Greenhouse Jobs Scraper & API | Extract Jobs from Greenhouse ATS

Scrape and search job listings directly from Greenhouse ATS — the leading recruitment platform used by Airbnb, Stripe, Discord, Figma, Notion, and thousands of top tech companies. Index 8,000+ companies and hundreds of thousands of jobs from the tech companies everyone wants to work at. The easiest way to try it: open the actor on Apify, click Try for free, and run with the default input.

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What can Greenhouse Jobs Search do?

• 8,000+ companies indexed — from unicorns to hot startups, all in one place — every open role from every customer
• Run on Apify's serverless platform with scheduling, monitoring, and webhooks
• Integrate with Zapier, Make, Slack, and HTTP webhooks
• Use Apify's proxy rotation and retry handling for resilient runs
• Filter by work model, experience level, salary range, skills, and companies
• Zero ghost jobs — daily verification removes expired listings
• Top tech companies — Airbnb, Stripe, Discord, Figma, Notion, Datadog, and more
• Get v2 enriched output — AI-extracted skills, responsibilities, benefits, company industries, geocoded locations, work-auth signals

What's new in v2.0

If you're upgrading from v1.x your existing scheduled runs keep working — queries, locations, posted_after, page, page_size are unchanged. Everything below is additive:

• Far richer per-job data — AI-extracted qualifications (typed hard / soft skills, education, certifications), responsibilities[], benefits[], summary (one-paragraph AI summary), normalized_title for canonical grouping.
• Enriched company object — company.industries[], company.summary, company.logo_url, company.website, plus a company.details_url link to the full enriched company profile (funding, leadership, ratings, press references, H1B stats).
• Geocoded locations — every locations[] entry includes resolved city / region / country and latitude / longitude when the raw string is geocodable.
• Salary range filter — min_salary_usd / max_salary_usd (USD-normalized server-side from any source currency).
• Skills include / exclude — match against AI-extracted qualifications, not just description text.
• Companies include / exclude — narrow to (or away from) specific employers.
• Work model + experience + employment type filters as explicit faceted filters.
• Negative query syntax — prefix any queries entry with - to drop that token.
• Work-authorization signals — is_work_auth_required, is_h1b_sponsor, is_clearance_required flags per job.

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What data can Greenhouse Jobs Search extract from Greenhouse?

Data point	Description
Job title	Raw + canonical normalized_title
Company	Name, logo, website, summary, industries, H1B history
Location	Raw string + geocoded city / region / country / lat / lon
Salary	Min / max, currency, period (normalized to USD on request)
Employment type	full_time / part_time / contract / internship / freelance / temporary
Workplace type	remote / hybrid / onsite
Experience level	entry / mid / senior / lead / executive
Skills	AI-extracted with `{name, type: hard
Responsibilities	Bullet list extracted from description
Benefits	Bullet list extracted from description
Description	Full text, HTML stripped
AI summary	2–3 sentence role recap
Listing & apply URL	Canonical URLs on Greenhouse
Work-auth signals	is_work_auth_required, is_h1b_sponsor, is_clearance_required
Source	Always "greenhouse" for this actor
Dates	date_posted, created_at, updated_at

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Which companies use Greenhouse?

Greenhouse is the #1 ATS for high-growth tech companies:

Company	Industry	Typical Roles
Airbnb	Travel Tech	Engineering, Product, Design
Stripe	Fintech	Backend, Infrastructure, Security
Discord	Social	Full-Stack, Mobile, ML
Figma	Design Tools	Product, Engineering, Design
Notion	Productivity	Engineering, Growth, Marketing
Datadog	DevOps	SRE, Backend, Sales Engineering
Flexport	Logistics	Operations, Engineering, Data
Plaid	Fintech	Security, Platform, Mobile
Webflow	No-Code	Engineering, Customer Success
Brex	Fintech	Engineering, Product, Finance

…and 8,000+ more companies in our database

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How do I use Greenhouse Jobs Search to scrape Greenhouse jobs?

1. Sign in to Apify (free tier is enough).
2. Open the actor page at apify.com/jobo.world/greenhouse-jobs-search.
3. Set the input — at minimum, fill queries. Optionally add locations, work_models, min_salary_usd, or companies_include.
4. Start the run — Apify calls Jobo Connect under the hood; no API key configuration needed.
5. Watch progress in the run log; results stream into the actor's dataset.
6. Download the dataset as JSON, CSV, or XLSX, or wire it to Zapier / Make / a webhook.
7. Schedule recurring runs from the Schedules tab for daily / hourly job feeds.

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Input

Configure the actor on the Input tab in the Apify UI. Every field is optional; leaving them empty returns the broadest possible result set.

Parameter	Type	Default	Description
queries	Array	[]	Job titles or keywords. Multiple values are OR-ed. Prefix any entry with - to exclude that word, e.g. ["Software Engineer", "-staff", "-principal"] returns Software Engineer roles but drops anything titled Staff/Staffing/Staffed/… or Principal/Principals/… (light suffix-stemming applied).
locations	Array	[]	Cities, regions, countries. Geocoded server-side — accepts loose forms like "NYC", "DACH", "UK".
work_models	Array	[]	Work model: remote, hybrid, onsite. Multiple allowed.
employment_types	Array	[]	full-time, part-time, contract, internship, freelance, temporary.
experience_levels	Array	[]	intern, entry, mid, senior, lead, executive.
skills_include	Array	[]	Only return jobs requiring ANY of these skills. Matched case-insensitively against AI-extracted qualifications.
skills_exclude	Array	[]	Exclude jobs requiring ANY of these skills.
companies_include	Array	[]	Only return jobs from these company names. Case-insensitive exact match against the canonical company name.
companies_exclude	Array	[]	Exclude jobs from these companies.
min_salary_usd	Integer	-	Minimum annual USD salary. Excludes jobs without disclosed salary.
max_salary_usd	Integer	-	Maximum annual USD salary. Combine with min_salary_usd for a range.
posted_after	String	-	ISO 8601 (e.g. 2026-01-01T00:00:00Z) or relative (7 days ago, 1 month, yesterday, last week).
page	Integer	1	Page number (max: 100).
page_size	Integer	50	Results per page (max: 100).

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Output

Each dataset row uses Jobo Connect's enhanced job shape — far richer than raw Greenhouse JSON. Notable additions: normalized_title, summary, company.industries, company.details_url, structured qualifications with typed skills, responsibilities[], benefits[], geocoded locations[] with lat/lon, and work-authorization flags.

{
  "id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "title": "Senior Software Engineer, Payments",
  "normalized_title": "software_engineer",
  "company": {
    "id": "f7c12345-1111-2222-3333-444455556666",
    "name": "Stripe",
    "website": "https://stripe.com",
    "logo_url": "https://...",
    "summary": "Stripe builds economic infrastructure for the internet.",
    "industries": ["FinTech", "Payments", "SaaS"],
    "details_url": "https://connect.jobo.world/api/companies/f7c12345-1111-2222-3333-444455556666"
  },
  "description": "We're looking for...",
  "summary": "Senior backend role on Stripe's payments platform team — Go/Rust, owns latency-sensitive APIs.",
  "listing_url": "https://boards.greenhouse.io/stripe/jobs/123",
  "apply_url": "https://boards.greenhouse.io/stripe/jobs/123/apply",
  "locations": [
    {
      "location": "San Francisco, CA",
      "city": "San Francisco",
      "region": "California",
      "country": "United States",
      "latitude": 37.7749,
      "longitude": -122.4194
    }
  ],
  "compensation": { "min": 180000, "max": 250000, "currency": "USD", "period": "year" },
  "employment_type": "full_time",
  "workplace_type": "hybrid",
  "experience_level": "senior",
  "qualifications": {
    "must_have": {
      "education": [],
      "certifications": [],
      "skills": [
        { "name": "TypeScript", "type": "hard" },
        { "name": "Node.js", "type": "hard" }
      ]
    },
    "preferred": {
      "education": [],
      "certifications": [],
      "skills": [{ "name": "AWS", "type": "hard" }]
    }
  },
  "responsibilities": ["Own the customer-facing analytics dashboard", "..."],
  "benefits": ["Equity", "Private healthcare", "..."],
  "is_work_auth_required": true,
  "is_h1b_sponsor": true,
  "is_clearance_required": false,
  "source": "greenhouse",
  "date_posted": "2026-04-15T10:30:00Z",
  "valid_through": null,
  "created_at": "2026-04-15T11:02:11Z",
  "updated_at": "2026-04-30T08:14:55Z"
}

Field reference

Field	Type	What it is
Identity
id	UUID	Stable Jobo job identifier. Same across re-scrapes.
source	string	Always "greenhouse" for this actor.
Content
title	string	Job title as published by the employer.
normalized_title	string | null	Canonical title slug.
description	string	Full job description, HTML stripped, line breaks preserved.
summary	string | null	AI-generated 2–3 sentence summary of the role.
listing_url	string	Canonical URL to view the job on Greenhouse.
apply_url	string	Direct application URL.
Company
company.id	UUID	Stable Jobo company identifier.
company.name	string	Display name.
company.website	string | null	Marketing website.
company.logo_url	string | null	Hosted logo URL.
company.summary	string | null	One-paragraph company summary (AI-curated).
company.industries	string[]	1–3 industry tags.
company.details_url	string | null	URL to the full enriched company profile. Same X-Api-Key required.
Location
locations[].location	string | null	Raw location string from the posting.
locations[].city / region / country	string | null	Resolved geocoded fields.
locations[].latitude / longitude	number | null	Decimal degrees when geocoded.
Classification
employment_type	string | null	full_time, part_time, contract, internship, temporary.
workplace_type	string | null	remote, hybrid, onsite.
experience_level	string | null	entry, mid, senior, lead, executive.
Compensation
compensation.min / max	number | null	Range bounds in posted currency.
compensation.currency	string | null	ISO 4217.
compensation.period	string | null	hour, day, week, month, year.
Qualifications
qualifications.must_have.education	string[]	Required degrees.
qualifications.must_have.certifications	string[]	Required certifications.
qualifications.must_have.skills[]	objects	{name, type: "hard" | "soft"}.
qualifications.preferred.*	same shape	Nice-to-haves.
responsibilities	string[]	Bulleted responsibilities extracted from the description.
benefits	string[]	Bulleted benefits.
Authorization
is_work_auth_required	bool | null	True when applicants must already have work auth in the job's country.
is_h1b_sponsor	bool | null	True when the company is known to sponsor H1B visas.
is_clearance_required	bool | null	True when a US security clearance is required.
Dates (UTC)
created_at / updated_at	datetime	When Jobo first ingested / last updated the row.
date_posted	datetime | null	When the employer originally posted.
valid_through	datetime | null	Employer-declared expiry, when present.

See the Dataset Schema tab in the Apify UI for the full machine-readable JSON Schema.

Quick-start input examples

Remote engineering jobs at top tech companies

{
  "queries": ["Software Engineer", "Backend Developer"],
  "work_models": ["remote"],
  "page_size": 50
}

Senior+ roles in San Francisco, $180k+

{
  "queries": ["Software Engineer"],
  "locations": ["San Francisco"],
  "experience_levels": ["senior", "lead"],
  "min_salary_usd": 180000,
  "page_size": 50
}

Recent data science jobs (last 7 days)

{
  "queries": ["Data Scientist", "ML Engineer"],
  "posted_after": "7 days ago",
  "page_size": 100
}

Software Engineer roles, skip Staff / Principal / Lead

{
  "queries": ["Software Engineer", "-staff", "-principal", "-lead"],
  "experience_levels": ["mid", "senior"],
  "page_size": 50
}

Python / Go backend roles, no Java

{
  "queries": ["Backend Engineer"],
  "skills_include": ["Python", "Go"],
  "skills_exclude": ["Java"],
  "work_models": ["remote"],
  "page_size": 50
}

Hybrid product roles at a specific company shortlist

{
  "queries": ["Product Manager"],
  "companies_include": ["Stripe", "Plaid", "Brex", "Mercury"],
  "work_models": ["hybrid", "onsite"],
  "experience_levels": ["senior", "lead"]
}

H1B-sponsoring engineering roles

{
  "queries": ["Software Engineer"],
  "experience_levels": ["mid", "senior"],
  "min_salary_usd": 150000,
  "page_size": 100
}

Then filter the dataset for is_h1b_sponsor == true in your client code.

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Tips & advanced options

• Negative query scope. -staff excludes documents containing the token staff in any searched field (title, description, skills, company name). For role-modifier words like staff, lead, principal, intern that's nearly always what you want; for ambiguous words it can over-exclude.
• industries empty for some companies. Industries are populated by Jobo's company enrichment pipeline (Crunchbase + LinkedIn + AI curation). Companies that haven't been enriched yet show industries: [].
• Geocoding is best-effort. Loose location strings like "Worldwide" or "Multiple Locations" won't have latitude/longitude. The raw location string is always preserved.
• details_url is authenticated. It returns the same auth-gated JSON as Jobo Connect's enterprise company API — you'll need an X-Api-Key.
• Pagination cap. page_size maxes at 100; page maxes at 100. For pulls >10,000 results, narrow the filter rather than paginating deeper — or use ATS Jobs Feed for bulk download.
• One ATS per actor. This actor pre-pins sources: ["greenhouse"]. Use ATS Jobs Search to query Greenhouse + Greenhouse + Lever + 45 more in one call.

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Use cases

Industry	Use case
Job Boards	Build job aggregators with rich structured data
AI Agents	Power career chatbots and résumé-matching agents
HR Tech	Analyze competitor hiring trends, salary benchmarks, skill demand
Recruiting	Source candidates and roles at Greenhouse customers
Salary Research	Benchmark compensation across Greenhouse's customer base
Market Research	Track sector hiring velocity through Greenhouse postings

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Is it legal to scrape Greenhouse job listings?

Our scrapers are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

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FAQ

How many Greenhouse companies do you cover?

We index 8,000+ companies using Greenhouse, representing hundreds of thousands of active jobs. New companies and jobs are added daily.

Which companies use Greenhouse?

Greenhouse is the ATS of choice for tech unicorns and high-growth companies: Airbnb, Stripe, Discord, Figma, Notion, Datadog, Plaid, Flexport, and 8,000+ more in our database.

How often is data updated?

Jobs are verified daily. Expired listings are automatically removed within 24 hours.

How do I exclude certain titles?

Prefix any entry in queries with -. Example: ["Software Engineer", "-staff", "-principal"] returns Software Engineer roles but drops Staff and Principal variants. Excludes are lightly stemmed (-staff also catches staffs / staffed / staffing).

Why is industries empty for some companies?

Industries come from Jobo's company-enrichment pipeline (Crunchbase + LinkedIn + AI curation). Companies that haven't been enriched yet show industries: []. The full enriched profile is also available via company.details_url.

Can I filter by salary?

Yes — min_salary_usd and max_salary_usd. Salaries in other currencies are normalized to USD server-side using current FX rates. Jobs without a disclosed salary are excluded when either filter is set.

What does company.details_url give me?

The full enriched company profile on Jobo Connect: funding history, leadership, employee counts, ratings (Glassdoor), press mentions, H1B sponsorship statistics.

Can I search all ATS platforms at once?

Yes! Use ATS Jobs Search to search across 48 ATS platforms in one call.

What's the difference between v1.x and v2.0?

v2 calls the Jobo Connect API directly. Same input contract for queries / locations / posted_after / page / page_size (existing schedules keep working), plus a much richer per-job shape and 10+ new filters.

Where can I check if the Jobo API is up?

At jobo.world/status — the live status page for the Jobo Connect API behind this actor.

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Related actors

Actor	Best for
ATS Jobs Search	Search all 48 ATS platforms at once
ATS Jobs Feed	Bulk download for data pipelines
AI Deep Job Search	AI-powered relevance scoring
Workable Jobs Search	Global SMB + mid-market coverage
Greenhouse Jobs Search	Tech unicorn jobs
Lever Jobs Search	VC-backed startup jobs
Crunchbase Company Lookup	Pair with company.details_url for funding / leadership data

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About Jobo

Jobo provides the most comprehensive job data infrastructure for developers and businesses. Our ATS Jobs Database powers job boards, AI agents, and HR tech platforms worldwide.

• Website: jobo.world
• Enterprise API: jobo.world/enterprise
• API status: jobo.world/status
• Support: enrico@jobo.world