LinkedIn Jobs Scraper — 100 Free | Salary, Description, Filters

Scrape LinkedIn job listings at scale without login or cookies. Fast HTTP-only scraper — no browser needed, no headless Chrome overhead. 2 modes: search by keywords/location with filters, or get full details for specific job URLs.

$2 per 1,000 results — extracts salary, description, seniority level, and applicant count that most competitors miss. 100 free results lifetime, no credit card needed.

:mag: What Does It Do?

This actor scrapes LinkedIn job data using two modes plus an enrichment option:

1. Search — Find jobs by keywords and location with filters (date posted, job type, experience level, workplace type, company, sort order)
2. Detail — Get full details for specific job URLs or IDs (description, salary, seniority, employment type, industries, apply link)
3. Search + Enrich — Search for jobs, then automatically fetch full details for each result (combines both modes)

HTTP-only architecture means it runs 5-10x faster and costs 90% less than browser-based scrapers. No Playwright, no Puppeteer, no login required. Uses LinkedIn's public guest API endpoints.

:bar_chart: What Data Can You Extract?

Search Results

Field	Type	Description
jobId	string	LinkedIn job ID
title	string	Job title
company	string	Company name
companyUrl	string	Company LinkedIn page URL
companyLogo	string	Company logo image URL
location	string	Job location
postedDate	string	When the job was posted
jobUrl	string	Full LinkedIn job URL
isActivelyHiring	boolean	Whether company is actively hiring
scrapedAt	string	ISO timestamp of when data was scraped

Detail Results (enrichDetails or detail mode)

All search result fields plus:

Field	Type	Description
salary	string	Salary range (when available)
applicantCount	string	Number of applicants
description	string	Full job description (plain text)
seniorityLevel	string	Entry level, Mid-Senior, Director, etc.
employmentType	string	Full-time, Part-time, Contract, etc.
jobFunction	string	Engineering, Marketing, Sales, etc.
industries	string	Industry categories
applyUrl	string	Direct application link

:bulb: Use Cases

• Job market research — analyze hiring trends by role, location, and industry at scale
• Salary benchmarking — collect salary data across companies and regions to benchmark compensation
• Competitor hiring analysis — track what roles competitors are hiring for and how aggressively
• Recruitment pipeline — build candidate sourcing lists from job postings and company data
• Lead generation from job postings — identify companies actively hiring as potential sales leads
• HR analytics — aggregate job data to understand workforce demand, skill requirements, and market gaps

:moneybag: How Much Does It Cost?

• 100 free results — lifetime, no credit card needed
• After that: $2 per 1,000 results ($0.002 each)

Results	Cost
100	Free
50 enriched jobs	$0.10
1,000	$2
10,000	$20
100,000	$200

Competitors charge $5-8 per 1,000 results. This actor is 3-4x cheaper with salary and description data included.

:inbox_tray: Input

Field	Type	Default	Description
mode	enum	search	search or detail
keywords	string	software engineer	Job search keywords (search mode)
location	string	United States	Location to search (search mode)
urls	string[]	[]	LinkedIn job URLs or IDs (detail mode)
maxResults	integer	50	Max results to return (0 = unlimited, max 1000)
enrichDetails	boolean	false	Fetch full details for each search result
datePosted	enum	any	any, past24h, pastWeek, pastMonth
jobType	enum	any	any, full-time, part-time, contract, temporary, volunteer, internship
experienceLevel	enum	any	any, internship, entry, associate, mid-senior, director, executive
workplaceType	enum	any	any, on-site, remote, hybrid
companyId	string	—	LinkedIn company ID to filter by specific company
sortBy	enum	relevant	relevant or recent

Search by Keywords

{
    "mode": "search",
    "keywords": "data engineer",
    "location": "San Francisco, CA",
    "maxResults": 100,
    "datePosted": "pastWeek",
    "jobType": "full-time",
    "workplaceType": "remote"
}

Get Job Details

{
    "mode": "detail",
    "urls": [
        "https://www.linkedin.com/jobs/view/4370317193",
        "https://www.linkedin.com/jobs/view/software-engineer-at-google-4370317193",
        "4370317193"
    ]
}

Search + Enrich with Full Details

{
    "mode": "search",
    "keywords": "product manager",
    "location": "New York",
    "maxResults": 50,
    "enrichDetails": true,
    "experienceLevel": "mid-senior",
    "sortBy": "recent"
}

:outbox_tray: Output Example

Detail Result (enriched or detail mode)

{
    "jobId": "4370317193",
    "title": "Senior Software Engineer",
    "company": "Google",
    "companyUrl": "https://www.linkedin.com/company/google",
    "companyLogo": "https://media.licdn.com/dms/image/v2/C4D0BAQ...",
    "location": "Mountain View, CA",
    "postedDate": "2 weeks ago",
    "jobUrl": "https://www.linkedin.com/jobs/view/4370317193",
    "isActivelyHiring": true,
    "salary": "$170,000/yr - $250,000/yr",
    "applicantCount": "Over 200 applicants",
    "description": "We are looking for a Senior Software Engineer to join our Cloud Platform team. You will design and build large-scale distributed systems, mentor junior engineers, and drive technical decisions across the organization. Requirements: 5+ years of experience in backend development, proficiency in Java, Go, or C++, experience with distributed systems and cloud infrastructure...",
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "jobFunction": "Engineering and Information Technology",
    "industries": "Technology, Information and Internet",
    "applyUrl": "https://careers.google.com/jobs/results/123456",
    "scrapedAt": "2026-04-07T12:00:00.000Z"
}

:zap: Tips

• Use enrichDetails: true to get salary, description, and seniority data — search results alone only include title, company, and location
• Combine filters for targeted results — e.g., remote + full-time + past24h to find fresh remote full-time jobs
• LinkedIn caps results at ~1,000 per search query — use more specific keywords or filters to stay within this limit
• Use companyId to get all jobs from a specific company — find the company ID from their LinkedIn URL (it's the numeric ID in the page source)
• Sort by recent to get the freshest postings first — useful for monitoring new job openings
• Any LinkedIn job URL format works — full URLs, slug URLs, bare numeric IDs, and URLs with tracking parameters are all accepted
• Salary data availability varies — not all job postings include salary; enrichment extracts it when LinkedIn displays it on the detail page
• Rate limiting is handled automatically — the actor includes retry logic with exponential backoff for 429 responses

🔗 Other LinkedIn scrapers

• LinkedIn Profile Scraper — extract name, headline, experience, education, and articles from public profiles
• LinkedIn Ad Library Scraper — search LinkedIn's Ad Library by keyword, company, or payer
• LinkedIn Company Scraper — extract company data, employee counts, posts, similar companies, and full addresses