🔍 Greenhouse Jobs Scraper — Recruiter & Sales Intel

Scrape live Greenhouse-hosted career boards in bulk. Feed in a list of company slugs, get back every public posting with title, location, departments, offices, posted-date, full description HTML, and application URL — straight from Greenhouse's official open boards API.

Built for recruiters and sourcing tools (find candidates by tracking who's hiring), ATS competitive analysts (track Greenhouse adoption + posting velocity at target accounts), sales and BD teams (prospect into companies that just posted senior roles), and journalists / analysts (which startups are growing, hiring freezes, layoffs).

This is a thin wrapper over Greenhouse's public boards API, so the data is fresh, deduplicated, and includes the same fields candidates see on the official board.

What you get per job

• id, internal_job_id, requisition_id — IDs across Greenhouse's systems
• company, company_slug — display name and the Greenhouse slug you fed in
• title — job title (string)
• location — primary location string
• departments, department_ids — array of department names + IDs
• offices, office_locations — array of office labels + locations
• absolute_url — canonical apply URL on the company's Greenhouse board
• first_published, updated_at — ISO-8601 timestamps
• language — usually "en"
• application_deadline — when present
• metadata — any custom fields the company exposes (e.g. seniority, comp band)
• content_html — full HTML description (when includeContent: true)
• source — "greenhouse.io"

Use cases

1. Recruiter sourcing — pull every senior IC role at 50 high-growth Series-B startups, filter for keywords in the description, get a daily diff via Apify Schedules.
2. ATS competitive intel — count Greenhouse postings per company per week to track hiring velocity vs. Lever or Workday.
3. Sales prospecting — companies that just opened a "Head of Revenue Operations" role are buying CRM/CDP tooling now.
4. Talent platform aggregator — feed your job board with tens of thousands of postings from the companies you cover.
5. Comp-band benchmarking — many GH boards publish salary ranges in the description; extract them downstream.
6. Investor due-diligence — track headcount growth at portfolio companies via job-posting cadence.

Quick start

Input:

{
  "companies": ["stripe", "airbnb", "notion"],
  "maxJobs": 100,
  "includeContent": true
}

Sample output row:

{
  "id": 7532733,
  "internal_job_id": 3336216,
  "requisition_id": null,
  "company": "Stripe",
  "company_slug": "stripe",
  "title": "Software Engineer, Issuing Platform",
  "location": "San Francisco, CA",
  "departments": ["Engineering"],
  "offices": ["South San Francisco HQ", "Remote North America"],
  "absolute_url": "https://stripe.com/jobs/search?gh_jid=7532733",
  "first_published": "2024-09-12T18:32:14Z",
  "updated_at": "2025-04-22T14:20:01Z",
  "content_html": "<p>Stripe is the financial infrastructure...</p>",
  "source": "greenhouse.io"
}

Run via Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/greenhouse-jobs-scraper").call(
    run_input={
        "companies": ["stripe", "airbnb", "notion"],
        "maxJobs": 500,
        "includeContent": True,
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "-", item["company"], "-", item["location"])

Run via cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["stripe","notion"],"maxJobs":50,"includeContent":false}'

Integrations

• Zapier — trigger on each new posting and create a row in Airtable / Notion / a Slack alert.
• Make.com — chain into HubSpot or Salesforce as new prospect signals.
• n8n — schedule + dedupe + push into Postgres for trend analysis.

Pricing

Pay-per-event (PPE):

• Actor start: $0.00005 (negligible)
• Per job posting: $0.05

Cost calculator:

Jobs returned	Cost
10 (smoke test)	$0.50
100	$5.00
1,000	$50.00
5,000 (multi-company sweep)	$250.00

That's an order of magnitude cheaper than LinkedIn Recruiter seats for the same hiring-signal data, and you only pay for jobs you actually receive.

FAQ

Q: Where do I find the Greenhouse slug? A: Go to the company's careers page. If the URL contains boards.greenhouse.io/{slug} (or the page redirects there), {slug} is what you want.

Q: Does this work for any company? A: Only companies hosted on Greenhouse Boards. Lever, Ashby, Workday, and SmartRecruiters need different actors — see Related Actors below.

Q: How fresh is the data? A: Greenhouse's API is the source of truth — postings appear here within minutes of the company adding them.

Q: Do I need a Greenhouse API key? A: No. The Boards API is open. There's no rate limit you'll realistically hit at scraper-scale usage.

Q: Will I get duplicate rows when scraping the same company twice? A: Each call is a fresh snapshot. Use id as the deduplication key on your side.

Q: Can I get just the metadata without the full description? A: Yes — set includeContent: false. Cuts the row size by 80–95%.

Related actors

• Lever Jobs Scraper — same shape, for Lever-hosted boards.
• WeWorkRemotely Jobs Scraper — remote-first job aggregator.
• HN Who's Hiring Scraper — monthly Hacker News hiring threads, perfect complement for senior-eng sourcing.

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Built and maintained by NexGenData — affordable, focused web scrapers for B2B data teams.