Greenhouse Jobs Scraper & API

Greenhouse Jobs Scraper & API — search 175,000+ live jobs scraped from Greenhouse, the ATS of choice for the tech industry, used by companies like Airbnb, Stripe, Anthropic, Figma, and Datadog. One normalized JSON schema, career sites checked daily for new and expired listings. Open the actor, hit Try for free, and run the default input (queries: ["Software Engineer", "Product Manager"]) — no code or API key required.

What does Greenhouse Jobs Scraper do?

• Searches 175,000+ live Greenhouse jobs across thousands of company boards in one call — no board tokens, no per-company setup
• Filters by work model, employment type, experience level, salary range, skills, companies, and posting date
• Excludes noise with negative keywords — prefix any query token with - (["Software Engineer", "-staff"])
• Returns de-duplicated listings — one record per posting, keyed on the ATS's native job ID; repeats across an employer's boards are merged, and expired jobs drop out through the daily career-site checks
• Processes every job with Jobo's AI extraction: typed hard/soft skills, responsibilities and benefits when the posting states them, a short summary, geocoded locations, annual-USD salaries when pay is disclosed, and work-authorization signals (H1B sponsorship, clearance) when the posting mentions them
• Optionally attaches the full company profile — funding, ratings, tech stack, H1B history where available — with one switch
• Exports to JSON, CSV, or Excel, and plugs into schedules, webhooks, Zapier, Make, and the Apify API

Why scrape Greenhouse jobs?

Greenhouse is the applicant tracking system the tech industry hires on. Its customer base skews heavily toward well-funded product companies — from public giants to breakout startups — which makes its job boards one of the highest-signal sources of tech hiring data anywhere: real openings, posted directly by employers, with salary ranges increasingly disclosed. If you want to know who's hiring engineers, designers, or PMs in tech — and what they're paying — Greenhouse is the board to watch.

Jobo's live Greenhouse index currently holds 175,000+ open roles, about two-thirds of them in the United States, with the UK, India, and Canada next. Companies hiring through Greenhouse right now include Airbnb, Stripe, Anthropic, Datadog, Figma, Pinterest, Reddit, Robinhood, Coinbase, and Discord — alongside thousands of smaller product companies.

Can I use the official Greenhouse API instead?

Greenhouse does publish an official Job Board API, but it is strictly one board per call — you must already know each company's board token, and you get raw per-board data with no search, no filters, and no normalization. No ATS offers a public cross-company search API. That's the gap this actor closes: one query across every Greenhouse board Jobo indexes, with fields the official feed doesn't provide — geocoded locations, USD-normalized salaries, and AI-extracted skills.

What data can you extract from Greenhouse?

Every result is a structured job record in Jobo's normalized schema — the same shape across all Jobo actors, so you can mix sources freely. Highlights:

Field	Description
title / normalized_title	Raw posting title + canonical title for grouping
company	Company preview: name, website, logo, summary, industries (+ id for enrichment)
locations	Geocoded: city, region, country, latitude/longitude
compensation	{min, max, currency, period}, normalized to annual USD for filtering
employment_type / workplace_type / experience_level	e.g. "Full-time" / "Remote" / "Mid Level"
qualifications	AI-extracted must-have & preferred skills (typed hard/soft), education, certifications
responsibilities / benefits	Bullet lists extracted from the description
summary / description	Short AI summary + full description, HTML stripped
listing_url / apply_url	Canonical Greenhouse listing + the employer's ATS application page, or the listing itself when there is no separate form
is_h1b_sponsor / is_work_auth_required / is_clearance_required	Work-authorization signals
date_posted / created_at / updated_at	Employer posting date + Jobo index/refresh timestamps
source	Always "greenhouse" for this actor

Set include_company_details: true to replace the company preview with the fully enriched profile: where available, funding rounds and investors, employee ratings, tech stack, headcount and revenue bands, and H1B filing history. The complete field list is on this page's Output schema tab and at jobo.world/docs.

How much does it cost?

This actor uses pay-per-result pricing: you pay a fixed rate per job record returned — the current rate is in the pricing box on this page. There are no separate compute, proxy, or storage charges, and a run never returns more than page_size results, so spend is fully predictable. Apify's free plan includes enough credit to pull thousands of jobs, so you can evaluate the full dataset before paying anything.

How do I scrape Greenhouse jobs?

1. Open the actor and click Try for free — you'll need a free Apify account.
2. Enter your search on the Input tab: keep the default queries (["Software Engineer", "Product Manager"]) or add your own titles and locations.
3. Narrow with filters (optional): work model, experience level, salary range, skills, or specific companies.
4. Click Start. A typical run finishes in under a minute.
5. Export your results from the Output tab as JSON, CSV, or Excel — or connect a schedule, webhook, or integration to make it run on autopilot.

⬇️ Input

Every field is optional — an empty input returns the newest Greenhouse jobs. Up to 5 queries are OR-ed together; prefix a token with - to exclude it.

Parameter	Type	Description
queries	array (≤5)	Job titles or keywords, OR-ed. -token excludes.
locations	array	Cities, regions, or countries — geocoded server-side.
work_models	array	remote, hybrid, onsite.
employment_types	array	full-time, part-time, contract, internship, freelance, temporary.
experience_levels	array	intern, entry, mid, senior, lead, executive.
skills_include / skills_exclude	array	Match against AI-extracted skills.
companies_include / companies_exclude	array	Company name (whole-name match, case-insensitive), website domain, or Jobo company id. See the FAQ.
min_salary_usd / max_salary_usd	integer	Annual USD bounds; jobs without a disclosed salary are excluded when set.
posted_after / posted_before	string	ISO 8601 (2026-01-01) or relative (7 days ago).
page / page_size	integer	Page 1–100 × 1–100 results per page (default 50).
include_company_details	boolean	Attach the full enriched company profile (default false).

The full input schema with defaults is on this page's Input schema tab.

Remote roles, biggest page

{
  "queries": ["Software Engineer"],
  "work_models": ["remote"],
  "page_size": 100
}

Senior+ roles at specific tech companies, 180k+ USD

{
  "queries": ["Software Engineer", "-staff"],
  "companies_include": ["Stripe", "Datadog", "Figma"],
  "experience_levels": ["senior", "lead"],
  "min_salary_usd": 180000,
  "page_size": 100
}

⬆️ Output example

Results land in the dataset under two views: Greenhouse Job Listings (one row per job) and Company details (populated when include_company_details is on). Export as JSON, CSV, or Excel. A typical record:

{
  "id": "f0f6a7d0-c667-48f7-95bc-a91f172e2d6d",
  "title": "Software Engineer",
  "normalized_title": "Software Engineer",
  "summary": "Design and develop software for capital equipment and medical devices used by cardiac surgeons and electrophysiologists…",
  "company": {
    "id": "6647fb14-d420-434a-a332-9c972016b9b0",
    "name": "AtriCure",
    "website": "https://atricure.com",
    "logo_url": "https://images.jobo.world/logos/atricure.jpg",
    "industries": ["Medical Devices & Equipment"],
    "details_url": "https://connect.jobo.world/api/companies/6647fb14-d420-434a-a332-9c972016b9b0"
  },
  "locations": [
    {
      "location": "Minneapolis, MN",
      "city": "Minneapolis",
      "region": "Minnesota",
      "country": "United States",
      "latitude": 44.9772995,
      "longitude": -93.2654692
    }
  ],
  "compensation": { "min": 71036, "max": 104186, "currency": "USD", "period": "yearly" },
  "employment_type": "Full-time",
  "workplace_type": "On-site",
  "experience_level": "Mid Level",
  "qualifications": {
    "must_have": {
      "education": ["Bachelor's degree in Systems Engineering, Electrical Engineering, or Computer Engineering"],
      "skills": [
        { "name": "C", "type": "hard" },
        { "name": "C++", "type": "hard" },
        { "name": "Software Development Methodologies", "type": "hard" }
      ]
    },
    "preferred": {
      "skills": [
        { "name": "Rust", "type": "hard" },
        { "name": "Python", "type": "hard" }
      ]
    }
  },
  "is_work_auth_required": true,
  "listing_url": "https://job-boards.greenhouse.io/atricure/jobs/4309998009",
  "apply_url": "https://job-boards.greenhouse.io/atricure/jobs/4309998009#app",
  "source": "greenhouse",
  "date_posted": "2026-07-09T13:47:14Z",
  "description": "…full job description, HTML stripped…"
}

What can you expect from a run?

• One run returns one page — up to 100 results per call. Walk page 1→100 to reach 10,000 jobs per query; for full-inventory pulls use Career Site Jobs Feed (cursor pagination, 1,000 jobs per batch).
• Freshness: Jobo checks every tracked Greenhouse career site daily for new and expired listings; jobs removed from the employer's site drop out of the feed.
• Salaries: disclosed salaries are converted to annual USD using a fixed exchange-rate table, so min_salary_usd works across currencies (values are approximate).
• Geocoding is best-effort — loose strings like "Worldwide" won't geocode, but the raw location string is always preserved.
• industries can be empty for long-tail companies that Jobo's enrichment pipeline hasn't profiled yet.
• source is always "greenhouse" — handy for provenance when you mix datasets from several Jobo actors.

Integrations, API & MCP

Everything on the Apify platform works out of the box: schedules (hourly/daily/weekly runs), webhooks on run completion, and one-click integrations with Zapier, Make, n8n, Slack, Google Sheets, and Google Drive.

Prefer code? Call this actor as a Greenhouse jobs API from Python or JavaScript with the Apify API clients — start a run, wait for it, and page through the dataset in a few lines (ready-made snippets are in the API section of this page). AI agents can run it through the Apify MCP server, which exposes this actor as a tool.

Use cases

Who	What for
Job boards	Tech-focused aggregators built on Greenhouse's high-signal startup and scale-up inventory
AI agents	Career copilots and résumé-matching agents grounded in live tech openings
Recruiters	Sourcing intel on who's hiring at Airbnb, Stripe, Anthropic, and thousands of peers
HR tech	Market dashboards scoped to the companies that hire on Greenhouse
Salary research	Compensation benchmarks from disclosed tech salary ranges
Market research	Hiring-velocity tracking across the venture-backed tech sector

❓ FAQ

My company filter returned zero jobs — why?

One of three causes — the Company match report in the run's Output tab gives a per-name answer:

1. Not the full stored name. Matching is whole-name, case-insensitive: Glenmark won't find Glenmark Pharmaceuticals. Passing the company's website domain (glenmark.com) or Jobo company id works too and sidesteps spelling entirely.
2. The company is on a different ATS. This actor only covers Greenhouse — use ATS Jobs API for cross-platform coverage.
3. Another filter excluded everything. queries is pre-filled with example job titles — clear it to search a company's whole job list.

Should I use this actor or ATS Jobs API?

Use this actor if you only need Greenhouse — simpler input, identical output schema. Use ATS Jobs API to search Greenhouse together with Workday, SmartRecruiters, iCIMS, and 150+ other platforms in one call.

How do I download more than 10,000 jobs?

Use Career Site Jobs Feed — it streams the full inventory with cursor pagination at 1,000 jobs per batch, built for ETL pipelines.

Are duplicate listings removed?

Yes. Listings are de-duplicated by the source ATS's native job ID within each employer.

Can I filter by salary?

Yes — min_salary_usd / max_salary_usd, matched against USD-normalized compensation. Jobs that don't disclose a salary are excluded whenever a salary filter is set.

How fresh is the data?

New Greenhouse jobs are picked up on the next daily check. Jobo checks every tracked Greenhouse career site daily for new and expired listings, and jobs removed from the employer's site drop out of the feed.

Does this actor cover private or internal Greenhouse boards?

No — it indexes publicly published job boards only, the listings employers post to be found. Internal-only or unlisted requisitions never appear.

Where can I check if the API behind this actor is up?

At jobo.world/status — the live status page for the Jobo Connect API that powers every Jobo actor.

⚖️ Is it legal to scrape Greenhouse job listings?

Jobo only collects job postings employers publish publicly on their career sites, and returns no personal data about candidates. Postings can still incidentally contain personal data (e.g., a recruiter's name in a job description), which the GDPR and similar regulations protect, so only process it with a legitimate reason. Whether a use is lawful depends on your jurisdiction and use case, so check with your counsel for anything sensitive. Read more in Apify's guide to the legality of web scraping.

Greenhouse is a trademark of Greenhouse Software, Inc. This actor is an independent product and is not affiliated with, endorsed by, or sponsored by Greenhouse Software, Inc.

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About Jobo & support

Jobo builds job-data infrastructure: a normalized index of jobs built from daily checks of company ATS career sites, powering job boards, AI agents, and HR-tech products.

• Questions or bugs? Open a ticket on this actor's Issues tab and we'll follow up.
• Website: jobo.world · Enterprise API: jobo.world/enterprise · API status: jobo.world/status
• Email: enrico@jobo.world