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Build a salary-aware job corpus

Collect job listings with visible compensation fields for analysis, benchmarking, and source-backed research workflows.

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Glassdoor Jobs Scraper
Glassdoor Jobs Scraperkhadinakbar/glassdoor-jobs-scraper
Job title
Company name
Location
Salary text
+5 fields
Text
Number
Boolean
List
Object

Input

Job search query:nurse practitioner
Job location:Chicago, IL
Requested country:US
Maximum jobs:20
Include jobs without salary:false

Output fields

Job title
Company name
Location
Salary text
Company rating
Date posted
Job URL
Search query
Scraped at

How it works

Sign up on Apify or log in

The Glassdoor Jobs Scraper Actor is ready to run with the inputs already set for "Build a salary-aware job corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a salary-aware job corpus" task

The Glassdoor Jobs Scraper Actor will start running based on the input automatically. You can also change all the input fields, like job search query, job location, and more, to match your specific use case.

Receive the "Build a salary-aware job corpus" 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 name, 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 "Build a salary-aware job corpus" task via API.

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