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.

Search across 8,000+ companies and hundreds of thousands of jobs from the tech companies everyone wants to work at.

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🆕 What's new in v2.0

Major upgrade. If you're upgrading from v1.x your existing scheduled runs keep working — is_remote, 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 — work_models, experience_levels, employment_types as explicit faceted filters.
• Negative query syntax — prefix any queries entry with - to drop that token (e.g. ["Software Engineer", "-staff", "-principal"]).
• Work-authorization signals — is_work_auth_required, is_h1b_sponsor, is_clearance_required flags per job.

No setup required. The actor ships pre-configured to call the Jobo Connect API.

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⚡ Why Use This Actor?

• 8,000+ companies indexed — from unicorns to hot startups, all in one place
• Hundreds of thousands of jobs — every open role from every Greenhouse customer
• Top tech companies — Airbnb, Stripe, Discord, Figma, Notion, Datadog, and more
• Zero ghost jobs — daily verification removes expired listings
• Rich structured data — salary, geocoded locations, experience level, full descriptions, company industries, AI-extracted skills / responsibilities / benefits, and work-authorization signals

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🏢 Companies Using 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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📋 Input Parameters

Parameter	Type	Default	Description
queries	Array	[]	Job titles or keywords (e.g., ["Software Engineer"]). 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 (e.g., ["San Francisco"]). Geocoded server-side — accepts loose forms like "NYC", "Bay Area", "UK".
is_remote	Boolean	false	Quick toggle for remote-only. Overridden by work_models if both are set.
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 (e.g. ["Go", "Rust"]). 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 (e.g. ["Stripe", "Anthropic"]). Case-insensitive exact match against the canonical company name.
companies_exclude	Array	[]	Exclude jobs from these companies. Useful for filtering out staffing agencies or companies you've already applied to.
min_salary_usd	Integer	-	Minimum annual USD salary. Excludes jobs without disclosed salary. Salaries in other currencies are normalized server-side.
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 Schema

Each dataset row uses Jobo Connect's enhanced job shape — far richer than raw Greenhouse JSON. Notable additions: normalized_title (canonical title for grouping), summary (AI-generated short description), company.industries, company.details_url (link to the full enriched company profile), 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",
  "is_remote": false,
  "qualifications": {
    "must_have": {
      "education": ["BS in Computer Science"],
      "certifications": [],
      "skills": [
        { "name": "Go", "type": "hard" },
        { "name": "distributed systems", "type": "hard" }
      ]
    },
    "preferred": {
      "education": [],
      "certifications": [],
      "skills": [{ "name": "Rust", "type": "hard" }]
    }
  },
  "responsibilities": ["Own a critical service in the payments path", "..."],
  "benefits": ["Equity", "Health, dental, vision", "..."],
  "is_work_auth_required": true,
  "is_h1b_sponsor": true,
  "is_clearance_required": false,
  "source": "greenhouse",
  "date_posted": "2026-04-15T10:30:00Z",
  "valid_through": "2026-07-15T00:00:00Z",
  "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 (e.g. software_engineer). Useful for grouping/comparing across companies.
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 (often equal to listing_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 (e.g. ["FinTech", "Payments"]).
company.details_url	string | null	URL to the full enriched company profile (funding, leadership, ratings, press references, H1B stats). 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.
is_remote	bool	True if any location is fully remote.
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 (e.g. USD, EUR).
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.

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🚀 Quick Start Examples

Remote engineering jobs at top tech companies

{
  "queries": ["Software Engineer", "Backend Developer"],
  "is_remote": true,
  "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, but skip Staff / Principal / Lead

Prefix any queries entry with - to exclude that token. Excludes are lightly stemmed, so -staff also catches staffs, staffed, staffing. The exclusion applies across title, description, and skills — useful for filtering out role-modifier words you never want to see.

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

Python / Go backend roles, no Java

Skill filters match against AI-extracted qualifications, not raw description text — so you don't have to worry about a job description that says "we don't use Java" matching your skills_exclude: Java.

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

Hybrid product roles at a specific company shortlist

Companies match case-insensitively on the canonical name. Pull the names from a previous run's company.name field if you're unsure of the exact form.

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

H1B-sponsoring engineering roles

The is_h1b_sponsor flag is per-job (derived from public DOL filings + company history), not per-company.

{
  "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 & Gotchas

• 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: []. Coverage is ~95%+ on companies with > 100 jobs in our index, lower on long-tail companies.
• Geocoding is best-effort. Loose location strings like "Worldwide" or "Multiple Locations" won't have latitude/longitude. The raw location string is always preserved so you can fall back to it.
• 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. Treat the URL as a discoverable hint rather than an open endpoint.
• Pagination cap. page_size maxes at 100; page maxes at 100. To pull more than 10,000 results for a query, narrow the filter (e.g. by posted_after window, companies_include, or a more specific queries) rather than paginating deeper.
• One ATS per actor. This actor pre-pins sources: ["greenhouse"] — you can't widen it to other ATSes. Use ATS Jobs Search to query Greenhouse + Lever + Ashby + 45 more in one call.

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💼 Use Cases

Industry	Use Case
Job Boards	Build tech-focused job aggregators with rich structured data
AI Agents	Power career chatbots and résumé-matching agents with Greenhouse data
HR Tech	Analyze competitor hiring trends, salary benchmarks, skill demand
Recruiting	Source candidates and roles at top tech companies
Salary Research	Benchmark compensation at tech unicorns by role / level / location
Investor Research	Track hiring velocity at portfolio or comp companies

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❓ Frequently Asked Questions

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 — typically very small or newly added — show industries: []. The full enriched profile (including industries) is also available via company.details_url.

Can I filter by salary?

Yes — min_salary_usd and max_salary_usd. Salaries posted 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?

It links to the full enriched company profile on Jobo Connect: funding history, leadership, employee counts, ratings (Glassdoor), press mentions, H1B sponsorship statistics. It uses the same X-Api-Key as the search API.

Can I search all ATS platforms at once?

Yes! Use ATS Jobs Search to search Greenhouse + Ashby + Lever + 45 other platforms in one call.

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

v2 calls a richer backend (Jobo Connect direct, not the previous gateway). Same input contract for queries / locations / is_remote / posted_after / page / page_size (existing schedules keep working), plus a much richer per-job shape and 10+ new filters. See What's new in v2.0 above.

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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
Lever Jobs Search	More startup jobs
Workday Jobs Search	Fortune 500 enterprise 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
• Support: enrico@jobo.world