Pricing

$5.00 / 1,000 jobs

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LinkedIn Jobs Scraper - No Cookies

Try for free

Developed by

API Maestro

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

5.0 (3)

Pricing

$5.00 / 1,000 jobs

Total users

1.2K

Monthly users

226

Runs succeeded

>99%

Issues response

14 hours

Last modified

a month ago

Jobs

Automation

Social media

Pay per result

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for dataset items the Actor outputs.

Learn more

Price per 1,000 jobs

$5.00

Linkedin Job Details (No Cookies)

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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.

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Easy way to get jobs and details

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Effortlessly extract LinkedIn job listings with rich details like title, company, salary, and description—no login required. Freely filter by keyword, location, or other criteria. Perfect for HR tech, talent analytics, and job market research.

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Simply input your desired job titles and location to get a customized list of job opportunities, job titles, job description, job salary, job type, job location complete with company details and links. Start exploring today!

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Streamline your job search and recruitment process with the LinkedIn Scraper. Easily extract detailed listings, application insights, and company profiles. This tool is perfect for recruiters, job seekers, or analysts who want to harness LinkedIn's vast job marketplace data with precision and speed.

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dr.ollie/linkedin-job-scraper---no-login-required-detailed-job-data

Scrapes LinkedIn jobs without login or cookies. In a single run, it fetches title, company, location, posted date, full description, applicant count, and all job criteria (employment type, seniority, function, industries, etc.). Lightweight Python/BS4, no headless browser needed.