# Greenhouse Job Board Listings Scraper (`scrapers_lat/greenhouse-jobs-scraper`) Actor

Scrape Greenhouse job board listings by company board token. Extract job title, location, department, offices, requisition ID, posting date, apply URL and full HTML description. Filter by keyword. Export JSON, CSV or Excel. No login or API key.

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

## Pricing

from $6.15 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

[![Greenhouse Job Board Listings Scraper](https://scrapers.lat/banners/greenhouse-jobs-scraper.png)](https://console.apify.com/actors/BhybNbJDIpxddhodt/input)

## Greenhouse Job Board Listings Scraper

> Extract every open job from any company hiring on Greenhouse ATS, straight from the public board, with title, location, department, full description and disclosed salary ranges

**📥 [Input](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples)**

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify\&logoColor=white)
![Coverage](https://img.shields.io/badge/Coverage-Any%20Greenhouse%20board-blue)
![Maintained](https://img.shields.io/badge/Maintained-Yes-brightgreen)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)

<table><tr>
<td align="center"><strong>23 fields</strong><br>incl. salary ranges</td>
<td align="center"><strong>Any company</strong><br>on Greenhouse</td>
<td align="center"><strong>JSON / CSV / Excel</strong><br>output formats</td>
</tr></table>

<br>

### Who is it for

| Use case | Who benefits |
|---|---|
| Track open roles at target companies for candidate outreach | Recruiters and staffing agencies |
| Read hiring signals to time sales and prospecting | Sales and revenue teams |
| Monitor competitor headcount and team growth | Market and competitive researchers |
| Build a live job board or ATS aggregator feed | Job board and marketplace builders |
| Analyze roles, locations and departments at scale | Talent and labor market analysts |

### Frequently Asked Questions

**What is a Greenhouse board token and how do I find it?**
The board token is the company slug in its Greenhouse careers URL. If a company applies through boards.greenhouse.io/stripe, the token is stripe. You can paste the token, the full URL, or the slug and the scraper will normalize it. Add one token per company you want to scrape.

**How many jobs can it return per company?**
It returns every open role on the board, which ranges from a few dozen to several hundred per company. Use Max Items to cap the total across all board tokens when you only need a sample.

**Can I scrape several companies in one run?**
Yes. Add multiple board tokens and the scraper collects jobs from each board in turn, tagging every record with its boardToken so you can tell them apart. The Max Items limit applies to the combined total.

**How do I filter to specific roles?**
Use the Keyword filter to keep only jobs whose title, department, location or description contain your keyword, for example "engineer", "remote" or "sales". Leave it empty to return every open job.

**What happens if a board token does not exist?**
The scraper records an error row for that token with the reason and moves on to the next company, so one bad token never stops the run.

### Example use cases

Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:

- [Stripe Jobs Scraper - Greenhouse Career Openings](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-stripe-jobs-scraper): Scrape every open Stripe job from Greenhouse with titles, locations, departments, apply URLs and full descriptions. Fast public data, no proxy.
- [Airbnb Jobs Scraper - Greenhouse Career Openings](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-airbnb-jobs-scraper): Extract all open Airbnb roles from Greenhouse: job titles, offices, departments, posting dates and apply links. Fast public data, no proxy needed.
- [Figma Jobs Scraper - Greenhouse Career Openings](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-figma-jobs-scraper): Pull every open Figma position from Greenhouse with titles, locations, teams, dates and application URLs. Fast public API data, no proxy required.
- [Databricks Jobs Scraper - Greenhouse Openings](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-databricks-jobs-scraper): Scrape all Databricks openings from Greenhouse: titles, locations, departments, apply URLs and full descriptions. Fast public data, no proxy.
- [GitLab Remote Jobs Scraper - Greenhouse Careers](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-gitlab-remote-jobs-scraper): Collect every open GitLab remote role from Greenhouse with titles, locations, teams and apply links. Fast public data, no proxy needed.
- [Coinbase Jobs Scraper - Greenhouse Crypto Careers](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-coinbase-crypto-jobs-scraper): Extract all Coinbase crypto job openings from Greenhouse: titles, locations, departments and apply URLs. Fast public data, no proxy required.
- [Anthropic Jobs Scraper - Greenhouse AI Careers](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-anthropic-ai-jobs-scraper): Scrape every open Anthropic AI job from Greenhouse with titles, locations, teams, dates and full descriptions. Fast public data, no proxy.
- [Cloudflare Jobs Scraper - Greenhouse Openings](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-cloudflare-jobs-scraper): Pull all open Cloudflare roles from Greenhouse: job titles, offices, departments and apply links. Fast public API data, no proxy needed.
- [Instacart Jobs Scraper - Greenhouse Career Data](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-instacart-jobs-scraper): Collect every open Instacart position from Greenhouse with titles, locations, teams and apply URLs. Fast public data, no proxy required.
- [Fintech Engineer Jobs Scraper - Greenhouse Boards](https://apify.com/scrapers_lat/greenhouse-jobs-scraper/examples/greenhouse-fintech-engineer-jobs-scraper): Scrape engineer roles across Stripe, Robinhood and Brex on Greenhouse in one run: titles, locations, teams and apply URLs. Fast public data, no proxy.

### Export, API and AI agents (x402 + MCP)

Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.

For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).

### Related scrapers

Need data from the same space? Here are other scrapers we build and maintain:

- [Seek Australia Jobs & Salary Scraper](https://apify.com/scrapers_lat/seek-jobs-scraper): Job listings and salary data from Seek Australia and New Zealand.
- [Jora Jobs & Salary Scraper](https://apify.com/scrapers_lat/jora-jobs-scraper): Job postings and pay ranges across Jora in Australia, NZ and Asia.
- [GetOnBrd LATAM Tech Jobs Scraper](https://apify.com/scrapers_lat/getonbrd-scraper): Latin American tech job listings with salary data.
- [LinkedIn Jobs & Company Scraper](https://apify.com/scrapers_lat/linkedin-jobs-scraper): Job postings with company, seniority and location fields.
- [Crunchbase Company & Funding Scraper](https://apify.com/scrapers_lat/crunchbase-scraper): Company profiles, funding rounds and investor data.
- [Product Hunt Products & Makers Scraper](https://apify.com/scrapers_lat/product-hunt-scraper): Product launches, upvotes and maker profiles.

### More scrapers at scrapers.lat

This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).

***

> This actor is an independent tool and has no affiliation with Greenhouse. It only accesses data that is publicly available on company job boards. Use it in accordance with Greenhouse's terms of service.

# Actor input Schema

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

Maximum number of job listings to collect across all board tokens. Optional.

## `withDescription` (type: `boolean`):

When enabled, each job includes the full HTML description, plain-text description, departments, offices and metadata. When disabled, only the lightweight listing fields (title, location, apply URL, dates) are collected.

## `boardTokens` (type: `array`):

Greenhouse board tokens of the companies to scrape. The token is the company slug in its careers URL, for example boards.greenhouse.io/stripe means the token is "stripe". Add one token per company.

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

Optional keyword to filter jobs after they are fetched. Matches against the job title, department, location and description (case-insensitive). Leave empty to return every open job.

## `enrichContacts` (type: `boolean`):

Optional paid add-on, off by default. For each result without an email, attempt to find a public business contact email and a contact person's name. Billed per attempt, plus an extra charge only when an email is found.

## `enrichContactsMax` (type: `integer`):

Cap how many results the add-on tries to enrich, to control add-on cost. Leave empty to attempt all. Free Apify accounts are capped at 3.

## Actor input object example

```json
{
  "maxJobs": 10,
  "withDescription": true,
  "boardTokens": [
    "stripe",
    "airbnb",
    "figma"
  ],
  "enrichContacts": false,
  "enrichContactsMax": 50
}
```

# Actor output Schema

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

No description

# 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 = {
    "maxJobs": 10,
    "boardTokens": [
        "stripe",
        "airbnb",
        "figma"
    ],
    "searchQuery": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/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 = {
    "maxJobs": 10,
    "boardTokens": [
        "stripe",
        "airbnb",
        "figma",
    ],
    "searchQuery": "",
}

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

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

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

```

## CLI example

```bash
echo '{
  "maxJobs": 10,
  "boardTokens": [
    "stripe",
    "airbnb",
    "figma"
  ],
  "searchQuery": ""
}' |
apify call scrapers_lat/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapers_lat/greenhouse-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/BhybNbJDIpxddhodt/builds/KkA6BcLXBQ9DyhSMB/openapi.json
