# Greenhouse Jobs Scraper (`robertosan16/greenhouse-jobs-scraper`) Actor

Scrape all open jobs of any company on Greenhouse: title, department, locations, salary range, description and apply link. Keyword, location, remote and date filters, and an only-new mode for monitoring.

- **URL**: https://apify.com/robertosan16/greenhouse-jobs-scraper.md
- **Developed by:** [Robert Khairislamov](https://apify.com/robertosan16) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$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

**Scrape all jobs of any company on Greenhouse.** Get title, department, location, salary range, description, apply link and posting date. Export to JSON, CSV or Excel, or use the API. **$1 per 1,000 jobs, no start fee.**

Scrape every open job from any company that hires with **Greenhouse**: title, department, office locations, **salary range**, full description, posting date and apply link. Add several companies at once, filter by keyword, location, remote or date, and run it on a schedule to get **only new jobs**. Fast and reliable: it reads the official public Greenhouse job board API, with no browser and no login.

### What can this Greenhouse scraper do?

- 🏢 **Scrape many companies in one run**: Airbnb, Stripe, Figma, Discord, Datadog and thousands of other Greenhouse boards.
- 💰 **Salary ranges**: the structured pay ranges companies publish on Greenhouse (pay transparency), plus ranges found in the description text, as `min`, `max`, `currency` and `interval`.
- 🔎 **Filters**: title keywords, excluded words, locations, remote only, departments, posted in the last N days, only jobs with a salary.
- 🆕 **Only new jobs since the last run**: perfect for job alerts, recruiting pipelines and hiring signals.
- 🧾 **Clean text and HTML descriptions**: the escaped Greenhouse HTML is decoded for you.
- 🔗 **Accepts any link format**: `airbnb`, `boards.greenhouse.io/airbnb`, `job-boards.greenhouse.io/figma`, embedded boards (`?for=discord`) or job links.
- 🧩 **Same output as our other job scrapers**, listed at the end of this page, so jobs from company career sites and job boards fit into one table.

### What data does it extract?

| Field | Example |
|---|---|
| `title` | Account Manager |
| `companyName` / `company` | Airbnb / airbnb |
| `department` | Business Development |
| `location` / `locations` | London, United Kingdom |
| `remote` / `workplaceType` | false / hybrid |
| `salary` | `{ "min": 46000, "max": 54000, "currency": "GBP", "interval": "year" }` |
| `postedAt` / `updatedAt` | 2026-09-09T08:35:19.000Z |
| `jobUrl` / `applyUrl` | https://careers.airbnb.com/positions/8184174?gh\_jid=8184174 |
| `descriptionText` / `descriptionHtml` | full job description |
| `jobId` / `requisitionId` | 8184174 |

### How to scrape Greenhouse jobs

1. Add the companies: the board name (`airbnb`) or any Greenhouse link. The board name is the part after `greenhouse.io/` in the company's job links.
2. Optionally set filters: keywords such as `engineer` or `product manager`, locations such as `London` or `Remote`, a date range.
3. Click **Start**. Download the jobs as JSON, CSV, Excel or HTML, or get them through the API.

#### Example input

```json
{
  "companies": ["airbnb", "https://job-boards.greenhouse.io/figma", "stripe"],
  "keywords": ["engineer", "data scientist"],
  "locations": ["United States", "Remote"],
  "postedWithinDays": 7
}
```

#### Example output

```json
{
  "ats": "greenhouse",
  "company": "airbnb",
  "companyName": "Airbnb",
  "jobId": "8184174",
  "requisitionId": "MULTI",
  "title": "Account Manager",
  "department": "Business Development",
  "team": null,
  "location": "London, United Kingdom",
  "locations": ["London, United Kingdom"],
  "remote": false,
  "workplaceType": "hybrid",
  "employmentType": null,
  "salary": { "min": 46000, "max": 54000, "currency": "GBP", "interval": "year", "text": "GBP 46,000–54,000 per year", "source": "ats" },
  "postedAt": "2026-09-09T08:35:19.000Z",
  "updatedAt": "2026-09-18T08:55:55.000Z",
  "jobUrl": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174",
  "applyUrl": "https://careers.airbnb.com/positions/8184174?gh_jid=8184174",
  "descriptionText": "Airbnb was born in 2007 when two hosts welcomed three guests…",
  "descriptionHtml": "<div class=\"content-intro\">…",
  "scrapedAt": "2026-09-24T15:20:21.292Z"
}
```

### Use cases

- **Job boards and aggregators**: keep a niche job board filled with fresh roles from hand-picked companies.
- **Recruiting and sourcing**: watch target companies and react the day a role opens.
- **Sales and lead generation**: hiring is a buying signal. Find companies hiring for roles your product serves.
- **Salary research**: collect pay ranges by role, location and company.
- **Market and competitor research**: track which teams your competitors are growing.
- **AI agents and job alerts**: feed structured jobs into an LLM, a Slack alert or a spreadsheet.

### How much does it cost?

You pay only for the jobs you get: **$1 per 1,000 jobs**. No start fee and no monthly rent. Jobs that don't match your filters are free. The Apify free plan covers thousands of jobs every month.

### Tips

- **Job alerts**: save the input as a task, turn on **Only new jobs since the last run** and add a schedule, for example every morning. Each run returns only the jobs posted since the previous one.
- **Salary data only**: turn on **Only jobs with a salary**.
- **Smaller results**: turn off **Include job descriptions**.
- **Many companies**: add as many boards as you like; they are scraped in parallel. A run summary with jobs found and errors per company is saved in the key-value store as `SUMMARY`.

### FAQ

**How do I find a company's Greenhouse board name?** Open any job of the company. If the link contains `greenhouse.io/<name>` or `gh_jid=`, the company uses Greenhouse, and `<name>` is the board name. For a company's own careers site with `gh_jid` links, the board name is often the company name, for example `stripe`.

**Is it legal to scrape Greenhouse?** The Actor reads the public job board API that Greenhouse offers for publishing jobs. Job postings are public business information, not personal data. Check the terms that apply to your use case.

**Why is `salary` empty for some jobs?** Not every company publishes pay. When a range is published on Greenhouse or written in the description, it is extracted; `salary.source` tells you which.

### More job scrapers with the same output

- [Lever Jobs Scraper](https://apify.com/robertosan16/lever-jobs-scraper): every job of any company on Lever, including EU sites
- [Ashby Jobs Scraper](https://apify.com/robertosan16/ashby-jobs-scraper): startup jobs from Ashby job boards, with compensation
- [Workday Jobs Scraper](https://apify.com/robertosan16/workday-jobs-scraper): every job from any Workday career site, past the 2,000 search limit
- [Dice Jobs Scraper](https://apify.com/robertosan16/dice-jobs-scraper): US tech jobs from Dice.com, with skills and salaries
- [Welcome to the Jungle Jobs Scraper](https://apify.com/robertosan16/welcome-to-the-jungle-jobs-scraper): startup jobs in France, Europe, the UK and the US
- [SEEK Jobs Scraper](https://apify.com/robertosan16/seek-jobs-scraper): jobs in Australia and New Zealand, with salaries as numbers
- [StepStone Jobs Scraper](https://apify.com/robertosan16/stepstone-jobs-scraper): jobs in Germany, with benefits and English-language jobs

Missing a field or a feature? Open an issue in the Issues tab and we will reply quickly.

# Actor input Schema

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

Greenhouse job boards to scrape. Enter the board name, for example <code>airbnb</code>, or paste a link such as <code>https://job-boards.greenhouse.io/figma</code> or <code>https://boards.greenhouse.io/stripe</code>. The board name is the part of the link after <code>greenhouse.io/</code>.

## `keywords` (type: `array`):

Keep jobs whose title contains any of these words or phrases, for example <code>engineer</code> or <code>product manager</code>. Common word endings are included: <code>engineer</code> also finds "Engineering". Add <code>*</code> for any ending: <code>data*</code>.

## `excludeKeywords` (type: `array`):

Skip jobs whose title contains any of these, for example <code>intern</code> or <code>senior</code>.

## `locations` (type: `array`):

Keep jobs in any of these places, for example <code>London</code>, <code>Germany</code> or <code>CA</code>. Whole words are matched, so <code>CA</code> does not match "Canada". <code>Remote</code> also keeps remote jobs.

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

Keep only jobs marked as remote or with "Remote" in a location.

## `departments` (type: `array`):

Keep jobs whose department or team contains any of these words, for example <code>Engineering</code> or <code>Sales</code>.

## `postedWithinDays` (type: `integer`):

Keep jobs published in the last N days: 1 means today and yesterday. Leave empty or 0 for any date.

## `onlyWithSalary` (type: `boolean`):

Keep only jobs with a pay range, from the job board or found in the description.

## `onlyNew` (type: `boolean`):

For scheduled runs: save only jobs that were not seen in earlier runs of the same saved task. The first run saves all current jobs and remembers them. Jobs that did not match your filters are remembered too.

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

Save the full job description as plain text and HTML. Turn off for smaller results.

## `maxItems` (type: `integer`):

Stop after saving this many jobs. Leave empty or 0 for no limit. The example is kept small so the first run takes seconds.

## `maxItemsPerCompany` (type: `integer`):

Save at most this many jobs from each company. Leave empty or 0 for no limit.

## `proxyConfiguration` (type: `object`):

Not needed in most cases: the job board APIs are public. Turn on Apify Proxy if a site limits your requests.

## Actor input object example

```json
{
  "companies": [
    "airbnb",
    "https://job-boards.greenhouse.io/figma"
  ],
  "remoteOnly": false,
  "onlyWithSalary": false,
  "onlyNew": false,
  "includeDescription": true,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

Job postings with title, company, locations, salary, dates, description and links.

## `summary` (type: `string`):

Jobs found, matched and saved for each company, with errors.

# 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": [
        "airbnb",
        "https://job-boards.greenhouse.io/figma"
    ],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("robertosan16/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": [
        "airbnb",
        "https://job-boards.greenhouse.io/figma",
    ],
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("robertosan16/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": [
    "airbnb",
    "https://job-boards.greenhouse.io/figma"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call robertosan16/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,robertosan16/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/CF2hrHKzxtxlpByW5/builds/qoN9eVxtZGse9RTXX/openapi.json