Greenhouse Job Board Scraper

hipersoft/greenhouse-scraper

Scrape all open jobs from any company's Greenhouse job board: title, location, department, office, full description, apply link and dates. Bulk company input.

Run this scraper →See the API call

Total users

Monthly users

Total runs

104

Per job scraped

$0.0017

Last rebuilt

Oct 28, 2026

Overview

Scrape every open job from any company that hosts its careers page on Greenhouse — title, location, department, office, full description, apply link and dates — into clean JSON, CSV, Excel or XML. Give it one or many company boards and get a complete, deduplicated job feed. Fast and reliable.

Greenhouse Job Board Scraper input — companies, includeContent and maxJobsPerCompany in the Apify Console

What does Greenhouse Job Board Scraper do?

The Greenhouse Job Board Scraper collects all open roles from the companies you list and exports each job as a structured record. Pass one or many Greenhouse board tokens or board URLs, choose whether to include full descriptions, and it returns a clean, deduplicated feed of jobs with titles, locations, departments, offices, apply links and publish dates.

What data can you scrape from Greenhouse?

Data	Fields
🏢 Company	board token, company name
📋 Job	job ID, title, location, department(s), office(s)
🔗 Apply	direct apply URL, requisition ID
🗓️ Dates	first published, last updated, application deadline
📝 Content	full description (plain text) and original HTML

Use cases

Job aggregators — feed thousands of live roles from company career pages into your board.
Recruiting intelligence — track who's hiring, for which teams, and where.
Hiring-trend analysis — monitor headcount growth by department and office over time.
Sales & lead lists — spot companies expanding into a function you sell to.
ATS / market monitoring — watch competitor and target-account hiring in near real time.
Talent sourcing — build role-specific feeds for candidates and recruiters.

How to scrape Greenhouse data

Add the Greenhouse Job Board Scraper to your Apify account.
Add one or many companies — a Greenhouse board token (the slug in boards.greenhouse.io/<token>) or a full board URL.
Toggle includeContent and set maxJobsPerCompany to control depth.
Click Run and watch jobs stream into the dataset.
Export to JSON, CSV, Excel or XML, or pull them through the Apify API.

Input

List the boards you want, choose whether to include full descriptions, and cap jobs per company if needed.

Example input

{
  "companies": ["stripe", "databricks", "https://boards.greenhouse.io/airbnb"],
  "includeContent": true,
  "maxJobsPerCompany": 0
}

companies accepts a Greenhouse board token (the slug in boards.greenhouse.io/<token>) or a full board URL.

Field	Description
`companies`	Greenhouse board tokens or board URLs to scrape.
`includeContent`	Include each job's full description (text + HTML). Default true.
`maxJobsPerCompany`	Cap jobs per company. 0 = all.

Output

Each job is one clean record:

{
  "board": "stripe",
  "companyName": "Stripe",
  "jobId": 7954688,
  "title": "Account Executive, AI Sales",
  "location": "San Francisco, CA",
  "departments": ["Account Executives"],
  "offices": ["San Francisco"],
  "updatedAt": "2026-07-28T12:03:00-04:00",
  "firstPublished": "2026-07-01T09:00:00-04:00",
  "applicationDeadline": "2026-08-31",
  "requisitionId": "REQ-4821",
  "applyUrl": "https://stripe.com/jobs/search?gh_jid=7954688",
  "description": "About the team…",
  "contentHtml": "<div>About the team…</div>"
}

Greenhouse Job Board Scraper output example — job title, department and apply link as structured JSON

Output schema

Field	Type	Description
`board`	string	Greenhouse board token (slug) the job came from.
`companyName`	string	Company name for the board.
`jobId`	integer	Unique Greenhouse job posting ID.
`title`	string	Job title.
`location`	string	Job location as posted.
`departments`	array	Department(s) the role belongs to.
`offices`	array	Office(s) associated with the role.
`updatedAt`	string (ISO date)	When the posting was last updated.
`firstPublished`	string (ISO date)	When the posting was first published.
`applicationDeadline`	string	Application deadline, when provided.
`requisitionId`	string	Employer's internal requisition ID, when provided.
`applyUrl`	string (URL)	Direct link to apply for the role.
`description`	string	Full job description as plain text.
`contentHtml`	string	Original job description HTML.

Need more job data?

Lever Job Board Scraper — jobs from Lever-hosted boards.
Ashby Job Board Scraper — jobs from Ashby boards.
RemoteOK Scraper — remote job listings.
Indeed Scraper — jobs across employers.

FAQ

Where do I find a company's board token? It's the slug in the careers URL — boards.greenhouse.io/stripe → stripe. You can paste the full URL too.

How many companies can I scrape? As many as you like — add them all to companies and each is fetched in turn.

Do I need any setup or a login? No setup and no login. Just add the boards you want and run.

How does billing work? You pay only per job you get — no subscription. Our per-item price floors 20% below the cheapest comparable scraper.

What export formats are supported? JSON, CSV, Excel and XML, plus the Apify API for programmatic access.

Can I skip the long descriptions? Yes — set includeContent to false for a lighter, faster run that omits the description text and HTML.

How fresh is the data? Each run fetches live postings, so results reflect each board at the moment you run the actor. The updatedAt field timestamps every job.

Is it legal? The actor returns only publicly available job postings. You are responsible for how you use the data.

Can I connect it to my other tools? The Greenhouse Job Board Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Original clean-room implementation. Returns only public job-posting data; you are responsible for how you use it. Not affiliated with or endorsed by Greenhouse.

Input

Field	Type	Description
`companies` required Companies	array	Greenhouse board tokens or board URLs — e.g. "stripe", "airbnb", or https://boards.greenhouse.io/stripe. Add as many as you like.
`includeContent` Include full description	boolean	Include each job's full description (plain text + HTML). Turn off for a lighter, faster listing. Default: `true`
`maxJobsPerCompany` Max jobs per company	integer	Limit jobs collected per company. 0 = all. Default: `0`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~greenhouse-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "companies": [
    "stripe"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/greenhouse-scraper").call(run_input={
    "companies": [
        "stripe"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/greenhouse-scraper').call({
  "companies": [
    "stripe"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped One job posting scraped.	$0.0017	$0.0008
API request One company board fetched.	$0.0005	$0.0005

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

Related scrapers

Dribbble Shots Scraper

Scrape public design shots from Dribbble: title, high-res image, tags, likes, views and designer credit. Filter by category or sort, export JSON, CSV or Excel.

359 runs · 5 users · $0.003 / shot scraped

Computrabajo Scraper

Scrape Computrabajo job listings across Latin America (Mexico, Colombia, Argentina, Chile, Peru and more): title, company, location, salary, posted date and apply URL. Filter by country and keyword. No setup.

206 runs · 4 users · $0.002 / listing scraped

Kraken Market Data Scraper

Fetch Kraken spot market data in bulk: ticker stats (ask, bid, last, 24h high/low/volume/vwap), OHLC candles for any interval, order book depth (top bids/asks), and tradable pair metadata. Fast, clean and cheap.

165 runs · 4 users · $0.001 / pair scraped

Bayt Scraper

Scrape Bayt.com job listings across the Middle East (UAE, Saudi Arabia, Egypt, Qatar and more): title, company, location, posted date and apply URL. Filter by country and keyword.

134 runs · 4 users · $0.003 / job scraped

GitHub Scraper

Search GitHub and scrape repositories (stars, forks, language, topics, license, dates) or user profiles (name, company, location, bio, followers, public email, repos). Uses the GitHub REST API; optional token for higher rate limits. For developer lead generation, OSS research and recruiting.

131 runs · 7 users · $0.0008 / item scraped

Hacker News Scraper

Scrape Hacker News stories, comments, Ask HN, Show HN, jobs and polls by keyword, points, comments and date range. Sort by relevance or newest. Title, URL, author, points, comment count, text and HN link. Fast clean HTTP via the HN Algolia API, no setup.

130 runs · 2 users · $0.004 / item scraped

Need a source that isn't here?

Send the site and the fields. We build it and you get it first.

Request a build