LinkedIn Jobs Scraper - Global Listings, Salary & Skills

Scrape thousands of public job listings from LinkedIn -- the world's largest professional network with 1B+ members.

What you get

LinkedIn hosts 20M+ active job postings across 200+ countries. Extract job titles, companies, locations, parsed salary ranges, skills, full descriptions, experience levels, and direct apply links. No LinkedIn account needed.

Try it free -- click Start in the Input tab.

Why scrape LinkedIn Jobs?

Whether you're building a job aggregator, tracking hiring trends, benchmarking salaries, or powering a recruitment tool -- LinkedIn is the most comprehensive global source. This scraper accesses only public job listing pages.

Use cases:

• Job aggregation and board platforms
• Salary benchmarking and compensation analytics
• Hiring trend analysis by role, company, and region
• Competitor hiring intelligence
• Recruitment automation and lead generation
• Academic research on labor markets

Output fields

Field	Description
title	Job title
company_name	Hiring company
location	Job location
salary_raw	Salary as displayed
salary_min	Parsed minimum salary
salary_max	Parsed maximum salary
salary_currency	Currency code
salary_period	Pay period (yearly, monthly, hourly)
experience_level	Required experience level
job_type	Full-time, Part-time, Contract, etc.
industry	Company industry
skills	Required skills (Full mode)
description	Full job description (Full mode)
applicant_count	Number of applicants
is_easy_apply	Whether Easy Apply is available
posted_at	Posting date
apply_url	LinkedIn job URL

Example output

{
    "title": "Software Engineer",
    "company_name": "Google",
    "location": "San Francisco, CA",
    "salary_raw": "$150,000 - $200,000/yr",
    "salary_min": 150000,
    "salary_max": 200000,
    "salary_currency": "USD",
    "salary_period": "yearly",
    "experience_level": "Mid-Senior level",
    "job_type": "Full-time",
    "industry": "Technology, Information and Internet",
    "skills": ["Python", "Java", "AWS"],
    "description": "We are looking for a talented Software Engineer to join...",
    "applicant_count": "200+ applicants",
    "is_easy_apply": true,
    "posted_at": "2026-04-05",
    "apply_url": "https://www.linkedin.com/jobs/view/123456/"
}

Input parameters

Parameter	Required	Description
queries	Yes	Job search keywords (e.g., "software engineer", "data scientist")
location	No	City or country (e.g., "San Francisco", "India")
country	No	Country filter: US, UK, India, Canada, etc.
companyName	No	Filter by company (e.g., "Google", "Netflix")
maxResultsPerQuery	No	Max jobs per query (default: 25)
maxPages	No	Search result pages per query (default: 1)
scrapeMode	No	"fast" (cards only) or "full" (with descriptions/salary/skills)
datePosted	No	Filter: past 24h, past week, past month
jobType	No	Filter: Full-time, Part-time, Contract, Temporary, Internship
experienceLevel	No	Filter: Internship through Executive

Scrape modes

Fast mode (default)

Extracts data from search result cards only. Gets: title, company, location, posted date, apply URL. Best for bulk job listing collection.

Full mode

Visits each job's detail page. Gets: full description, salary, experience level, job type, skills, industry, applicant count. Best for complete job data analysis.

Pricing

Mode	Jobs	Cost
Fast	100	~$0.05
Fast	1,000	~$0.50
Full	100	~$0.20
Full	1,000	~$2.00

Pay-per-result pricing at $0.005 per job. Volume discounts available.

Supported locations

Countries (20+): United States, United Kingdom, India, Canada, Australia, Germany, France, Netherlands, Singapore, UAE, Japan, Brazil, Ireland, Sweden, Switzerland, Spain, Italy, Israel, South Korea, Mexico

Cities (100+): San Francisco, New York, London, Berlin, Paris, Amsterdam, Toronto, Sydney, Singapore, Dubai, Tokyo, Bangalore, Mumbai, and many more.

Tips

• Use Fast mode first -- preview results cheaply before switching to Full mode
• One query at a time -- keep queries focused for best results
• Filter by date -- pastWeek finds fresh listings and reduces noise
• Company filter -- add companyName to monitor specific employer hiring
• Use the Apify scheduler to run daily and track new listings automatically

FAQ

Do I need a LinkedIn account? No. The scraper accesses only publicly visible job listing pages.

Why are some fields empty in Fast mode? Fast mode only reads search result cards. Salary, skills, and description require Full mode.

What if I get blocked? The actor includes rate limiting by default. If you see failures, reduce maxPages or add delays between runs.

Related Actors

• Naukri.com Jobs Scraper -- India jobs with descriptions, salary, ratings
• Indeed.com Jobs Scraper -- Global job listings with 22 fields
• CutShort Tech Jobs Scraper -- India tech jobs, salary, skills

Changelog

• v1.0 -- Initial release with Fast/Full modes, 20+ countries, salary parsing, skills extraction