# 🚀 Greenhouse Jobs Scraper · 5,000 Free Jobs/Month (`omkar-cloud/greenhouse-jobs-scraper`) Actor

Greenhouse Jobs Scraper gets you every job at any company ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — salaries, locations, departments, remote & seniority. 💰 $1 per 1,000 jobs, no start fee. Scrape your first 5,000 jobs free every month 🚀

- **URL**: https://apify.com/omkar-cloud/greenhouse-jobs-scraper.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Categories:** Jobs, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Greenhouse Jobs Scraper free**](https://apify.com/omkar-cloud/greenhouse-jobs-scraper) — 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

```json
{
  "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**](https://apify.com/omkar-cloud/greenhouse-jobs-scraper) — 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**](https://apify.com/omkar-cloud/greenhouse-jobs-scraper)

### 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](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
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`)

```javascript
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.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20with%20using%20the%20Greenhouse%20Jobs%20Scraper%20Actor.)

[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Greenhouse%20Jobs%20Scraper%20Actor\&body=I%20need%20help%20with%20using%20the%20Greenhouse%20Jobs%20Scraper%20Actor.)

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**](https://apify.com/omkar-cloud/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.

### Popular Actors by Omkar Cloud

- [**G2 Product Scraper**](https://apify.com/omkar-cloud/g2-product-scraper) — G2 product details, ratings & AI-found contacts
- [**Website Email Contact Scraper**](https://apify.com/omkar-cloud/website-email-contact-scraper) — emails, phones & socials from any website
- [**AliExpress Product Scraper**](https://apify.com/omkar-cloud/aliexpress-product-scraper) — live product details, SKU variants, stock & shipping
- [**Booking Scraper**](https://apify.com/omkar-cloud/booking-scraper) — Booking.com hotels: prices, ratings, rooms & amenities
- [**Etsy Scraper**](https://apify.com/omkar-cloud/etsy-scraper) — Etsy products: prices, discounts, shops & variations

👉 [**Scrape your first 5,000 jobs free now**](https://apify.com/omkar-cloud/greenhouse-jobs-scraper)

# Actor input Schema

## `companies` (type: `array`):

One company per line: a name (`SpaceX`), a website domain (`airbnb.com`), a Greenhouse board token (`stripe`) or a board link (`https://job-boards.greenhouse.io/figma`). Rows carry a `company_input` field so you can tell companies apart.

## `searchQuery` (type: `string`):

Words that must all appear in the job title or department name, e.g. `software engineer`.

## `location` (type: `string`):

Keep jobs whose location contains this text, e.g. `San Francisco`, `London`, `remote`.

## `department` (type: `string`):

Keep jobs in departments whose name contains this text, e.g. `Engineering`, `Sales`.

## `workplaceType` (type: `string`):

Remote, hybrid or on-site jobs only.

## `employmentType` (type: `string`):

Full-time, part-time, contract, internship or temporary jobs only.

## `seniority` (type: `string`):

Level, read from the job title.

## `postedSince` (type: `string`):

Only jobs first published since then: relative (`24h`, `7d`, `2w`, `3m`) or a date (`2026-10-01`).

## `salaryFilter` (type: `string`):

Only jobs that publish a pay range, or only jobs that don't.

## `minSalary` (type: `integer`):

Keep jobs whose published pay range reaches at least this amount (in the job's own currency), e.g. `150000`.

## `sortBy` (type: `string`):

Order of each company's jobs.

## `jobUrls` (type: `array`):

Job links or job IDs. Always scraped in full — description, pay ranges and custom fields (billed at the detailed-job rate).

## `maxResultsPerCompany` (type: `integer`):

Maximum number of jobs to scrape per company. Use this to control your cost (1,000 jobs ≈ $1).

## `includeDescription` (type: `boolean`):

Add the full job description (plain text and HTML) to every row. Free — same price per job.

## `scrapeJobDetails` (type: `boolean`):

Also fetch every job's detail page: the employer's published pay ranges (title, min, max, currency, period, note) plus the full description. Still one row per job, billed at the detailed-job rate (1,000 detailed jobs ≈ $2 vs $1 standard). Runs take longer because each job is fetched individually.

## Actor input object example

```json
{
  "companies": [
    "spacex",
    "anthropic",
    "airbnb.com"
  ],
  "searchQuery": "engineer",
  "workplaceType": "",
  "employmentType": "",
  "seniority": "",
  "salaryFilter": "",
  "sortBy": "newest",
  "jobUrls": [
    "https://job-boards.greenhouse.io/anthropic/jobs/4017331008"
  ],
  "maxResultsPerCompany": 100,
  "includeDescription": false,
  "scrapeJobDetails": false
}
```

# Actor output Schema

## `results` (type: `string`):

Every row with every field.

## `overview` (type: `string`):

Title, company, location, salary, workplace, level and link.

## `details` (type: `string`):

Pay ranges, description and custom fields of detailed jobs.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "spacex",
        "anthropic",
        "airbnb.com"
    ],
    "searchQuery": "engineer",
    "maxResultsPerCompany": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/greenhouse-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "companies": [
        "spacex",
        "anthropic",
        "airbnb.com",
    ],
    "searchQuery": "engineer",
    "maxResultsPerCompany": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/greenhouse-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "spacex",
    "anthropic",
    "airbnb.com"
  ],
  "searchQuery": "engineer",
  "maxResultsPerCompany": 100
}' |
apify call omkar-cloud/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/greenhouse-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/MWiZ0elj1jVxZBEcn/builds/DuVuvqoLrZh3EbRKz/openapi.json