Scrape Full LinkedIn Job Descriptions from URLs
Apizy
Extract full descriptions and available job criteria from public LinkedIn job URLs. This example uses two postings. Replace them with your own list of up to 50 URLs to get structured rows for the jobs still available on LinkedIn.
Input
Output fields
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The LinkedIn Jobs Scraper [FAST] | Search & Job Details Actor is ready to run with the inputs already set for "Scrape Full LinkedIn Job Descriptions from URLs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Scrape Full LinkedIn Job Descriptions from URLs" 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 mode and job ids or urls (job details), to match your specific use case.
Receive the "Scrape Full LinkedIn Job Descriptions from URLs" 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 Full LinkedIn Job Descriptions from URLs" task via API.

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Scrape Full LinkedIn Job Descriptions from URLs extracts the public job description and available criteria, alongside title, company, location, posting date, and URL.
Scrape Full LinkedIn Job Descriptions from URLs accepts 1–50 public LinkedIn job URLs or job IDs. Replace the sample links before running. Jobs no longer available may return no row.