Jobs Scraper for LinkedIn - No Cookies

Pricing

$5.00 / 1,000 jobs

Jobs Scraper for LinkedIn - No Cookies

Extract LinkedIn jobs data including description, titles, company info, application details... Features advanced filtering by location, experience, job type, and Easy Apply status.

Pricing

$5.00 / 1,000 jobs

Rating

3.3

(8)

Developer

API Maestro

Maintained by Community

Actor stats

107

Bookmarked

2.6K

Total users

208

Monthly active users

2.7 hours

Issues response

a day ago

Last modified

Configure MCP server with LinkedIn Jobs Scraper API – No Login, Advanced Search

Get a ready-to-use configuration for your MCP client with the LinkedIn Jobs Scraper API – No Login, Advanced Search Actor preconfigured at mcp.apify.com?tools=apimaestro/linkedin-jobs-scraper-api .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

⚡️Rapid Linkedin Jobs Scraper | Free Jobs Scraper

worldunboxer/rapid-linkedin-scraper

Free LinkedIn job scraper tool to extract job listings, company details, and complete job information instantly. Scrape LinkedIn jobs by keywords, location, or company. Get structured data including titles, descriptions, salaries, requirements, and employer info. Fast, efficient job data extraction.

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Job Details Scraper for LinkedIn (No Cookies)

apimaestro/linkedin-job-detail

Extract comprehensive LinkedIn job details including full description, company information, salary insights, and application statistics. Get detailed data from any LinkedIn job ID.

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Linkedin Jobs Scraper - PPR

curious_coder/linkedin-jobs-scraper

Scrape jobs from linkedin jobs search results along with company details. Get key information to find contact info

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LinkedIn Job Scraper

crawlworks/linkedin-jobs-scraper

Scrape job listings from LinkedIn.com including title, company, location, and posting details. Fast, reliable LinkedIn jobs data scraper for hiring, research, and analytics.

Crawlworks

157

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Affordable Linkedin Jobs Scraper by url (No cookies)

sbzh/affordable-linkedin-jobs-scraper-by-url-no-cookies

With this LinkedIn jobs scraper, get available LinkedIn jobs offers in real-time, including publishers information when available. Simply paste the URL of your LinkedIn search and the scraper will retrieve all the offers by browsing through the different pages. Very affordable LinkedIn jobs scraper.

Sambzh

LinkedIn Jobs Scraper – Fast & Affordable

practicaltools/linkedin-jobs

The most affordable LinkedIn job scraper on Apify. Extract 1,000+ jobs in minutes, including full details (title, company, location, description, link). Pay-as-you-go, no cookies, no hassle.

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Advanced Linkedin Job Scraper

curious_coder/linkedin-jobs-search-scraper

Scrape linkedin job postings and get company and recruiter details. Supports boolean search and other advanced search filters. Success rate is > 98%

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🔥 LinkedIn Jobs Scraper

bebity/linkedin-jobs-scraper

ℹ️ Designed for both personal and professional use, simply enter your desired job title and location to receive a tailored list of job opportunities. Try it today!

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21K

3.9

🔥 LinkedIn Jobs Scraper – Multiple Titles & Locations in One!

lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one

This LinkedIn Job Scraper allows you to extract job listings across multiple job titles and locations: 🔍 Key Features: Input multiple job titles (e.g. "Software Engineer", "Data Analyst") Input multiple locations (e.g. "London", "New York", "Berlin") Filters by work type: On-site, Remote, Hybrid

LNTB

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LinkedIn Jobs Scraper | Remove Duplicate Jobs | Pay Per Result

cheap_scraper/linkedin-job-scraper

LinkedIn Jobs Scraper | Remove Duplicate Jobs. The LinkedIn jobs scraper allows you to collect jobs in 2 ways: By providing one or more start URLs, or By entering multiple keywords, search queries. You can use either method individually or combine both.