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Greenhouse Job Board API — Jobs, Departments & Offices

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Greenhouse Job Board API — Jobs, Departments & Offices

Greenhouse Job Board API — Jobs, Departments & Offices

Unofficial Greenhouse Job Board API in one Apify actor. Scrape jobs, full descriptions, departments and offices from any company on Greenhouse — Airbnb, Stripe, Anthropic, Mistral AI, Doctolib, Datadog, Notion. Pure HTTP, no auth, parallel batch. For HR tech, ATS, lead gen and AI agents.

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🌱 Greenhouse Job Board API — Scrape Tech Jobs, Departments & Offices

Greenhouse Job Board API — Jobs, Departments & Offices

The unofficial Greenhouse Job Board API in a single Apify Actor. Scrape every open job, full description, department, and office from any company hosted on Greenhouse — Airbnb, Stripe, Anthropic, Mistral AI, Datadog, Doctolib, Ramp, and 5,000+ more tech companies — all with one input. Pure HTTP, no login, no captcha, no API key, sub-second per board.

Greenhouse publishes a clean, public, rate-limit-free REST API for every company's job board. This Actor wraps it, normalizes the output, adds sensible filters, and ships it as a schedulable, exportable dataset (JSON, CSV, Excel) you can call from Make, n8n, Zapier, your CRM, or an AI agent.

✨ What this Actor does / Key features

  • 5,000+ companies in one Actor — pass a list of board tokens and cover every Greenhouse customer.
  • 5 modesjobs (all open jobs), jobDetail (questions and pay ranges for specific job IDs), board (company board profile), departments (department tree), offices (office tree).
  • No auth, no anti-bot — Greenhouse's GET endpoints are fully public and not rate-limited.
  • Full job content — complete HTML descriptions, decoded by default, with an optional plain-text version.
  • Structured metadata — custom fields like employment type, full/part-time, and visa sponsorship as a key→value map.
  • Departments & offices — returned as structured trees with parent/child relationships.
  • Compliance fields — GDPR dataCompliance flags, plus EEOC and demographic questions in jobDetail mode.
  • Pay ranges — salary data via includePayRanges when the employer publishes it.
  • Client-side filters — by department, office, location, title keyword, and language.
  • Parallel fetching — configurable concurrency across many boards in one run.

🔍 Input

FieldTypeDescription
modestring (enum)Required. jobs, jobDetail, board, departments, or offices. Default jobs.
boardTokensarrayGreenhouse board tokens — the slug after boards.greenhouse.io/ (e.g. airbnb, stripe, anthropic). Fetched in parallel.
jobIdsarrayNumeric job IDs to fetch in jobDetail mode. Scoped to the first board token.
fullContentbooleanIn jobs mode, include full HTML description, departments, and offices. Default true.
includeQuestionsbooleanIn jobDetail mode, include application, EEOC, location, and demographic questions. Default false.
includePayRangesbooleanIn jobDetail mode, include configured pay ranges. Default false.
decodeContentbooleanDecode HTML entities in the content field. Default true.
stripHtmlbooleanAlso produce a plain-text contentText field. Default false.
filterDepartmentsarrayCase-insensitive substring match against department names.
filterOfficesarrayCase-insensitive substring match against office names.
filterLocationsarrayCase-insensitive substring match against the job's location name.
filterTitleKeywordsarrayCase-insensitive substring match against job titles.
filterLanguagesarrayMatch the job's language field (ISO 639-1 codes like en, fr).
maxResultsPerBoardintegerCap jobs saved per board. 0 = no cap.
concurrencyintegerParallel board fetches, 1–20. Default 5.

🚀 Example input

{
"mode": "jobs",
"boardTokens": ["anthropic", "mistralai", "ramp"],
"fullContent": true,
"stripHtml": true,
"filterDepartments": ["Engineering", "Research"],
"filterLocations": ["San Francisco", "London", "Remote"],
"concurrency": 5
}

📦 Output

Every item is tagged with _mode, boardToken, and scrapedAt. Main fields for jobs mode:

FieldDescription
_modeWhich mode produced the item.
boardTokenGreenhouse board slug.
idPublic job-post ID.
internalJobIdGreenhouse internal job ID (null for prospect posts).
titleJob title.
companyNameHuman-readable company name.
requisitionIdInternal HR requisition identifier.
location / locationNameRaw location object and flattened location string.
absoluteUrlPublic-facing job post URL.
languageISO 639-1 language code.
updatedAt / firstPublishedLast-updated and first-published timestamps (ISO 8601).
applicationDeadlineDeadline timestamp, or null.
content / contentTextFull HTML description and optional plain-text version.
departments / departmentNamesStructured department objects and flattened names.
offices / officeNamesStructured office objects and flattened names.
metadata / metadataMapCustom job fields as an array and a key→value map.
dataComplianceGDPR and compliance flags configured by the employer.
scrapedAtWhen the item was written to the dataset.

In jobDetail mode, items also include questions, payInputRanges, locationQuestions, compliance, and demographicQuestions. In departments/offices modes, items include name, parentId, childIds, jobs, jobCount, and children.

💡 Use cases

  • HR tech & job aggregators — power a meta-search with near-real-time tech job inventory.
  • Sales intelligence & lead generation — hiring signals are a strong B2B growth proxy; a spike in Engineering hires flags a hot lead.
  • Recruitment agencies — track which companies open which roles, in which cities, with what salary bands.
  • VC & scout tools — hiring velocity is leading-indicator data for portfolio monitoring.
  • Compensation intelligence — combine pay ranges, titles, and locations to build salary benchmarks.
  • AI agents & career tools — feed structured job data into assistants for career-coaching and company research.

❓ Frequently Asked Questions

Do I need a Greenhouse API key or login? No. The Greenhouse Job Board API GET endpoints are fully public. This Actor is read-only — you only need an Apify account.

Is it legal to use this data? The Actor consumes the public Greenhouse Job Board API, which Greenhouse documents as publicly accessible. The data is what employers chose to publish on boards.greenhouse.io. Respect each employer's terms and your local data-protection laws when redistributing. This Actor is not affiliated with Greenhouse Software, Inc.

How do I find a company's board token? Open the company's careers page. If the URL is boards.greenhouse.io/<slug>, that slug is the token. If they embed a Greenhouse iframe, view source and look for boards-api.greenhouse.io/v1/boards/<slug>/....

Can I filter the jobs? Yes — by department, office, location, title keyword, and language. Filtering is client-side because the Greenhouse public API does not accept query filters; the Actor fetches the full list and filters before saving.

How fresh is the data? Real-time. The Greenhouse Job Board API serves the current state of each board the moment you call it — there is no scraping lag.

Is there a salary field? Sometimes. Check metadata/metadataMap (some employers publish salary as a custom field), payInputRanges in jobDetail mode with includePayRanges enabled, and the free-form content HTML.

Can I detect newly posted jobs since my last run? Yes — diff against id, or use updatedAt and firstPublished to identify brand-new posts.

What output formats are supported? JSON, CSV, Excel (XLSX), HTML, and JSONLines, available through the Apify dataset and API.

⏰ Scheduling & integration

Schedule the Actor on Apify to run daily for an always-fresh tech-jobs dataset. Export to JSON, CSV, or Excel, call it from the Apify API, or wire it into Airtable, Google Sheets, Postgres, S3, or Slack with webhooks and no-code tools like Make, n8n, and Zapier.


Keywords: greenhouse job board api, greenhouse scraper, greenhouse jobs scraper, tech jobs scraper, ats scraper, career page scraper, hiring signals data, recruitment intelligence, greenhouse api, scrape company jobs


Changelog

  • 2026-06-01 — Maintenance & reliability pass: pulled the latest source and rebuilt the Actor on the current base image; build verified.

Last reviewed: 2026-06-01.