Greenhouse Jobs Scraper — export every open role from any Greenhouse careers board

Pull every open job from any company that hosts its careers page on Greenhouse — thousands of clean, structured rows in one run. Give the actor a list of company board tokens (the slug in boards.greenhouse.io/<token>, e.g. stripe, databricks, airbnb) and it returns one tidy row per job: title, company, department, location, disclosed salary range, apply URL and the full job description.

No login, no API key, no browser. Greenhouse publishes a public Job Board API, so this actor is fast and stable — it does not break when a page's layout changes.

What you get (one row per job)

Field	Description
jobId	Greenhouse job id (stable, unique)
internalJobId	Greenhouse internal job id
title	Job title
company	Company name
boardToken	The board this job came from (e.g. stripe)
location	Primary location text (e.g. "San Francisco, CA", "Remote")
offices	All office locations for the role
department	Primary department (e.g. "Engineering")
departments	All departments the role is filed under
salaryMin, salaryMax	Disclosed pay range (in dollars, not cents)
salaryCurrency	Currency of the pay range (USD, EUR, CAD, …)
salaryPeriod	year or hour
payRanges	Every pay zone with its own label/min/max (e.g. "Zone 1", "Zone 2")
requisitionId	Company requisition id
absoluteUrl	Direct link to apply / view the job
firstPublished	When the job was first posted
updatedAt	When the job was last updated
applicationDeadline	Deadline, when set
language	Posting language
descriptionText	Full job description as clean plain text
descriptionHtml	Full job description as HTML
metadata	Any custom fields the company attaches to the posting
scrapedAt	UTC timestamp of the scrape

Input

{
  "boardTokens": ["stripe", "databricks", "airbnb", "figma"],
  "searchTerms": ["engineer", "data", "product"],
  "locationQuery": ["Remote", "New York"],
  "updatedAfter": "2026-06-01",
  "includeDescription": true,
  "maxResults": 5000
}

• boardTokens — the companies to scrape. Paste the bare token (stripe) or a full Greenhouse URL (https://boards.greenhouse.io/stripe, https://job-boards.greenhouse.io/stripe/jobs/123, or the …/embed/job_board?for=stripe link) — the token is extracted for you. One board can hold hundreds of jobs, so a handful of tokens returns thousands of rows. Jobs seen on more than one board are de-duplicated automatically.
• searchTerms (optional) — keep only jobs whose title or department contains any of these words. Leave empty to keep every job.
• locationQuery (optional) — keep only jobs whose location/office matches any of these (e.g. Remote, London, United States).
• updatedAfter (optional) — keep only jobs updated on/after this date (YYYY-MM-DD). Great for repeat runs that pull only fresh roles.
• includeDescription — include the full description (on by default). Turn off for a lighter listing-only dataset.
• maxResults — cap the number of jobs for the run (billed per row).

Finding a board token

Open a company's "See all jobs" / careers page. If the URL is boards.greenhouse.io/<something> or job-boards.greenhouse.io/<something>, that <something> is the token. Many companies embed a Greenhouse board on their own careers site — view the "apply" link; if it points at greenhouse.io, the token is in that link.

Output sample

{
  "jobId": 5364702004,
  "title": "Staff Software Engineer, Payments",
  "company": "Figma",
  "boardToken": "figma",
  "location": "San Francisco, CA",
  "offices": ["San Francisco, CA", "New York, NY"],
  "department": "Engineering",
  "departments": ["Engineering"],
  "salaryMin": 165000,
  "salaryMax": 190000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "payRanges": [
    { "label": "Annual Base Salary Range:", "min": 165000, "max": 190000, "currency": "USD" }
  ],
  "requisitionId": "REQ-1234",
  "absoluteUrl": "https://boards.greenhouse.io/figma/jobs/5364702004",
  "firstPublished": "2026-06-02T08:58:57-04:00",
  "updatedAt": "2026-07-13T14:37:36-04:00",
  "language": "en",
  "descriptionText": "About the role\nFigma is looking for ...",
  "scrapedAt": "2026-07-20T12:00:00+00:00"
}

Use cases

• Recruiting & sourcing — build a live, structured feed of open roles at the companies you care about, refreshed on a schedule.
• Job boards & aggregators — populate a niche job board from dozens of employers' Greenhouse boards without maintaining a scraper per company.
• Market & compensation research — track hiring volume, department mix and disclosed salary ranges across a set of companies over time.
• Sales & recruiting intelligence — spot which teams a company is scaling (e.g. a spike in "Sales" or "Data" roles) as a buying/hiring signal.

FAQ

Do I need a Greenhouse account or API key? No. The actor uses Greenhouse's public Job Board API. You only supply the company board tokens.

How many jobs can I get? Every open job on each board — one board can be hundreds of roles, so a handful of tokens easily returns thousands. Use maxResults to cap a run.

Why do some jobs have no salary? Salary appears only when the company opts into pay transparency on Greenhouse. Many US postings include it; others don't — those rows simply have empty salary fields (they are still returned).

Can I filter to just certain roles or locations? Yes — searchTerms filters by title or department, and locationQuery filters by location/office. Both are optional.

Does it break when a careers page changes design? No. It reads the structured Job Board API, not the HTML page, so it is stable.

How am I billed? Pay per result — you are charged once for each job row returned. Boards that don't exist or fail to load are skipped and never charged.