Cheap Advance LinkedIn Jobs Scraper

Scrape LinkedIn job postings at the lowest cost on the market — pay only per result. Extract thousands of jobs with full details, filters, deduplication, and optional company enrichment. No login required.

Why use this LinkedIn Jobs Scraper?

• Cheapest on Apify — pay-per-result pricing, no wasted compute costs
• Fast & lightweight — scrapes 1,000 jobs in under 5 minutes
• No login needed — uses LinkedIn's public job pages, no cookies or accounts required
• Advanced filters — location, job type, experience level, work type, salary, recency
• Duplicate removal — built-in deduplication across multiple keyword searches
• Company enrichment — optionally fetch company description, website, employee count, and address
• Two search modes — keyword-driven search or direct LinkedIn URL crawling (or both combined)

What data does it extract?

Field	Example
Job title	Senior Software Engineer
Job description	Full HTML description
Company name & logo	Google, logo URL
Location	San Francisco, CA
Salary info	$120,000 - $180,000/yr
Employment type	Full-time, Contract, Internship
Experience level	Entry level, Mid-Senior, Director
Work type	Remote, Hybrid, On-site
Apply URL	Direct application link
Posted time	2 days ago
Applicants count	Over 200 applicants
Recruiter name & profile	Jane Smith, LinkedIn URL
Industry/sector	Information Technology
Company details (optional)	Description, website, employee count, address

Use cases

• Job seekers — aggregate and monitor job openings across multiple searches and locations
• Recruiters & HR — build talent pipelines, track competitor job postings, and analyze hiring trends
• Market research — analyze employment trends, skill demand, salary ranges, and remote work adoption
• Business intelligence — monitor competitor hiring activity and workforce expansion signals
• Data analysis — extract structured job market data for dashboards, reports, and visualizations
• Lead generation — identify hiring companies and decision-makers for B2B outreach

Input

Field	Type	Description
startUrls	array	LinkedIn job search URLs to crawl
keyword	array	Keywords to search (e.g., "Software Engineer")
location	string	Location to search in (e.g., "New York, NY")
distance	string	Search radius: 5, 10, 15, 25, or 50 miles
publishedAt	string	r86400 (24h), r604800 (1 week), r2592000 (1 month)
jobType	array	full-time, part-time, contract, temporary, internship
experienceLevel	array	internship, entry-level, associate, mid-senior, director
workType	array	on-site, remote, hybrid
salaryBase	string	Minimum salary: 40000, 60000, 80000, 100000, 120000
maxItems	integer	Maximum results (default: 500)
saveOnlyUniqueItems	boolean	Remove duplicate jobs (default: false)
enrichCompanyData	boolean	Fetch extra company details (default: false)

Example Input

{
    "keyword": ["Software Engineer", "Data Scientist"],
    "location": "New York, NY",
    "publishedAt": "r604800",
    "jobType": ["full-time"],
    "experienceLevel": ["mid-senior"],
    "workType": ["remote", "hybrid"],
    "maxItems": 200,
    "saveOnlyUniqueItems": true
}

Output

Each scraped job is stored as a structured JSON object:

{
    "jobId": "3856789012",
    "jobTitle": "Senior Software Engineer",
    "jobUrl": "https://www.linkedin.com/jobs/view/3856789012",
    "jobDescription": "<p>We are looking for a Senior Software Engineer...</p>",
    "companyName": "Google",
    "companyId": "google",
    "companyUrl": "https://www.linkedin.com/company/google",
    "companyLogo": "https://media.licdn.com/dms/image/...",
    "location": "San Francisco, CA",
    "postedTime": "2 days ago",
    "publishedAt": "2 days ago",
    "applicationsCount": "Over 200 applicants",
    "contractType": "Full-time",
    "experienceLevel": "Mid-Senior level",
    "workType": "Remote",
    "sector": "Information Technology",
    "salaryInfo": ["$120,000 - $180,000/yr"],
    "applyType": "Easy Apply",
    "applyUrl": "https://www.linkedin.com/jobs/view/3856789012/apply",
    "posterFullName": "Jane Smith",
    "posterProfileUrl": "https://www.linkedin.com/in/janesmith",
    "searchString": "Software Engineer",
    "companyDescription": "A multinational technology company...",
    "companyWebsite": "https://about.google",
    "companyEmployeeCount": 150000,
    "companyAddress": {
        "street": "1600 Amphitheatre Parkway",
        "city": "Mountain View",
        "region": "CA",
        "postalCode": "94043",
        "country": "United States"
    }
}

Usage Examples

Search by keyword with filters

Search for remote Data Scientist jobs posted in the last week:

{
    "keyword": ["Data Scientist"],
    "location": "United States",
    "publishedAt": "r604800",
    "workType": ["remote"],
    "maxItems": 100
}

Using start URLs

Provide LinkedIn search URLs directly:

{
    "startUrls": [
        { "url": "https://www.linkedin.com/jobs/search/?keywords=python+developer&location=London" },
        { "url": "https://www.linkedin.com/jobs/search/?keywords=java+developer&location=Berlin" }
    ],
    "maxItems": 500
}

Combine keywords with start URLs

Use both methods together for maximum coverage:

{
    "keyword": ["Product Manager", "Program Manager"],
    "startUrls": [
        { "url": "https://www.linkedin.com/jobs/search/?keywords=scrum+master&location=Austin" }
    ],
    "location": "United States",
    "publishedAt": "r2592000",
    "saveOnlyUniqueItems": true,
    "maxItems": 1000
}

With company enrichment

Get full company details along with job postings:

{
    "keyword": ["Product Manager"],
    "location": "San Francisco, CA",
    "experienceLevel": ["mid-senior", "director"],
    "enrichCompanyData": true,
    "maxItems": 50
}

How much does it cost?

This Actor uses pay-per-result pricing. You only pay for the job listings you actually receive — no charges for failed requests or empty pages.

Results	Estimated Cost
100 jobs	~$0.07
500 jobs	~$0.35
1,000 jobs	~$0.70

Set a max charge limit when starting a run to control your budget. The Actor automatically stops when your limit is reached.

Tips for getting more results

• Use multiple specific keywords instead of one broad term (e.g., "React Developer", "Frontend Engineer", "JavaScript Developer" instead of just "Developer")
• Set publishedAt to r2592000 (past month) for larger result sets
• Combine startUrls with keyword searches for maximum coverage
• Enable saveOnlyUniqueItems to avoid paying for duplicate listings across searches

Limitations

• LinkedIn caps search results at 1,000 per query. Use multiple keywords to get more results.
• Public pages only — some data fields may have limited availability compared to logged-in scraping.
• Residential proxies recommended — LinkedIn blocks datacenter IP ranges. The Actor automatically selects the best available proxy.

Other Job Scrapers

Check out these related scrapers:

• Indeed Job Scraper — Scrape jobs from Indeed
• Glassdoor Jobs Scraper — Scrape jobs from Glassdoor