LinkedIn Jobs Scraper

Scrape public job listings from LinkedIn — titles, companies, parsed salary, skills, descriptions, and apply links. Global coverage with 20+ country filters.

What you get

LinkedIn hosts 20M+ active job postings across 200+ countries. This scraper returns titles, companies, locations, parsed salary ranges (min/max/currency/period), skills, experience levels, job type, full descriptions, applicant counts, and direct apply links. No LinkedIn account needed, no API key.

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 (Standard and Full modes)
description	Full job description (Standard and Full modes)
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"]). Each query runs a separate LinkedIn search.
location	No	City or country (e.g., "San Francisco", "London", "Bangalore", "India"). Leave empty for worldwide.
country	No	Country filter: United States, United Kingdom, India, Canada, Australia, Germany, France, Netherlands, Singapore, UAE, Japan, Brazil, Ireland, Sweden, Switzerland, Spain, Italy, Israel, South Korea, Mexico. Leave empty to use the location field instead.
companyName	No	Limit results to a specific company (e.g., "Google", "Netflix").
maxResultsPerQuery	No	Max jobs per query. Default 5 (start small to preview cost; raise for larger runs). LinkedIn shows ~25 per page.
maxPages	No	Number of search result pages per query. Default 1. Each page has ~25 jobs.
scrapeMode	No	standard (default — fastest, gets all fields), full (alternative extraction with fallback), or fast (search cards only, no descriptions).
datePosted	No	Filter: Any time, Past 24 hours, Past week, Past month.
jobType	No	Filter: Full-time, Part-time, Contract, Temporary, Internship.
experienceLevel	No	Filter: Internship, Entry level, Associate, Mid-Senior level, Director, Executive.
proxyConfiguration	No	Proxy settings. Leave default for best results.

Scrape modes

• Standard (recommended): Fastest and most affordable. Gets all fields including descriptions, salary, and skills.
• Full: Alternative extraction method with fallback. Use if Standard returns incomplete data for your queries.
• Fast: Extracts data from search result cards only — title, company, location, posted date, apply URL. Best for bulk collection when descriptions aren't needed.

Use cases

• Job aggregators: Build global job boards with LinkedIn as the flagship feed.
• Salary analytics: Benchmark parsed salary ranges across roles, levels, and geographies.
• Hiring intelligence: Track competitor hiring by company name and experience level.
• Recruiting tools: Power sourcing workflows with fresh public listings and apply URLs.
• Labor-market research: Study demand by skill, industry, and geography over time.

Use cases & recipes

Step-by-step guides on thirdwatch.dev/blog:

• Build a LinkedIn Jobs Aggregator with Apify (2026 Guide)
• Filter LinkedIn Jobs by Skill and Location (2026 Guide)
• Scrape LinkedIn Jobs Without Login at Scale (2026 Guide)
• Track LinkedIn Hiring Velocity by Company (2026)

-end

Pricing

Pay-per-result pricing. Tiered discounts apply automatically based on usage volume.

Tier	Price per result
FREE	$0.008
BRONZE	$0.006
SILVER	$0.005
GOLD	$0.004

A test run of 5 results costs ~$0.04. A daily pull of 1,000 jobs costs $8 at FREE and $4 at GOLD.

Limitations

• Salary fields are populated for roughly 40-60% of listings — LinkedIn shows salary only when the employer opts in.
• skills and description require Standard or Full mode; Fast mode reads only the search cards.
• Easy Apply jobs have an apply_url pointing back to LinkedIn; direct-apply jobs link to the employer's site.
• No login means no personalized recommendations — only public listings.
• Very high volumes may hit LinkedIn rate limits; split large pulls across multiple runs.

Compared to alternatives

• vs. curious_coder/linkedin-jobs-scraper ($0.001/result, 45K users): Cheaper per result with a much larger installed base, but returns fewer fields and does not parse salary. Use this actor when you need structured salary, skills, and descriptions with a free trial.
• vs. bebity/linkedin-jobs-scraper (~$0.005/result): Comparable fields, but no tiered volume discounts.
• vs. LinkedIn's public API: LinkedIn does not offer an open job-search API for third parties. This actor is the structured-data alternative.

Pairs well with Indeed Scraper and Naukri Scraper for multi-source hiring datasets.

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 reads only the search cards. Salary, skills, and description require Standard or Full mode.

What if I get blocked? The actor has built-in rate limiting. If you see failures, lower maxPages, shrink queries, or spread runs across the day.

Last verified: 2026-04

More scrapers at thirdwatch.dev.