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Salary Benchmarking - Pay Ranges Normalized to Annual

Collect posted salary ranges across LinkedIn, Indeed, and Glassdoor with every figure converted to an annual amount, so pay is comparable across roles.

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Job Scraper - LinkedIn, Indeed, Glassdoor, Google Jobs & More
Job Scraper - LinkedIn, Indeed, Glassdoor, Google Jobs & Morevero-api/jobs-scraper
Job title
Company
Location
Pay min
+6 fields
Text
Number
Boolean
List
Object

Input

Search keywords:data scientist
Location:United States
Job boards:linkedin+2
Max results per board:50
Normalize salaries to annual:true
Full job details:true

Output fields

Job title
Company
Location
Pay min
Pay max
Currency
Pay period
Pay source
Seniority
Job URL

How it works

Sign up on Apify or log in

The Job Scraper - LinkedIn, Indeed, Glassdoor, Google Jobs & More Actor is ready to run with the inputs already set for "Salary Benchmarking - Pay Ranges Normalized to Annual". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Salary Benchmarking - Pay Ranges Normalized to Annual" task

The Job Scraper - LinkedIn, Indeed, Glassdoor, Google Jobs & More Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, location, and more, to match your specific use case.

Receive the "Salary Benchmarking - Pay Ranges Normalized to Annual" 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 "Salary Benchmarking - Pay Ranges Normalized to Annual" task via API.

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