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Greenhouse Job Board, Salaries & Tech Stack Scraper

Extract open job postings, compensation ranges, department breakdowns, and enterprise tech stack signals directly from Greenhouse job boards.

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Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stack
Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stackstoreintel/greenhouse-lever-ashby-jobs-scraper
Record type
Company
ATS
Job Title
+9 fields
Text
Number
Boolean
List
Object

Input

Company Board URLs or Slugs:https://boards.greenhouse.io/stripe+1
Max Jobs per Company:15
Remote Jobs Only:false

Output fields

Record type
Company
ATS
Job Title
Department
Location
Remote
Compensation
Salary min
Salary max
Detected Tech Stack
Published / Updated
Job URL

How it works

Sign up on Apify or log in

The Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stack Actor is ready to run with the inputs already set for "Greenhouse Job Board, Salaries & Tech Stack Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Greenhouse Job Board, Salaries & Tech Stack Scraper" task

The Greenhouse, Lever & Ashby Scraper: Jobs, Salary & Tech Stack Actor will start running based on the input automatically. You can also change all the input fields, like company board urls or slugs, max jobs per company, and more, to match your specific use case.

Receive the "Greenhouse Job Board, Salaries & Tech Stack Scraper" 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 record type, company, ATS, 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 "Greenhouse Job Board, Salaries & Tech Stack Scraper" task via API.

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Integrate "Greenhouse Job Board, Salaries & Tech Stack Scraper" into your workflow

Connect "Greenhouse Job Board, Salaries & Tech Stack Scraper" with 100+ integrations, or run it via API or MCP.

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Frequently asked questions

It extracts normalized job titles, departments, office/remote locations, parsed salary ranges, application URLs, and 80+ detected B2B tech stack keywords.

Yes, you can filter by title/department keyword (e.g. 'Engineer', 'Security', 'Sales') and toggle Remote Jobs Only.