Greenhouse Jobs Scraper: Any boards.greenhouse.io Board

Export every open job from Greenhouse job boards (boards.greenhouse.io) as clean, structured data: full descriptions, every location listed on the job, departments, posting dates and apply links, plus salary ranges parsed from the job text, seniority and job function. Many companies in one run. No browser, no proxy, no login.

Why this one

• Name, careers page or board URL. Type Datadog, paste https://www.figma.com/careers/ or https://boards.greenhouse.io/stripe: the Greenhouse board is found for you (also boards embedded on a company's own careers site; EU-hosted boards are not supported).
• Salary that Greenhouse doesn't give you. Greenhouse has no salary field, but pay-transparency ranges sit in the description. They are parsed into salaryMin, salaryMax, salaryCurrency, salaryPeriod (with salarySource: "description").
• Full text, every location, real dates. HTML and plain-text description, all locations a job lists, and the first-published date.
• Filters: keywords (in the title, optionally in the description too), exclude words, location / country, department, remote / hybrid / on-site, seniority, job function, minimum yearly salary.
• Last 24 hours / new jobs only. Filter by publish date, or switch on Only new jobs since last run and schedule it daily: each run returns just the jobs you haven't seen.
• Transparent: a COMPANIES report shows every input, the board it resolved to, open jobs and matched jobs; a HEALTH report flags format changes instead of silently returning nothing.
• Cost control: maxItems is a hard cap, and maxItemsPerCompany stops one huge board from eating your whole run. Only jobs that pass your filters are charged.

Input

{
  "companies": ["https://boards.greenhouse.io/stripe", "Datadog", "https://www.figma.com/careers/"],
  "keywords": ["engineer"],
  "locations": ["Remote", "New York"],
  "postedWithin": "7d",
  "minYearlySalary": 150000,
  "salaryCurrency": "USD",
  "onlyNewSinceLastRun": true,
  "maxItems": 1000,
  "maxItemsPerCompany": 200
}

Where do I find the URL? Open the company's job page; if the address contains greenhouse.io/, copy it. Or just type the company name.

Output

{
  "id": "greenhouse:datadog:6572669",
  "company": "Datadog",
  "title": "AI Research Scientist - Datadog AI Research (DAIR)",
  "department": "Dev Eng",
  "seniority": "mid",
  "jobFunction": "data",
  "locations": ["New York, New York, USA", "Pittsburgh, Pennsylvania, USA"],
  "salaryMin": 320000, "salaryMax": 400000, "salaryCurrency": "USD", "salaryPeriod": "yearly",
  "salarySource": "description",
  "publishedAt": "2025-01-24T14:48:23Z",
  "url": "https://careers.datadoghq.com/detail/6572669/?gh_jid=6572669",
  "descriptionText": "..."
}

Export as JSON, CSV, Excel or via API.

Pricing

Pay per result: $1.50 per 1,000 jobs ($0.0015 each), full description and enrichment included, plus $0.002 per run start. Only jobs that pass your filters are charged.

Need other ATS too?

The same engine also covers Workday, Workable, Teamtailor, BambooHR, Recruitee, Personio and Breezy, with automatic ATS detection from company names: see Career Page Jobs Scraper by datasmithlab.

Notes

• Only public job listings that companies publish are collected. No personal data and no recruiter contact details.
• Boards on Greenhouse's EU hosting are not covered; the public API used here exists for the standard boards only.
• Seniority, job function and description salaries are rule-based and can occasionally be wrong; the original title and text are always included.
• Not affiliated with Greenhouse Software. Use the data in line with applicable laws and each site's terms.
• Found a bug or need a field? Open an issue in the Issues tab.