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Track LinkedIn Job Counts by Keyword and Location

Track how many LinkedIn jobs match any keyword and location, from LinkedIn's own count. This configuration searches registered nurse roles in Texas and returns the results-count caption, the parsed number, and a flag for when that number is capped, on a free row with every search. Run it on a schedule to watch demand move. No login, no cookies.

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LinkedIn Job Scraper | Job Search API, Counts & Autocomplete
LinkedIn Job Scraper | Job Search API, Counts & Autocompletejohnvc/linkedin-job-search-scraper
Search Keywords
Search Location
Results Count Caption
Results Count (parsed)
+2 fields
Text
Number
Boolean
List
Object

Input

Mode(required):search
Keywords:registered nurse
Location:Texas

Output fields

Search Keywords
Search Location
Results Count Caption
Results Count (parsed)
Results Count Is Capped
Search URL

How it works

Sign up on Apify or log in

The LinkedIn Job Scraper | Job Search API, Counts & Autocomplete Actor is ready to run with the inputs already set for "Track LinkedIn Job Counts 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 "Track LinkedIn Job Counts by Keyword and Location" task

The LinkedIn Job Scraper | Job Search API, Counts & Autocomplete Actor will start running based on the input automatically. You can also change all the input fields, like mode, keywords, and more, to match your specific use case.

Receive the "Track LinkedIn Job Counts 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 search keywords, search location, results count caption, 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 "Track LinkedIn Job Counts by Keyword and Location" task via API.

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