LinkedIn Jobs Scraper

LinkedIn Jobs Scraper

Scrape LinkedIn job postings by title, location, and filters, up to a million per run. Every job comes with its description, salary, skills, company details, and raw HTML. No login, no cookies, no API key. Export to CSV, JSON, Excel, or XML.

LinkedIn's official API requires partner approval, OAuth tokens, and strict rate limits. This scraper reads the public job search pages directly, filtering by date posted, job type, experience level, workplace type, Easy Apply, and minimum salary. It returns each match in one consistent schema, with optional full job descriptions and extracted skills.

Who uses it	What they scrape LinkedIn for
Recruiters	Monitor competitor hiring volumes and job descriptions for specific roles.
Job boards	Aggregate listings from LinkedIn into a centralized search index.
Market analysts	Track which skills and experience levels are in demand by region.
Sales teams	Find companies that are hiring to identify new business opportunities.

What it does

This Actor collects LinkedIn job postings from a search query and location, and returns each one as a flat row with title, company, location, link, and optional full description, salary, skills, and raw HTML.

• 🔍 Search by title and location: Enter a job title, keyword, or company name and a city, state, country, or 'Remote'.
• 📅 Date filters: Limit results to jobs posted in the past 24 hours, past week, or past month.
• 💼 Job type and experience: Filter by full-time, part-time, contract, internship, and more, plus entry level through executive.
• 🏠 Workplace type: Narrow to on-site, remote, or hybrid roles only.
• ✅ Easy Apply only: Return only jobs that accept LinkedIn Easy Apply applications.
• 💰 Minimum salary: Set a USD salary floor at $40k, $60k, $80k, $100k, $120k, $140k, $160k, $180k, or $200k+.
• 📄 Full job details: Fetch complete descriptions, company info, and salary data, or disable for 5-10x faster basic-only runs.
• 🛠️ Skill extraction: Parse and return a list of skills mentioned in each job description.
• 📜 Raw HTML: Include the raw HTML of each job detail page for custom downstream parsing.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with LinkedIn data

📊 Monitor hiring trends.

A market analyst runs the scraper weekly for 'data engineer' in 'United States' to track demand shifts and salary floors by region.

🎯 Build a niche job board.

A job board operator aggregates remote software roles by running daily scrapes for multiple tech titles with the 'Remote' workplace filter.

📈 Prospect companies that are growing.

A sales team scrapes 'sales manager' in their target cities to identify companies with active hiring and reach out with a relevant pitch.

🧠 Analyze skill requirements.

An HR analyst extracts skills from 'product manager' postings across several regions to update internal competency models.

Why choose this scraper

	What you get
No login or cookies	Scrapes public LinkedIn job pages without authentication, so you never risk an account block.
Full detail mode	Optionally fetches the complete job description, company details, salary, and skills from each listing.
Fast basic mode	Disable full details to collect title, company, location, and link 5-10x faster.
Rich filters	Narrow by date posted, job type, experience level, workplace type, Easy Apply, and minimum salary.

How it compares

This Actor offers full job detail scraping, skill extraction, and raw HTML output alongside the core search, while the alternative focuses on search results with company details.

Feature	ParseForge	Linkedin Jobs Search
Full job description scraping	Yes, optional	Not listed
Skill extraction from descriptions	Yes, optional	Not listed
Raw HTML output	Yes, optional	Not listed
Easy Apply filter	Yes	Not listed
Minimum salary filter	Yes	Not listed
Workplace type filter (remote, hybrid, on-site)	Yes	Not listed

Configure the run

Drive the Actor from a search query and location, and filters run as each job is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "searchQuery": "software engineer",
  "location": "United States",
  "maxItems": 10,
  "scrapeJobDetails": true,
  "extractSkills": true,
  "includeBlockedJobs": false,
  "includeRawHtml": false,
  "maxConcurrency": 10
}

A larger pull:

{
  "searchQuery": "software engineer",
  "location": "United States",
  "maxItems": 200,
  "scrapeJobDetails": true,
  "extractSkills": true,
  "includeBlockedJobs": false,
  "includeRawHtml": false,
  "maxConcurrency": 10
}

Pricing

Pay-per-result: $0.399 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$39.90
1,000 results	$399.00
10,000 results	$3,990.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the LinkedIn Jobs Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to LinkedIn through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/linkedin-jobs-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your search query and location combination returns results on LinkedIn.com. Try broadening the location or removing restrictive filters like Easy Apply or a high minimum salary.

Why are some jobs missing full details?

Some LinkedIn job postings block detail access. Enable 'Include Blocked Jobs' to still receive basic info for those listings with an isBlocked=true flag.

The scraper is running slowly. How can I speed it up?

Disable 'Scrape Full Job Details' to switch to basic mode, which is 5-10x faster. You can also increase max concurrency, though this may raise the chance of blocks.

I'm getting blocked or seeing empty results after many runs.

Reduce the max concurrency setting to a lower number, such as 5, to make requests less aggressive and avoid triggering LinkedIn's rate limits.

FAQ

Question	Answer
Do I need a LinkedIn account or API key to use this?	No. The scraper reads public LinkedIn job search pages and requires no login, cookies, or API credentials.
Can I scrape jobs from a specific company?	Yes. Enter the company name in the search query field, and optionally add a location to narrow results to that company's postings.
How many jobs can I collect in one run?	You can set the maximum up to 1,000,000 jobs. The actual number returned depends on how many match your search and filters.
What is the difference between basic and full detail mode?	Basic mode returns title, company, location, and link and runs 5-10x faster. Full detail mode also fetches the job description, salary, skills, and company details.
Can I filter by remote jobs only?	Yes. Set the workplace type filter to 'Remote' to return only jobs listed as remote.
Does this scraper handle LinkedIn's anti-scraping measures?	The Actor runs on Apify's infrastructure with rotating proxies and configurable concurrency. Lower the max concurrency if you encounter blocks.
Can I get the raw HTML of each job page?	Yes. Enable the 'Include Raw HTML' option to receive the full HTML of each job detail page in your output for custom parsing.
How do I extract skills from job descriptions?	Enable the 'Extract Skills' option. The scraper will parse the job description and return a list of skills mentioned.
What export formats are supported?	You can export your dataset to CSV, JSON, Excel, or XML from the Apify platform.
Can I schedule this scraper to run daily?	Yes. Use Apify's scheduler to run the Actor at any interval, such as hourly or daily, to track new postings over time.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.