Greenhouse Jobs Scraper

Greenhouse ATS Jobs Scraper — Track Hiring at 10,000+ Companies

Pull every open job from any company's Greenhouse ATS board — title, location, department, posted date, full description, and apply URL — without scraping their flaky careers page or stitching together aggregator data. Hand it a list of company slugs (airbnb, stripe, coinbase, ...) and get back a clean, structured dataset.

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Why Scrape Greenhouse?

Greenhouse is the applicant-tracking system (ATS) behind the public /careers and /jobs/* pages of roughly 10,000+ mid-market and enterprise employers — Airbnb, Stripe, DoorDash, Coinbase, Pinterest, Robinhood, and most well-funded YC and Series A-D startups. Their job boards live at boards.greenhouse.io/<company> or behind a custom subdomain that proxies to Greenhouse.

If you want to monitor who is hiring for what, when, and where, Greenhouse is one of the highest-signal sources on the internet. But getting that data into a database is harder than it looks:

• Each company customizes its careers page — different layouts, different filters, different department naming.
• Many embed the Greenhouse iframe inside their corporate site, which breaks naive scraping.
• Bulk job aggregators (Indeed, LinkedIn) re-host stale snapshots with missing fields and delayed updates.
• The official Greenhouse Job Board API requires per-company tokens and gives you no easy way to monitor hundreds of companies in one pass.

This actor handles all of it. Give it the company slugs you care about; get back fresh, structured job records every time it runs.

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What Data You Get

Each job record returns a structured object with:

• Company — the Greenhouse board slug (e.g. stripe, airbnb)
• Title — the job title (e.g. Senior Backend Engineer)
• Location — city/region/remote text exactly as the company posts it
• Department — internal department/team name (e.g. Engineering, Sales — North America)
• URL — direct link to the job application page
• Description — full plain-text job description (responsibilities, requirements, comp band when posted)
• Posted date — when the listing went live (when Greenhouse exposes it)
• Job ID — Greenhouse's internal identifier, useful for de-duping across runs

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Use Cases

1. Recruiter intelligence and candidate sourcing Build a watchlist of target employers. Get a daily diff of new openings in your target roles — frontend, ML, sales, product — across hundreds of companies in one pull.

2. Sales prospecting (find companies hiring for X) Looking for companies actively building data teams? Cybersecurity? AI infra? Filter the dataset by job title or department to surface in-market accounts with budget and intent. Pair it with revenue/funding data for tier-1 outbound lists.

3. Competitive hiring analysis Track which roles a competitor is opening. New VP of Sales? Three open SRE roles? They're scaling. A whole new "Platform" department? They're rebuilding. Hiring is a leading indicator of strategy.

4. Market and sector trend research Pull every company in a vertical and roll up by department, location, or seniority. Spot whether the AI agents space is hiring researchers or shipping engineers. Spot whether fintech is bringing back compliance hiring.

5. Talent-market and compensation research For HR analytics teams: aggregate roles by city, function, and seniority over time to track local labor demand and benchmark openings.

6. Investor due-diligence For VCs: monitor portfolio companies' hiring pace as a proxy for execution. Build comp tables across stage and sector from public job descriptions.

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How to Use

1. Open the actor on Apify: apify.com/cryptosignals/greenhouse-jobs-scraper
2. Click Try for free — no credit card required for small runs.
3. Paste the Greenhouse company slugs you want to monitor. The slug is the part after boards.greenhouse.io/ in the company's careers URL. For example:
   • https://boards.greenhouse.io/airbnb → slug airbnb
   • https://boards.greenhouse.io/stripe → slug stripe
   • https://boards.greenhouse.io/coinbase → slug coinbase
4. Set Max jobs per company (default 100, up to 5000).
5. Click Start and download results as JSON, CSV, Excel, or pull them programmatically via the Apify API.

Tip: if a company's careers page lives at careers.example.com/jobs/* and you can't tell which Greenhouse slug it uses, view the page source — most embeds include the slug in an iframe src or a boards.greenhouse.io/<slug> link in the network tab.

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Input Parameters

Parameter	Type	Required	Description
companies	array of strings	Yes	List of Greenhouse board slugs to scrape (e.g. ["airbnb", "stripe", "coinbase"]).
maxJobsPerCompany	integer (1–5000)	Optional	Cap the number of jobs per company. Default 100.

Example input

{
  "companies": ["airbnb", "stripe", "coinbase", "pinterest", "robinhood"],
  "maxJobsPerCompany": 500
}

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Output Example

[
  {
    "company": "stripe",
    "id": "5012345",
    "title": "Senior Software Engineer, Payments",
    "location": "San Francisco, CA / Remote (US)",
    "department": "Engineering — Payments",
    "url": "https://boards.greenhouse.io/stripe/jobs/5012345",
    "postedDate": "2026-04-22",
    "description": "About Stripe\nStripe is a financial infrastructure platform... \n\nWhat you'll do\n- Design and ship payment systems handling billions of dollars...\n- Partner with product, design, and other engineering teams...\n\nWhat we're looking for\n- 5+ years of backend engineering experience\n- Strong track record building distributed systems..."
  },
  {
    "company": "airbnb",
    "id": "6678901",
    "title": "Staff Machine Learning Engineer, Trust",
    "location": "Seattle, WA",
    "department": "Trust",
    "url": "https://boards.greenhouse.io/airbnb/jobs/6678901",
    "postedDate": "2026-04-25",
    "description": "Airbnb was born in 2007...\n\nThe Difference You Will Make\n- Lead ML system design for fraud and risk models...\n- Mentor senior ICs and partner with product on trust strategy..."
  }
]

Datasets can be exported as JSON, CSV, XML, or Excel from the Apify console, or fetched programmatically via the dataset API.

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Calling the Actor Programmatically

cURL

curl -X POST "https://api.apify.com/v2/acts/cryptosignals~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companies": ["airbnb", "stripe", "coinbase"],
    "maxJobsPerCompany": 200
  }'

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("cryptosignals/greenhouse-jobs-scraper").call(run_input={
    "companies": ["airbnb", "stripe", "coinbase"],
    "maxJobsPerCompany": 200,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["company"], "—", item["title"], "—", item.get("location"))

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('cryptosignals/greenhouse-jobs-scraper').call({
    companies: ['airbnb', 'stripe', 'coinbase'],
    maxJobsPerCompany: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Pulled ${items.length} jobs`);

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Pricing

This actor uses Pay-per-event — you only pay for results scraped, not for compute time or failed runs.

• Cost: $0.005 per job result.
• Free tier: Apify's free plan includes $5/month of platform credits — enough to pull ~1,000 jobs to try it out.
• Typical run: 5 companies × 200 jobs = 1,000 jobs → about $5.
• Daily monitoring of 50 companies: about ~$1–$3 per day depending on how active their boards are.

See full Apify pricing →

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FAQ

Is scraping Greenhouse legal?

Public Greenhouse job boards are designed to be indexed and shared — that's their entire purpose. Scraping publicly visible data is generally considered lawful in many jurisdictions. The U.S. Ninth Circuit's hiQ v. LinkedIn decision (2022) affirmed that scraping publicly accessible data does not violate the Computer Fraud and Abuse Act. This actor only collects data from publicly visible Greenhouse board pages — no logins, no paywalls, no private endpoints. Always consult your own legal counsel for your specific use case.

How do I find a company's Greenhouse slug?

Go to the company's careers page. If the URL contains boards.greenhouse.io/<slug>, that's it. If they have a custom careers subdomain (e.g. careers.example.com), open the page source or DevTools network tab and look for a boards.greenhouse.io/<slug> URL in an iframe or fetch call.

What if a company isn't on Greenhouse?

This actor only works for Greenhouse boards. For Lever, Workable, Ashby, or LinkedIn job listings, see our other actors — including the LinkedIn Jobs Scraper.

Can I schedule this actor?

Yes. Use Apify's built-in scheduler to run on a cron — daily, weekly, hourly. Push results to a webhook, Google Sheets, Airtable, Slack, or your own database. A common pattern: schedule daily, dedupe by id, and alert on new openings matching a keyword filter ("VP", "Head of Data", "Solutions Engineer").

Will I see only US jobs?

No. Greenhouse boards include all jobs the company chooses to publish — including EMEA, APAC, and remote roles. The location field returns whatever the company posted (e.g. "London, UK", "Remote — Worldwide", "Berlin, Germany").

What if the actor returns fewer jobs than I expect?

Some companies hide certain departments or split internal/external boards. The actor returns what is publicly visible on boards.greenhouse.io/<slug>. If you suspect a missing field or a broken run, open an issue on the actor page and we'll investigate.

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Related Actors

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• LinkedIn Jobs Scraper — Job listings from LinkedIn at scale, with company filters and seniority.
• Crunchbase Scraper — Funding rounds, investors, founders, and company profiles.
• G2 Reviews Scraper — Software reviews, pricing, and competitor mentions.
• Capterra Reviews Scraper — Software category reviews and ratings.

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About Web Data Labs

This actor is maintained by Web Data Labs — we publish a catalog of 100+ production-ready scrapers on the Apify platform covering jobs, e-commerce, social media, software reviews, and company data. Pay-per-result pricing means you only ever pay for data you receive.

Questions or custom data needs? Reach out via the Apify contact form or visit web-data-labs.com.

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New to Apify? Start here

Sign up for Apify through this link to get $5 in free platform credits — enough to try this actor and many others on the Web Data Labs catalog at no cost.