proxy pool for reliable access. No additional proxy configuration needed.