Scrape remote jobs on LinkedIn
Export current remote job openings from LinkedIn by keyword — company, title, salary, posted date and direct apply link as structured data.
Input
Output fields
Sign up on Apify or log in
The LinkedIn Job Search Scraper — Job Postings & LinkedIn Salary Actor is ready to run with the inputs already set for "Scrape remote jobs on LinkedIn". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Scrape remote jobs on LinkedIn" task
The LinkedIn Job Search Scraper — Job Postings & LinkedIn Salary Actor will start running based on the input automatically. You can also change all the input fields, like 1. choose operation mode, job keywords, and more, to match your specific use case.
Receive the "Scrape remote jobs on LinkedIn" 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 company logo url, company name, job title, 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 remote jobs on LinkedIn" task via API.
Replace the demo keyword Software Engineer with your role and keep Workplace type set to Remote. The task returns postings LinkedIn marks as remote, with company, salary when listed and the job link.
Yes. Select both Remote and Hybrid in Workplace type, or leave it empty to include on-site roles too.
Yes. The demo searches the United States; choose another country, state or city in the location fields. LinkedIn's location filter is loose, so a few rows from nearby markets may still appear.
No. You don't connect a LinkedIn account and there is nothing to log in to. The task reads public LinkedIn job postings only.
Yes. Open the task in Apify Console and add a schedule. Each run saves its own dataset, so comparing today's results with yesterday's shows the new postings.
Yes. When the run finishes, open the Output tab and download the jobs as CSV, Excel or JSON, or read the same dataset through the Apify API.