Scrape LinkedIn Jobs by Keyword and Location
Apizy
Search public LinkedIn software engineer jobs in the United States posted in the past week. Get each job title, company, location, posting date, and URL as structured data. Change the keyword or location to search another role.
Input
Output fields
Sign up on Apify or log in
The LinkedIn Jobs Scraper [FAST] | Search & Job Details Actor is ready to run with the inputs already set for "Scrape LinkedIn Jobs by Keyword and Location". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Scrape LinkedIn Jobs by Keyword and Location" task
The LinkedIn Jobs Scraper [FAST] | Search & Job Details Actor will start running based on the input automatically. You can also change all the input fields, like keywords (search), location (search), and more, to match your specific use case.
Receive the "Scrape LinkedIn Jobs by Keyword and Location" 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 id, title, company, 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 "Scrape LinkedIn Jobs by Keyword and Location" task via API.

Integrate "Scrape LinkedIn Jobs by Keyword and Location" into your workflow
Connect "Scrape LinkedIn Jobs by Keyword and Location" with 100+ integrations, or run it via API or MCP.
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Scrape LinkedIn Jobs by Keyword and Location returns job titles, companies, locations, posting dates, and public LinkedIn job URLs. Each matching job is a separate Dataset row.
Scrape LinkedIn Jobs by Keyword and Location reads public LinkedIn job listings without a LinkedIn login. You can change the keyword, location, date range, and maximum jobs before running it.