# Greenhouse Jobs Scraper (`webdatatools/greenhouse-jobs-scraper`) Actor

Greenhouse Jobs Scraper extracts job listings from Greenhouse job boards via the public boards API. Scrape job titles, descriptions, locations, compensation, and more from any Greenhouse-powered careers page.

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

## Pricing

from $0.60 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### What does Greenhouse Jobs Scraper do?

Greenhouse Jobs Scraper extracts job listings from Greenhouse job boards via the public boards API. Greenhouse powers careers pages for thousands of companies including Stripe, Airbnb, and many Fortune 500 companies. This Actor returns structured job data—titles, descriptions, locations, compensation, and more—from any Greenhouse-powered careers page without authentication.

The Actor integrates with Apify's ecosystem: you can run it on a schedule, trigger it from workflows, export results as JSON/CSV, and monitor it in the cloud. No API key needed—the public Greenhouse boards API is accessible from anywhere.

### Why use Greenhouse Jobs Scraper?

- **Real job data**: Extract live job postings from Greenhouse boards at companies large and small
- **Compensation visible**: Greenhouse's API includes salary ranges when companies publish them
- **No authentication**: Public API—no API keys or credentials needed
- **Bulk operations**: Scrape multiple companies in one run
- **Filters included**: Search by keywords, location, department, and remote status
- **Structured output**: JSON rows you can analyze, store in databases, or share
- **Cost-efficient**: ~$0.001 per job extracted

### How to use Greenhouse Jobs Scraper

1. **Get company slugs**: Find the company's board slug from its Greenhouse URL. For example:
   - Stripe → `https://boards.greenhouse.io/stripe` → slug is `stripe`
   - Airbnb → `https://boards.greenhouse.io/airbnb` → slug is `airbnb`

2. **Enter company slugs**: In the Actor's input, paste one or more board slugs separated by semicolons. You can also paste full URLs and the Actor will extract the slug.

3. **Set filters (optional)**: Use keywords to find specific roles (e.g. "engineer"), filter by location (e.g. "San Francisco"), department, or enable remote-only mode.

4. **Run and download**: Click "Start", then download results as JSON, CSV, or Excel from the Output tab.

### Input

The Actor accepts the following parameters:

| Field | Type | Required | Description | Example |
|-------|------|----------|-------------|---------|
| `companies` | string | No | Greenhouse board slugs or URLs, separated by semicolons | `stripe; airbnb` |
| `companyList` | array | No | Alternative input: array of board slugs or URLs | `["stripe", "airbnb"]` |
| `keywords` | string | No | Filter by job title keywords | `engineer` |
| `location` | string | No | Filter by location substring | `San Francisco` |
| `department` | string | No | Filter by department | `Engineering` |
| `remoteOnly` | boolean | No | Return only remote jobs | `true` |
| `includeDescription` | boolean | No | Fetch full job descriptions | `true` |
| `maxJobs` | integer | No | Max jobs per company (default 50) | `100` |

### Output

Each job is returned as a JSON row with the following fields:

```json
{
    "jobId": "123456",
    "url": "https://boards.greenhouse.io/stripe/jobs/123456",
    "title": "Senior Software Engineer",
    "company": "stripe",
    "companyName": "Stripe",
    "department": "Engineering",
    "team": "Infrastructure",
    "location": "San Francisco, CA",
    "locationType": "San Francisco, CA",
    "isRemote": false,
    "employmentType": "Full-time",
    "salaryMin": 150000,
    "salaryMax": 200000,
    "salaryCurrency": "USD",
    "postedAt": "2026-01-15T10:00:00.000Z",
    "updatedAt": "2026-01-20T15:30:00.000Z",
    "description": "We are looking for a Senior Software Engineer...",
    "ats": "greenhouse",
    "scrapedAt": "2026-01-28T12:34:56.789Z"
}
```

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

### Pricing

**Greenhouse Jobs Scraper** costs **$0.001 per job** extracted. This is pay-per-item pricing: you only pay for the jobs actually returned.

**Cost examples:**

- 50 jobs from 1 company = $0.05
- 50 jobs from 5 companies = $0.25
- 1,000 jobs across 10 companies = $1.00

The cost includes fetching the listing page and job details. Free tier on Apify includes $5/month of free Actor runs—enough for ~5,000 jobs monthly.

### Greenhouse Jobs Scraper vs. alternatives

| Feature | Greenhouse Jobs Scraper | Greenhouse API | Job boards aggregators |
|---------|---|---|---|
| **No authentication** | ✓ | ✗ (API key required) | ✓ |
| **Salary data** | ✓ | ✓ | ✗ (often missing) |
| **Multiple companies** | ✓ | ✓ | ✓ |
| **Job descriptions** | ✓ | ✓ | ✗ (usually not included) |
| **Cost per job** | $0.001 | Custom pricing | $0.01–$0.05+ |

The Greenhouse API is ideal if you represent a company using Greenhouse; this Actor is best for researchers, recruiters, and competitive analysis who need data from public boards.

### Using Greenhouse Jobs Scraper with AI agents and MCP

This Actor is available through the Apify MCP server (via Claude Code) and other AI-agent frameworks. Search for `greenhouse-jobs-scraper` and configure with:

```json
{
    "companies": "stripe; airbnb",
    "keywords": "engineer",
    "maxJobs": 50
}
```

MCP agents see the full input schema and documentation. Use natural language to request jobs: "Find all remote engineering roles at Stripe and Airbnb."

### FAQ

**Q: Can I scrape jobs for companies not on Greenhouse?**
A: No. This Actor only works with Greenhouse-powered boards. Check if the company's careers page URL contains `greenhouse.io`.

**Q: Why are salaries missing for some jobs?**
A: Greenhouse salaries are optional—companies control whether to publish them. Missing data is returned as `null`.

**Q: Can I run this Actor on a schedule?**
A: Yes. On Apify, you can set up scheduled runs (daily, weekly, etc.) via the Schedules feature.

**Q: What formats can I export in?**
A: JSON, CSV, Excel, HTML. Use the Export button on the Output tab.

**Q: Is web scraping legal?**
A: Scraping public data (including job listings) is legal. These are public postings on Greenhouse's servers. Always respect `robots.txt` and terms of service. Do not use scraped data for spam or harassment.

**Q: Does Greenhouse have rate limits?**
A: Greenhouse's public boards API is not documented with strict rate limits, but we recommend not running more than one concurrent scrape per board to be respectful.

**Q: How many jobs can I scrape in one run?**
A: The Actor defaults to 50 jobs per company and will page through up to 1,000 jobs per board. Adjust `maxJobs` if needed.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
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### Support

Encountered an issue? Have a suggestion? Visit the [Issues tab](https://apify.com/webdatatools/greenhouse-jobs-scraper/issues) to report it or upvote existing suggestions. For urgent support or custom solutions (e.g. building an Actor for your internal ATS), [contact Apify](https://apify.com/contact).

# Actor input Schema

## `companies` (type: `string`):

Enter the Greenhouse board slug (e.g. stripe) or a careers URL (e.g. https://boards.greenhouse.io/stripe). Separate multiple companies with semicolons.

## `companyList` (type: `array`):

Optional: array of board slugs or URLs, alternative to companies field.

## `keywords` (type: `string`):

Optional: filter jobs by keywords in the title, e.g. 'engineer'. Leave empty to include all jobs.

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

Optional: filter jobs by location substring, e.g. 'San Francisco' or 'Remote'.

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

Optional: filter jobs by department name.

## `remoteOnly` (type: `boolean`):

If true, return only remote jobs.

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

If true, fetch and include the full job description (HTML and plain text).

## `maxJobs` (type: `integer`):

Maximum number of jobs to fetch per company, e.g. 50. Default 50.

## Actor input object example

```json
{
  "companies": "stripe",
  "companyList": [],
  "remoteOnly": false,
  "includeDescription": true,
  "maxJobs": 50
}
```

# Actor output Schema

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

All jobs from this run.

# 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": "stripe"
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/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": "stripe" }

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/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": "stripe"
}' |
apify call webdatatools/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/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/sfYuR92xP4ASyu074/builds/647xySEWXTqxFpGr1/openapi.json