Greenhouse Jobs Scraper: Job Boards & Postings

Scrape Greenhouse jobs from any Greenhouse job board or company careers site built on Greenhouse: every job posting with title, department, location, pay range, posted date, full description and apply URL, filtered by keyword, location or department. Public API, no login or key needed.

Paste a board link such as https://job-boards.greenhouse.io/figma or a company careers page, and the actor reads the board through Greenhouse's public Job Board API, the same feed the company's own careers page loads. One request returns the whole board, descriptions included, so a run with a few boards finishes in seconds and costs a fraction of a cent per job. Typical uses: job alerts for target companies, hiring signals for sales and recruiting (who is hiring which roles, where, at what pay), salary benchmarking, feeding a job board, a CRM or an LLM pipeline.

What data does Greenhouse Jobs Scraper extract?

Field	Description
jobId	Stable unique id greenhouse:<board>:<job id>, e.g. greenhouse:figma:5426468004
atsJobId, requisitionId	Greenhouse's own job id and the company's requisition number (when published)
ats, companyName, companySlug, careerSiteUrl	Always greenhouse; the company name as the board reports it, the board token and the board URL
title, department	Job title and the Greenhouse department(s) the job is filed under
location, locations, offices	Location as the company writes it, split into a list for multi-location jobs, plus the names of the Greenhouse offices the job belongs to
country, countryCode	Country read from the location or office text (ISO 3166 alpha-2)
isRemote, isHybrid, workplaceType	remote / hybrid when the location, the title or a custom field says so
employmentType	Only when the company publishes it as a custom field: Greenhouse has no standard field for it
salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod, salarySource	Pay range from the posting's pay-transparency block (salarySource: "ats", e.g. $160,000 – $200,000 USD (Base Salary)) or from the first pay range written in the description ("description")
postedAt, updatedAt	First published and last updated (UTC, ISO 8601)
language, metadata	Posting language and the board's custom fields that carry a value, e.g. {"Careers Site Department": "Product Engineering"}
url, applyUrl	The job page on the Greenhouse board; the application form is on the same page
description, descriptionHtml	Full posting as readable text (headings, bullets) and as HTML, with Include full job description (on by default)
sourceUrl, scrapedAt	Which input produced the job, and when
changeType	new in monitoring mode (see below)

How to scrape Greenhouse jobs

1. Paste links into Greenhouse board or careers page URLs: board links (https://job-boards.greenhouse.io/figma, https://boards.greenhouse.io/figma), a single job link (the whole board is scraped), an embedded board link (...greenhouse.io/embed/job_board?for=figma), or the company's own careers page (https://www.figma.com/careers). Or list board tokens under Board tokens: figma, discord, airbnb.
2. Optional filters: Title keywords, Locations, Departments, Remote jobs only, Posted within (days), Max jobs per board.
3. Click Start. Jobs appear in the Output tab, newest first per board; export JSON, CSV or Excel, or read them through the API.

The run's SUMMARY record (Storage → Key-value store) lists, per input, which board was found, how many jobs it listed, how many matched the filters and how many were saved, plus any tokens that do not exist (boardsNotFound) and sites where no Greenhouse board was found.

Input example

{
  "startUrls": [
    { "url": "https://job-boards.greenhouse.io/figma" },
    { "url": "https://www.discord.com/careers" }
  ],
  "boards": ["airbnb", "eu/bitpanda"],
  "keywords": ["engineer", "data scientist"],
  "locations": ["San Francisco", "Remote"],
  "postedWithinDays": 30,
  "includeDescription": true,
  "maxItemsPerCompany": 50,
  "maxItems": 200
}

Output example

{
  "jobId": "greenhouse:discord:8840756002",
  "atsJobId": "8840756002",
  "ats": "greenhouse",
  "companyName": "Discord",
  "companySlug": "discord",
  "title": "Data Scientist - Client Platform",
  "department": "Data Science & Engineering",
  "location": "San Francisco Bay Area",
  "locations": ["San Francisco Bay Area"],
  "offices": ["San Francisco, CA"],
  "country": "United States",
  "countryCode": "US",
  "isRemote": false,
  "isHybrid": false,
  "workplaceType": null,
  "employmentType": null,
  "salaryText": "$160,000 – $200,000 USD (Base Salary)",
  "salaryMin": 160000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "salarySource": "ats",
  "postedAt": "2026-09-24T21:26:49Z",
  "updatedAt": "2026-10-21T00:14:41Z",
  "requisitionId": "R-107434",
  "language": "en",
  "metadata": null,
  "url": "https://job-boards.greenhouse.io/discord/jobs/8840756002",
  "applyUrl": "https://job-boards.greenhouse.io/discord/jobs/8840756002",
  "careerSiteUrl": "https://job-boards.greenhouse.io/discord",
  "description": "Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that nearly everyone does: play video games. ...",
  "descriptionHtml": "<div class=\"content-intro\"><p>Discord has a highly engaged community of millions of daily active users ...",
  "sourceUrl": "https://job-boards.greenhouse.io/discord",
  "scrapedAt": "2026-11-01T12:00:00Z"
}

Which Greenhouse URLs work?

• Board pages: https://job-boards.greenhouse.io/<token> and the older https://boards.greenhouse.io/<token>; the token is the company's name in that URL.
• Job pages on those hosts (.../figma/jobs/5426468004): the whole board is scraped, and filters narrow it down.
• Embedded boards that companies place on their own sites: https://boards.greenhouse.io/embed/job_board?for=<token> and .../embed/job_app?for=<token>, as well as the API URL https://boards-api.greenhouse.io/v1/boards/<token>/jobs.
• EU-hosted boards (https://job-boards.eu.greenhouse.io/<token>, used by companies in Greenhouse's European data centre): supported; they are served by the same public API. In Board tokens, write them as eu/<token> so the job links point to the EU host.
• Company careers pages and homepages (https://www.figma.com/careers): the actor opens the page, looks for Greenhouse links, iframes and embed scripts, and if the homepage has none it follows the "Careers" link and tries /careers and /jobs (at most 4 pages per site). Sites whose jobs are not on Greenhouse are reported in SUMMARY and cost nothing. For companies on Lever, Ashby, Workday, Workable, SmartRecruiters, Recruitee, Personio or Teamtailor, use our Career Site Jobs Scraper, which returns the same core fields.

Does it need a login or API key?

No. Greenhouse's Job Board API is public by design: it is how companies show their open jobs on their own websites, and Greenhouse's documentation states that no authentication is required for reading it. The actor sends one request per board, reads only published job postings, and never touches internal jobs, candidate data or anything behind a login. No proxy, browser or CAPTCHA solving is involved, which is why runs are fast and stable.

Monitor new Greenhouse jobs on a schedule

Turn on Only new jobs (monitoring), save the input as a task and give it a Schedule in Apify Console (for example every morning). Each run remembers the jobs that earlier runs of the same input returned and outputs only the jobs that are new since then, marked changeType: "new"; jobs seen before are neither output nor charged. With Max jobs per board, monitoring watches that many newest jobs per board. Use Monitoring key to keep several schedules on the same boards apart. This is the cheapest way to get job alerts or hiring signals for a list of target companies.

Pricing

Pay per job, no subscription: $0.0015 per job saved, with every field above and the full description included. 1,000 jobs cost $1.50; the price includes the platform usage of the run. Jobs removed by your filters, boards that do not exist and jobs already seen in monitoring mode are not charged. Apify's free plan is enough to try it.

Is it legal to scrape Greenhouse job boards?

The actor reads only job postings that companies publish openly on their Greenhouse boards through the public Job Board API: public, non-personal business data. It does not log in, does not collect candidate or employee data, and does not access anything hidden or internal. A recruiter's name that a company prints inside a posting stays part of that posting's description. You are responsible for how you use the data and for complying with the sites' terms and applicable law (for example the GDPR).

Integrations and API

Use the results in Make, Zapier, n8n, Google Sheets, Airtable or your CRM, or call the actor from Python or Node.js with the Apify client (see the API tab). A Schedule plus monitoring gives you a daily feed of new jobs at your target companies.

Support

A board, field or company that does not work? Open an issue in the Issues tab; it is usually answered within a day.

Related scrapers

• Lever Jobs Scraper: Job Boards & Postings
• Ashby Jobs Scraper: Job Boards & Postings
• Workday Jobs Scraper: Company Career Sites
• Career Site Jobs Scraper: Greenhouse, Lever, Workday & Ashby

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