# Greenhouse Jobs Scraper — ATS Postings & Careers (`intelscrape/greenhouse-jobs-scraper`) Actor

Scrape Greenhouse ATS job boards — title, location, department, apply URL, updatedAt. Company slug or board URL. Query-first. Demo mode. Pay per job.

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

## Pricing

from $2.00 / 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?

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

![Actor Banner](https://api.apify.com/v2/key-value-stores/PyvJzfQg02FD3RYhd/records/greenhouse-jobs-scraper-banner.png)

Scrape public **Greenhouse** ATS boards via the boards API: title, location, department, apply URL.

### Input

- `companySlugs` — board tokens (airbnb, stripe, …)
- `keyword` — optional title filter
- `maxItems` / `demoMode`
- `includeJobsSummary` — default ON; pushes one `jobs-summary` row with SoftCTA mesh

### Soft CTA — next steps after jobs

Each job row and the `jobs-summary` row include a SoftCTA mesh (links only, **no extra PPE**):

- [Contact Info Scraper](https://apify.com/intelscrape/contact-info-scraper) — company domain emails/phones
- [B2B Lead Generator](https://apify.com/intelscrape/b2b-lead-generator) — B2B outreach packs
- [Website Leads](https://apify.com/intelscrape/website-Leads) — site crawl contacts
- [Google Maps Email Extractor](https://apify.com/intelscrape/google-maps-email-extractor) — local business emails
- [TruePeopleSearch](https://apify.com/intelscrape/truepeoplesearch-scraper) / [Skip Trace PRO](https://apify.com/intelscrape/skip-trace-pro) — people enrichment

SoftCTA only — Skip Trace PRO code stays frozen (link only). No self-link to this actor.

### Pricing

Pay per job + actor start. SoftCTA deepen does **not** change PPE events or prices.

# Actor input Schema

## `companySlugs` (type: `array`):

Greenhouse board slugs (e.g. airbnb, stripe).

## `keyword` (type: `string`):

Optional case-insensitive title filter.

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

Maximum number of jobs to push (1–2000).

## `demoMode` (type: `boolean`):

When true, push fixture jobs for Store preview (always ≥1 items).

## `includeJobsSummary` (type: `boolean`):

When true (default), push one jobs-summary dataset row with SoftCTA mesh after jobs.

## Actor input object example

```json
{
  "companySlugs": [
    "airbnb",
    "stripe"
  ],
  "maxItems": 50,
  "demoMode": false,
  "includeJobsSummary": true
}
```

# Actor output Schema

# 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 = {
    "companySlugs": [
        "airbnb",
        "stripe"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("intelscrape/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 = { "companySlugs": [
        "airbnb",
        "stripe",
    ] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,intelscrape/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/fFJOfwmNu8cH60b7v/builds/U0TudQhTi2iZ7xPWh/openapi.json