Pricing

Rating

Developer

Actor stats

Categories

Share

🔍 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:

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.

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