🌱 Greenhouse Jobs API Scraper

Pull every public job posting from any company that hosts its careers page on Greenhouse — straight from the official Greenhouse Boards API. Just paste one or more board URLs and get a clean, structured dataset with 94 fields per job, including geocoded locations and published salary ranges.

⚡ No login. No browser. Direct from boards-api.greenhouse.io.

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💡 Why Choose This Actor?

• 🎯 Source-direct — reads the official Greenhouse Boards API, so data is fresh and complete (no stale aggregation).
• 🔗 Bulk input — drop in as many board URLs as you like; tokens are auto-extracted from any Greenhouse URL format.
• 🌍 Geocoding built in — messy office addresses are resolved to city / region / country / timezone / lat-lng via OpenStreetMap, and cached for fast repeat runs.
• 💰 Salary enrichment — pulls published pay-transparency ranges per job.
• 🛡️ Bulletproof proxy fallback — starts direct, then automatically climbs to datacenter and residential proxies only if Greenhouse pushes back.
• 📊 94-field schema — the same comprehensive shape used by premium ATS feeds.

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✨ Key Features

Feature	Description
🔍 Title / Location / Org / Domain filters	Include & exclude lists with :* prefix matching
📝 Description search	Full-text search across title + description
💵 Salary ranges	Per-job pay-transparency data
🌍 Derived location fields	Cities, regions, countries, timezones, lat/lng
🧾 Text or HTML descriptions	Your choice
🛡️ Proxy ladder	direct → datacenter → residential (sticky)
📤 Live saving	Records stream to the dataset as they finish

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📥 Input

Field	Type	Description
urls ✅	array	Greenhouse board URLs or plain tokens (bulk). Required.
limit	integer	Max jobs per run (200–5000).
includeCompanyDetails	boolean	Include company-data columns (LinkedIn/Crunchbase/logo).
titleSearch / titleExclusionSearch	array	Keep / drop by title.
locationSearch / locationExclusionSearch	array	Keep / drop by location.
organizationSearch / organizationExclusionSearch	array	Keep / drop by company.
domainFilter / domainExclusionFilter	array	Keep / drop by company domain (exact).
descriptionSearch / descriptionExclusionSearch	array	Search/exclude in title + description.
descriptionType	string	text or html.
hasSalary	boolean	Keep only jobs with a published salary.
fetchSalaryData	boolean	Fetch pay ranges even when hasSalary is off.
geocodeLocations	boolean	Fill the *_derived location fields.
maxRetries / concurrency	integer	Tuning knobs.
proxyConfiguration	object	Proxy settings (defaults to no proxy).

Example input

{
  "urls": [
    { "url": "https://job-boards.greenhouse.io/datadog" },
    { "url": "https://job-boards.greenhouse.io/stripe" }
  ],
  "limit": 200,
  "titleSearch": ["Engineer:*"],
  "fetchSalaryData": true,
  "geocodeLocations": true,
  "proxyConfiguration": { "useApifyProxy": false }
}

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📤 Output

Each record follows the full 94-field schema. The dataset ships with 5 per-section views in the Console: 📋 Overview, 🌍 Location, 💰 Salary, 🏢 Company, 📝 Description.

Example record (truncated)

{
  "id": 4567890,
  "title": "Senior Software Engineer",
  "organization": "Datadog",
  "url": "https://job-boards.greenhouse.io/datadog/jobs/4567890",
  "source": "greenhouse",
  "source_domain": "job-boards.greenhouse.io",
  "date_posted": "2026-06-11T10:22:02",
  "locations_alt": ["New York, NY"],
  "cities_derived": ["New York"],
  "regions_derived": ["New York"],
  "countries_derived": ["United States"],
  "timezones_derived": ["America/New_York"],
  "lats_derived": [40.7127281],
  "lngs_derived": [-74.0060152],
  "ai_salary_currency": "USD",
  "ai_salary_min_value": 150000.0,
  "ai_salary_max_value": 220000.0,
  "ai_salary_unit_text": "YEAR",
  "description_text": "About the role …"
}

ℹ️ The ai_*, org_linkedin_*, linkedin_org_*, and org_crunchbase_* columns are vendor-side AI/LinkedIn enrichments with no public Greenhouse source. They are present in the schema for parity and emitted as null (salary ai_salary_* fields are filled from the published pay ranges).

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🚀 How to Use (Apify Console)

1. Log in at console.apify.com → Actors.
2. Open Greenhouse Jobs API Scraper.
3. Paste your Greenhouse board URLs into 🔗 Greenhouse Board URLs.
4. (Optional) Set filters, salary, geocoding, and proxy.
5. Click Start.
6. Watch the real-time log as boards are fetched, salaries pulled, and locations geocoded.
7. Open the Output tab → switch between the per-section views.
8. Export to JSON / CSV / XLSX.

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🤖 Use via API

curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"urls":[{"url":"https://job-boards.greenhouse.io/datadog"}],"limit":200}'

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🎯 Best Use Cases

• 📈 Job-market & hiring-trend analysis
• 🧭 Sourcing & recruiting pipelines
• 🏢 Competitive hiring intelligence
• 💼 Building job boards / aggregators

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💳 Pricing

This actor uses the Pay-Per-Event model:

Event	Bills for
job-item	Each job posting saved to the dataset

You only pay for the jobs you actually receive. Runs that hit your charge limit stop cleanly.

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❓ FAQ

Which URLs are accepted? Any Greenhouse board URL — job-boards.greenhouse.io/<token>, boards.greenhouse.io/<token>, boards-api.greenhouse.io/v1/boards/<token>, embed links, or a plain token like datadog.

Why are the LinkedIn/Crunchbase columns null? They require third-party enrichment data that a direct Greenhouse scrape doesn't have. They're kept for schema parity.

Do I need a proxy? No. The actor runs direct by default and only escalates to datacenter/residential proxies if Greenhouse blocks a request.

How does geocoding work? Locations are resolved via OpenStreetMap/Nominatim (1 req/s), cached across runs so repeat scrapes are fast.

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🛟 Support & Feedback

Found a bug or want a new field? Open an issue on the Actor's Issues tab.

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⚖️ Legal

Data is collected only from publicly available Greenhouse job boards. You are responsible for compliance with applicable laws (GDPR, CCPA, target ToS).