Linkedin Jobs Scraper

Scrape job listings from LinkedIn without login. Get job titles, companies, locations, salaries, full descriptions, seniority levels, employment types, and more. No API key, cookies, or LinkedIn account needed.

What is LinkedIn Jobs Scraper?

LinkedIn Jobs Scraper is an Apify actor that extracts job listings from LinkedIn's public job search. Simply enter keywords and a location, apply optional filters, and the scraper returns structured job data ready for analysis, lead generation, or job market research.

Features

• Search by keywords and location — Find jobs matching any title, skill, or company name
• Full job descriptions — Get both HTML and plain text versions for NLP or analysis
• Rich metadata — Seniority level, employment type, job function, industry, salary, applicant count
• Advanced filters — Time posted, experience level, job type, remote/hybrid/on-site, Easy Apply
• Direct URL support — Paste LinkedIn search URLs with your own custom filters
• Automatic deduplication — No duplicate listings when combining multiple searches
• No login required — Uses LinkedIn's public job search, no account or cookies needed
• No proxy needed — Works from standard IPs for most use cases

Use Cases

• Job market research — Analyze hiring trends, salary ranges, and in-demand skills
• Lead generation — Find companies actively hiring in your target industry
• Competitive analysis — Monitor competitor hiring patterns and open roles
• Career monitoring — Track new job postings matching your criteria
• Recruitment intelligence — Identify companies expanding in specific locations or functions
• Salary benchmarking — Compare compensation data across companies and locations

Input

Field	Type	Default	Description
Search Keywords	String	—	Job title, skills, or company to search (e.g., "software engineer", "data scientist")
Location	String	—	City, state, country, or "remote" (e.g., "San Francisco", "United States")
Maximum Jobs	Integer	100	Max job listings to scrape (1-1000). LinkedIn limits ~1000 results per query.
Scrape Full Job Details	Boolean	true	Fetch full descriptions, seniority, employment type, etc. Disable for faster runs.
Time Posted	Select	Any time	Filter: Past 24 hours, Past week, Past month
Experience Level	Select	Any	Filter: Internship, Entry, Associate, Mid-Senior, Director, Executive
Job Type	Select	Any	Filter: Full-time, Part-time, Contract, Temporary, Volunteer, Internship
Work Type	Select	Any	Filter: On-site, Remote, Hybrid
Easy Apply Only	Boolean	false	Only show jobs with LinkedIn Easy Apply
Search URLs	URL List	—	Direct LinkedIn job search URLs with filters pre-applied

Note: At least one of Search Keywords or Search URLs must be provided.

Example input — Basic search

{
    "keywords": "software engineer",
    "location": "United States",
    "maxItems": 50
}

Example input — Filtered search

{
    "keywords": "data scientist",
    "location": "New York",
    "jobType": "F",
    "workType": "2",
    "experienceLevel": "4",
    "timePosted": "r604800",
    "maxItems": 100
}

Example input — Direct URL

{
    "searchUrls": [
        { "url": "https://www.linkedin.com/jobs/search/?keywords=python%20developer&location=London&f_JT=F&f_WT=2" }
    ],
    "maxItems": 50
}

Output

Each job listing produces one item in the output dataset:

Field	Type	Description
id	String	LinkedIn's unique job identifier
title	String	Job position title
companyName	String	Hiring company name
companyUrl	String	LinkedIn company page URL
location	String	Job location (city, state, country)
salary	String	Salary range if provided by employer (e.g., "$110,000.00/yr - $155,000.00/yr")
postedDate	String	ISO date when the job was posted
postedDateText	String	Relative posting time (e.g., "3 days ago")
applicantCount	String	Number of applicants (e.g., "Over 200 applicants")
jobUrl	String	Direct link to the job on LinkedIn
descriptionHtml	String	Full job description in HTML format
descriptionText	String	Full job description in plain text
seniorityLevel	String	Required seniority (e.g., "Mid-Senior level")
employmentType	String	Full-time, Part-time, Contract, etc.
jobFunction	String	Job function category (e.g., "Engineering")
industries	String	Industry sector (e.g., "Technology, Information and Internet")
scrapedAt	String	ISO timestamp when data was collected

Sample output

{
    "id": "3876543210",
    "title": "Senior Software Engineer",
    "companyName": "Google",
    "companyUrl": "https://www.linkedin.com/company/google",
    "location": "Mountain View, CA",
    "salary": "$150,000.00/yr - $200,000.00/yr",
    "postedDate": "2026-03-20",
    "postedDateText": "4 days ago",
    "applicantCount": "Over 200 applicants",
    "jobUrl": "https://www.linkedin.com/jobs/view/3876543210",
    "descriptionHtml": "<p>We are looking for a Senior Software Engineer...</p>",
    "descriptionText": "We are looking for a Senior Software Engineer to join our team...",
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "jobFunction": "Engineering and Information Technology",
    "industries": "Technology, Information and Internet",
    "scrapedAt": "2026-03-24T10:30:00.000000+00:00"
}

How to use

Quick start

1. Enter a job title or keyword in the Search Keywords field
2. Enter a location (city, country, or "remote")
3. Set Maximum Jobs to control how many listings to scrape
4. Click Start and wait for results

Use filters for targeted results

Apply filters like Job Type (Full-time), Work Type (Remote), or Time Posted (Past week) to narrow your search. This mirrors the filters available on LinkedIn's job search page.

Use LinkedIn search URLs

1. Go to LinkedIn Jobs in your browser
2. Search for jobs and apply any filters you want
3. Copy the URL from your browser's address bar
4. Paste it into the Search URLs field

Combine both modes

You can provide both keywords and search URLs. The scraper processes all searches and deduplicates results automatically.

How many jobs can I scrape?

LinkedIn limits public search results to approximately 1,000 jobs per unique search query. To get more results:

• Use different keyword variations (e.g., "software engineer" and "software developer")
• Search different locations separately
• Apply different filters to get distinct result sets
• Use multiple search URLs with different parameters

Tips

• Start small — Use maxItems: 10 for your first run to verify the output format
• Disable details for speed — Set scrapeJobDetails: false for a 5-10x faster run when you only need titles, companies, and locations
• Use specific keywords — Narrow keywords produce more relevant results
• Combine with location — Adding a location improves result quality significantly

FAQ

Do I need a LinkedIn account? No. The scraper uses LinkedIn's public job search which is accessible without any login.

Do I need a proxy? No. The scraper works without proxy for most use cases. It will automatically use a proxy only if needed.

How fast is the scraper? With job details enabled: approximately 25 jobs per 15-20 seconds. Without details: 25 jobs per 3-5 seconds.

Why are some fields empty? Fields like salary and applicantCount depend on whether the employer provided that information. LinkedIn only shows salary when the employer explicitly includes a pay range in the listing.

What is "Scrape Full Job Details"? When enabled (default), the scraper visits each job's detail page to get the full description, seniority level, employment type, job function, and industry. Disabling it returns only the data visible in search results (title, company, location, date, salary).

Can I scrape jobs from a specific company? Yes. Either search for the company name as a keyword, or find the company's LinkedIn ID and use a search URL with the f_C parameter.

Why did I get fewer jobs than maxItems? LinkedIn may have fewer matching jobs than your limit, or the search may have hit LinkedIn's ~1000 result cap. Try broader keywords or different locations.