Greenhouse Jobs Scraper

Greenhouse Jobs Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Greenhouse job data.

Greenhouse has no directory and no search across companies. Every company's jobs sit on its own board, and salaries hide inside the job text.

Greenhouse Jobs Scraper fixes it — type a company name, get every job with its salary, so you can successfully complete your project.

$1 per 1,000 jobs. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 jobs each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try Greenhouse Jobs Scraper free — your first ~5,000 jobs are Free.

What can I get

• 💼 Every open job at 7,500+ companies — SpaceX, Anthropic, Airbnb, Stripe, Figma & more
• 💰 Salaries straight from the job post — min, max, currency & period as their own columns
• 🔎 Filters that matter — title words, location, department, remote/hybrid, level, posted date & minimum salary
• 🏢 Just type the company — a name, a website domain or a board link; we find the board

Why Greenhouse Jobs Scraper

Most other Greenhouse scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per job, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

Greenhouse Jobs Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: A Full Greenhouse Job

{
  "company_input": "airbnb.com",
  "id": 8275508,
  "title": "Engineering Manager, Secure Development Engineering",
  "company_name": "Airbnb",
  "board_link": "https://job-boards.greenhouse.io/airbnb/jobs/8275508",
  "location": "United States",
  "workplace_type": "remote",
  "seniority": "manager",
  "salary_min": 212000,
  "salary_max": 265000,
  "salary_currency": "USD",
  "salary_period": "yearly",
  "salary_source": "pay_range",
  "departments": ["Software Engineering"],
  "offices": ["United States"],
  "posted_at": "2026-10-13T23:47:28Z",
  "pay_ranges": [
    { "title": "Pay Range", "min": 212000, "max": 265000, "currency": "USD", "period": "yearly" }
  ],
  "metadata": [
    { "name": "Workplace Type", "value": "Remote" }
  ]
}

Trimmed for readability. Every row is flat — each value is its own column, so CSV and Excel exports need no clean-up.

Get Started with 5,000 Free Jobs

1. Hit Try for Free Button — the input is pre-filled with SpaceX, Anthropic and Airbnb engineering jobs.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Standard jobs	$1 per 1,000	Title, company, location, salary, workplace, employment type, level, departments, offices, dates, custom fields — plus the full description when you tick Include Job Description
Detailed jobs	$2 per 1,000	Everything above + the employer's published pay ranges (title, min, max, currency, period, note) and the full description

No start fee — you pay only for the rows you get. Control your spend with Max Jobs per Company: 1,000 jobs ≈ $1.

💡 Apify's free plan includes $5 of credit every month — about 5,000 free jobs, every month.

👉 Scrape your first 5,000 jobs free

FAQ

How much does a run cost? 100 jobs from one company cost about $0.10. Every job at SpaceX — 2,700+ — costs about $2.75. With full details, double it.

Which companies work? Every company whose careers page runs on Greenhouse: SpaceX, Anthropic, Airbnb, Stripe, Figma, Cloudflare, Datadog, Coinbase, Lyft, Reddit and thousands more. If a company isn't found by name, paste its job-boards.greenhouse.io link.

Where does the salary come from? From the employer's own pay-range field when they publish one, from a custom salary field, or from the pay range written in the job description. salary_source tells you which.

Is the same job billed twice? No. A job reached from two inputs in one run is scraped and billed once.

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/greenhouse-jobs-scraper").call(run_input={
    "companies": ["spacex", "anthropic"],
    "searchQuery": "engineer",
    "salaryFilter": "with",
    "maxResultsPerCompany": 50,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["company_name"], job["title"], job["salary_min"], job["salary_max"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/greenhouse-jobs-scraper').call({
    companies: ['airbnb.com'],
    workplaceType: 'remote',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

Related Actors

• 📈 Greenhouse Hiring Signals — one row per company: open jobs, new jobs this week, salary coverage, remote split, top departments & locations. $5 per 1,000 companies.

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👉 Scrape your first 5,000 jobs free now