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

Extract all job postings from any company's Greenhouse job board via the official public API. No login, no proxies needed. Structured output: title, department, location, salary text, absolute URL.

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Jobs Scraper

Extract **all live job postings** from any company's [Greenhouse](https://www.greenhouse.io/) job board — using Greenhouse's official public Job Board API. No login, no proxies, no HTML parsing flakiness.

### Why this scraper

- **Official API, zero anti-bot risk** — reads `boards-api.greenhouse.io`, the same JSON endpoint the public job board uses.
- **Complete & structured** — title, departments, offices, location, updated/published timestamps, requisition ID, absolute apply URL, optional full description HTML, and Greenhouse metadata custom fields (often contains salary ranges).
- **Multi-company** — pass any number of board tokens in one run.

### Input

| Field | Type | Description |
|---|---|---|
| `boardTokens` | array | Company slugs from the board URL, e.g. `stripe` for `boards.greenhouse.io/stripe` (full URLs also accepted) |
| `includeContent` | boolean | Include full job description HTML (default `true`) |
| `maxJobsPerBoard` | integer | Cap postings per board, `0` = unlimited |

### Output

One dataset item per job posting:

```json
{
  "boardToken": "duolingo",
  "id": 7011451002,
  "title": "Senior Software Engineer, Android",
  "departments": "Engineering",
  "offices": "Pittsburgh",
  "location": "Pittsburgh, PA",
  "updatedAt": "2026-08-01T12:34:56-04:00",
  "absoluteUrl": "https://boards.greenhouse.io/duolingo/jobs/7011451002",
  "contentHtml": "<p>...</p>"
}
```

### Finding board tokens

Company career pages hosted on Greenhouse use URLs like `boards.greenhouse.io/<token>` or `job-boards.greenhouse.io/<token>`. The token is the last path segment.

### Need job postings at scale?

This actor is maintained by [DataForge](https://data.zalize.com) — we publish **ready-made job-postings datasets**: 394K+ active postings from 6,500+ ATS boards (Greenhouse, Lever, Ashby, Workable, SmartRecruiters) with parsed salaries and a skills taxonomy, refreshed monthly. Free full packages: <https://data.zalize.com/datasets/tech-job-postings-salary-dataset>

# Actor input Schema

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

One or more Greenhouse board tokens — the company slug in the board URL, e.g. `stripe` for boards.greenhouse.io/stripe or job-boards.greenhouse.io/stripe.

## `includeContent` (type: `boolean`):

Fetch the full HTML description for each posting (one extra field, same number of requests).

## `maxJobsPerBoard` (type: `integer`):

Safety cap on postings pushed per board (0 = no limit).

## Actor input object example

```json
{
  "boardTokens": [
    "duolingo"
  ],
  "includeContent": true,
  "maxJobsPerBoard": 0
}
```

# 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 = {
    "boardTokens": [
        "duolingo"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zalizedata/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 = { "boardTokens": ["duolingo"] }

# Run the Actor and wait for it to finish
run = client.actor("zalizedata/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 '{
  "boardTokens": [
    "duolingo"
  ]
}' |
apify call zalizedata/greenhouse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zalizedata/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/LzY9oaY6F0ArlAW8X/builds/mm0qLzqZtKQU3wXqr/openapi.json