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LinkedIn Jobs Scraper

Export LinkedIn job listings for any title and location. This example returns software engineer roles in the United States with the hiring company, the location, the posting date, the seniority level and the apply link. Job boards use it to fill a feed, and market researchers use it to measure hiring demand by role.

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LinkedIn Job Search Scraper | Salaries & Seniority
LinkedIn Job Search Scraper | Salaries & Senioritysilentflow/linkedin-jobs-scraper-ppr
Job Title
Company
Location
Seniority
+7 fields
Text
Number
Boolean
List
Object

Input

πŸ”Ž Job Titles:Software Engineer
πŸ“ Locations:United States
Max Results:50

Output fields

Job Title
Company
Location
Seniority
Salary min
Salary max
Currency
Per
Type
Posted
URL

How it works

Sign up on Apify or log in

The LinkedIn Job Search Scraper | Salaries & Seniority Actor is ready to run with the inputs already set for "LinkedIn Jobs Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LinkedIn Jobs Scraper" task

The LinkedIn Job Search Scraper | Salaries & Seniority Actor will start running based on the input automatically. You can also change all the input fields, like πŸ”Ž job titles, πŸ“ locations, and more, to match your specific use case.

Receive the "LinkedIn Jobs Scraper" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as job title, company, location, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "LinkedIn Jobs Scraper" task via API.

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Integrate "LinkedIn Jobs Scraper" into your workflow

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