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Remote LinkedIn jobs across European cities, last 24 hours

One run, several locations: remote-tagged jobs posted in the last 24 hours across London, Berlin and Amsterdam, newest first. Each row has the full description, seniority, applicant count, salary when listed and company hiring signals. Add or swap cities in the locations input.

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LinkedIn Jobs Scraper | Full Description, Salary & Applicants
LinkedIn Jobs Scraper | Full Description, Salary & Applicantstactful_anvil/linkedin-jobs-full-details-scraper
Title
Company
Location
Posted
+9 fields
Text
Number
Boolean
List
Object

Input

Keywords:product manager
Locations (multi-market):London, United Kingdom+2
Workplace type:remote
Posted within:24h
Sort by:date
Max jobs per search (charged rows):60

Output fields

Title
Company
Location
Posted
Base pay
Applicants
Seniority
Type
Function
Remote
Benefits
URL
Company URL

How it works

Sign up on Apify or log in

The LinkedIn Jobs Scraper | Full Description, Salary & Applicants Actor is ready to run with the inputs already set for "Remote LinkedIn jobs across European cities, last 24 hours". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Remote LinkedIn jobs across European cities, last 24 hours" task

The LinkedIn Jobs Scraper | Full Description, Salary & Applicants Actor will start running based on the input automatically. You can also change all the input fields, like keywords, locations (multi-market), and more, to match your specific use case.

Receive the "Remote LinkedIn jobs across European cities, last 24 hours" 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 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 "Remote LinkedIn jobs across European cities, last 24 hours" task via API.

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