Greenhouse Jobs Scraper: All Jobs from Any Greenhouse Board
Pricing
from $1.00 / 1,000 jobs
Get every open job from any Greenhouse job board, live from the source. Enter board names or URLs and get clean jobs with salary, remote type, country and seniority. Track new and closed jobs. No minimum, pay per job.
One per line: a Greenhouse board name (stripe), a board URL (https://job-boards.greenhouse.io/stripe, https://boards.greenhouse.io/stripe) or an embed URL (.../embed/job_board?for=stripe). A company domain (stripe.com) also works if the board uses the company name.
Keep jobs whose title contains at least one of these words, e.g. "data", "sales", "werkstudent". Whole words: "java" does not match "JavaScript". Add * for word starts: "engineer*" also matches "Engineering". Empty = all jobs.
Drop jobs whose title contains any of these words, e.g. "intern", "praktikum".
Keep jobs in any of these places. Use a country code (DE, US), a country (Germany) or a city (Berlin). Empty = worldwide.
Keep only remote, hybrid or on-site jobs. Jobs where the ATS gives no workplace type are dropped when this filter is set.
Keep jobs whose department or team contains one of these words, e.g. "engineering", "sales".
Keep jobs published in the last N days. 0 = any date. Jobs without a publish date are dropped when this is set.
Keep only jobs with a salary range (from the ATS or found in the job description).
Remembers which jobs it has seen for this board list and these filters. The first run returns all jobs, every later run only new ones, so you pay only for new jobs. Perfect for a daily schedule.
With "Only new jobs" enabled: also add a free row for every job that disappeared since the last run (recordType "closed-job").
Name for the saved state, e.g. "sales-leads-dach". Leave empty to derive it from the board list and filters. Use the same name in several tasks to share one state.
Full job description as plain text. Turn off for smaller, faster results; salary detection still uses the description.
Many companies post one role once per city. Merge them into one row with all locations (duplicateIds lists the merged job IDs).
