LinkedIn Applicant Competition Research Dataset

Created by

Chronometrica

Actor

LinkedIn Jobs Scraper

Compare exposed applicant text across a fixed job panel. Returns public job listings. It does not verify hiring outcomes.

Try for free

LinkedIn Jobs Scraperchronometrica/linkedin-jobs-scraper

Job title

Company

Location

Salary

+8 fields

Input

Option 1: Keywords - search jobs:software engineer data analyst product manager

Option 2: LinkedIn search URLs - keep filters

Option 3: Job IDs or job URLs - exact listings

Job listings to collect (shared cap):25

Posted within:7d

Search radius:25

Sort by:relevance

Job type:any

Workplace:any

Experience level:any

Page depth:2

Unique jobs only (remove duplicates):true

Balance keyword coverage:true

Full descriptions and details:true

Delay between requests:500

Output fields

Job title

Company

Location

Salary

Employment type

Workplace

Remote

Posted

Description

Job URL

Search keyword

Scraped at

How it works

Sign up on Apify or log in

The LinkedIn Jobs Scraper Actor is ready to run with the inputs already set for "LinkedIn Applicant Competition Research Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LinkedIn Applicant Competition Research Dataset" task

The LinkedIn Jobs Scraper Actor will start running based on the input automatically. You can also change all the input fields, like option 1: keywords - search jobs, option 2: linkedin search urls - keep filters, and more, to match your specific use case.

Receive the "LinkedIn Applicant Competition Research Dataset" 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 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 "LinkedIn Applicant Competition Research Dataset" task via API.