Greenhouse Jobs Scraper & API — 200,000+ Jobs, No Row Cap

Get every open job from 7,500+ companies hiring on Greenhouse in a single run: 200,000+ live roles at companies like Airbnb, Stripe, SpaceX and Datadog. You don't need a list of companies, and there's no cap on how many jobs you can pull. To try it, click Start with the default input.

What does Greenhouse Jobs Scraper & API do?

It searches one ready-made index of every public Greenhouse job board and returns the jobs that match your filters, with clean descriptions and structured fields.

• No row cap. Pull 50 jobs or 200,000. You decide with maxResults and your spend limit.
• Only live listings. When a job closes on the company's board, we remove it at our next refresh.
• Every open job, however old. A role that has been open for a year is still hiring, so we keep it.
• Salaries you can compare. Every salary also comes in annual US dollars, hourly rates included, so a "$100k+" search finds hourly and non-US roles too.
• Straight from the posting. Salary, benefits and requirements come from what the employer wrote. Anything we infer, like an employment type, sits in its own clearly labelled field.
• AI-screening disclosure. See which employers say they use AI to screen applicants. You won't find this in any other Greenhouse feed.
• Job data only. No personal details are included unless you switch on the US hiring contact.

How much does it cost to scrape Greenhouse jobs?

You pay per job returned: $2.00 per 1,000 jobs on Apify's Free plan, down to $1.00 per 1,000 on Business (see the Pricing tab for every plan). Each run also has a start fee of $0.00005.

Platform usage and full descriptions are included. A run that finds no jobs costs only the start fee.

How to scrape Greenhouse jobs

1. Click Try for free and sign in to Apify.
2. On the Input tab, add what you're looking for, e.g. a job title, countries, or a minimum salary. Every field is optional.
3. Click Start. Small runs finish in seconds; a run of thousands of jobs with descriptions takes a few minutes.
4. Download the results from the Output tab as JSON, CSV or Excel, or connect them to Google Sheets, Zapier, Make, a webhook or the Apify API.

Input

Every field is optional. An empty input returns the newest jobs first.

Field	What it does
query	Title search by whole word, so "java" won't match "JavaScript". Use at least 3 letters or digits.
titleExclude	Skip titles containing any of these words, e.g. senior, intern
tech	Jobs that mention any of these technologies. Use this for short names like C++, Go and AI.
companies	Greenhouse board names, e.g. stripe
countries / cities / regions	2-letter country codes; exact city and state names
remoteType, seniority, jobFunction	Pick from the lists
employmentType	As stated by the employer. Tick includeInferredEmploymentType to also match our best guess.
minSalaryUsd, hasSalary	Pay filters, in annual USD
benefitTags	Jobs offering all of the benefits you pick, e.g. parental_leave, equity, retirement
visaSponsorship, securityClearance, aiScreening	Eligibility and disclosure filters
postedAfter, language, yearsMax	How recent, which language, how much experience
includeDescription, descriptionFormat	Readable text, clean html that's safe to show on your site, or both
includeHiringContact	Off by default. For US jobs only: the name and email the employer put in the posting
maxResults	5,000 by default. Raise it as far as you like.

Example 1: remote AI operations roles

Senior or lead, US, remote, paying at least $100k a year, offering parental leave and a retirement plan, at employers who disclose AI screening:

{
  "query": "AI operations",
  "titleExclude": ["intern"],
  "countries": ["US"],
  "remoteType": ["remote"],
  "seniority": ["lead", "senior"],
  "minSalaryUsd": 100000,
  "benefitTags": ["parental_leave", "retirement"],
  "aiScreening": "disclosed",
  "descriptionFormat": "both",
  "maxResults": 50
}

Example 2: senior cloud engineers who know Kubernetes or Terraform

{
  "query": "software engineer",
  "tech": ["Kubernetes", "Terraform"],
  "countries": ["US"],
  "remoteType": ["remote"],
  "seniority": ["senior"],
  "minSalaryUsd": 140000
}

Output

One row per job. These are real jobs those two inputs returned, shortened. IDs, dates and links are shown as placeholders.

From example 1:

{
  "job_id": "greenhouse:<job id>",
  "title": "Senior AI Operations Lead",
  "company_name": "CodePath",
  "requisition_id": "<employer's reference>",
  "department_raw": "Business Operations",
  "job_function": "operations",
  "seniority": "lead",
  "employment_type": "full-time",
  "employment_type_inferred": null,
  "location_raw": "Remote, United States",
  "location_country": "US",
  "remote_type": "remote",
  "remote_scope": "restricted",
  "salary_min": 110000,
  "salary_max": 150000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_min_usd_annual": 110000,
  "salary_max_usd_annual": 150000,
  "benefit_tags": ["health_insurance", "retirement", "paid_time_off", "parental_leave", "learning_budget"],
  "benefits": [
    "Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents)…",
    "Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave…",
    "Professional Growth: $1,000 annual professional development stipend and home office setup support"
  ],
  "responsibilities": [
    "Embed and audit. Rotate through functions. Audit how the team really works, map the repetitive tasks…",
    "Build the v1 fast. Develop task-specific agents and automations… using Claude, Claude Code, MCP integrations…"
  ],
  "requirements": [
    "5+ years in automation/ops tooling, including recent hands-on LLM/agent work in a professional setting",
    "Hands-on experience building with LLM tools and low-code/no-code automation platforms (e.g. Claude, n8n, Zapier, Make)…"
  ],
  "tech_stack": ["LLM"],
  "ai_screening_disclosed": true,
  "ai_opt_out_url": "https://app7.greenhouse.io/ai_opt_out_request/job_post/<job id>/ai_opt_out",
  "posted_at": "YYYY-MM-DDThh:mm:ssZ",
  "retrieved_at": "YYYY-MM-DDThh:mm:ssZ",
  "apply_url": "https://job-boards.greenhouse.io/codepath/jobs/<job id>",
  "description_text": "CodePath is the largest educator of college computer science students in the country…",
  "description_html": "<p>CodePath is the largest educator of college computer science students in the country…</p>…"
}

From example 2:

{
  "job_id": "greenhouse:<job id>",
  "title": "Senior Software Engineer - Cloud Platform Engineering",
  "company_name": "MariaDB plc",
  "job_function": "engineering",
  "seniority": "senior",
  "location_raw": "Remote - US",
  "location_country": "US",
  "remote_type": "remote",
  "salary_min": 141000,
  "salary_max": 185000,
  "salary_currency": "USD",
  "salary_period": "year",
  "tech_stack": ["Python", "Java", "C++", "SQL", "MySQL", "Redis", "AWS", "GCP", "Azure", "Kubernetes",
                 "Docker", "Terraform", "Linux", "Serverless", "LLM", "Golang"],
  "years_experience_min": 5,
  "requirements": [
    "5+ years of professional software development experience, with at least 2 years focused on data-intensive applications…",
    "Demonstrated end-to-end ownership of a non-trivial production feature or module…"
  ],
  "nice_to_have": [
    "Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem.",
    "Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems."
  ],
  "benefit_tags": ["health_insurance", "retirement", "paid_time_off", "unlimited_pto", "parental_leave"],
  "visa_sponsorship": false,
  "ai_screening_disclosed": true,
  "apply_url": "https://job-boards.eu.greenhouse.io/mariadbplc/jobs/<job id>"
}

What to notice:

• tech_stack is read from the whole posting, so one tech filter finds every job that names Kubernetes or Terraform, whatever the title says.
• visa_sponsorship: false because the posting says "MariaDB does not sponsor work visas". We only return true when a posting actually offers sponsorship, and null when it doesn't say.
• benefits is the employer's own list; benefit_tags makes it filterable. Example 1 matched parental_leave and retirement because the posting says so.
• ai_screening_disclosed and ai_opt_out_url come straight from Greenhouse's disclosure fields.
• requisition_id is the employer's own reference, useful for spotting the same role reposted elsewhere.
• null means the posting doesn't say. We never fill a gap with a made-up default.

Salaries in one currency

Every salary is also returned per year in US dollars, so one minSalaryUsd filter covers them all. Real examples from the index:

Job	As published	salary_*_usd_annual
Counselor, Cortica	$48–60 per hour	$99,840–124,800
Head of Women's Apparel UK/EU, Quince	£100,000–165,000 per year	$132,196–218,123
Senior AI Operations Lead, CodePath	$110,000–150,000 per year	$110,000–150,000

Hourly pay is annualised at 2,080 hours; other currencies use a fixed reference exchange rate. Treat the USD figures as estimates.

How complete is the data?

We publish how often each field is filled, so you know what you're buying. Measured across 8,554 live jobs from 400 companies spread over the whole index:

Field	Filled
title, company, apply link, posted date, description	100%
department	99.6%
requisition ID	95.7%
city / country	86.5% / 85.0%
job function	69.7%
responsibilities / requirements	61.1% / 46.6%
benefit tags	53.3%
years of experience	41.3%
AI-screening disclosed	32.8%
employment type (stated / stated or inferred)	11.9% / 32.1%
salary (also in annual USD)	31.2%
seniority	29.5%
tech stack	24.6%
remote / hybrid / onsite	15.7%
visa sponsorship stated	2.1%

When a posting doesn't say, the field is null. We never fill a gap with a made-up default.

FAQ

How fresh are the jobs?

Every board is re-checked regularly, and a job that closes is removed at the next refresh. Each row carries retrieved_at, the last time we confirmed it live.

Why do some jobs have no salary?

Most employers don't publish one. When they do, we return it, both as written and in annual US dollars.

Can I get only the jobs posted since my last run?

Yes. Schedule the Actor and set postedAfter to the date of your previous run.

Can I search inside job descriptions?

Not yet. Use query for titles, tech for technologies and benefitTags for benefits.

Is it legal to scrape Greenhouse jobs?

We collect only job postings that companies publish publicly on their Greenhouse career boards. No personal data is returned unless you switch on the US hiring contact, which the employer published in the posting itself. As with any data, check that your use complies with the laws that apply to you.

Can I use it from code or with AI agents?

Yes. Call it through the Apify API with the JavaScript or Python client, or through the Apify MCP server. See the API tab for ready-made examples.

For AI agents

• Purpose: search live Greenhouse job postings across 7,500+ companies by filters. No company list needed.
• Minimal input: {"query": "data engineer", "countries": ["US"], "maxResults": 100}
• Always set maxResults to what you need. The default is 5,000 and there is no platform cap.
• Billing: one job-returned event per job delivered, plus a $0.00005 start fee per run. Empty results cost only the start fee.
• Short tech names (C++, Go, AI) go in tech, not query. query needs 3+ letters or digits.
• Output: one row per job, with job_id, title, company_name, location_*, salary_* (plus salary_*_usd_annual), benefit_tags, requirements, responsibilities, posted_at, apply_url and description_text. Unknown values are null.
• Run summary: the RUN_SUMMARY record in the key-value store states why the run stopped and when the index was last checked.

Help us grow the index

Missing a company? Open an issue with its Greenhouse link and we'll add it to the index.

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Greenhouse is a trademark of Greenhouse Software, Inc. This Actor is independent, and isn't affiliated with or endorsed by Greenhouse Software, Inc. It reads only publicly published job boards.