# Greenhouse Jobs Scraper (`brightpath-data/greenhouse-jobs`) Actor

Live job postings from any company's Greenhouse job board, with date filters the incumbents lack

- **URL**: https://apify.com/brightpath-data/greenhouse-jobs.md
- **Developed by:** [Nick Randall](https://apify.com/brightpath-data) (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 job posting records

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

Live job postings from any company's Greenhouse job board, with date filters the incumbents lack.

Get clean, structured job listings from a company's public Greenhouse board as JSON, CSV or Excel, or call it as a tool from Claude, Cursor, ChatGPT or any MCP client. Pay only for the results you receive.

### What you get

Give it one or more Greenhouse board tokens or careers URLs and it returns every open job on that board: title, department, office/location, remote flag, posted and updated dates, the job's own listing URL, and a plain-text description with HTML stripped.

Every result is a flat record with stable field names, so it drops straight into a spreadsheet, a database or an AI agent's context.

### Why use this instead of the website

- Posted-after and updated-after date filters the leading incumbent does not offer
- Full job descriptions and every department and office in one run, no caps
- Filters and pagination handled for you, with automatic retries
- Results in JSON, CSV, Excel or via API, or piped into Zapier, Make, n8n and Google Sheets
- Works as an MCP tool, so AI agents can fetch open roles on demand
- No browser, no proxies, no personal data: fast runs and a tiny cost per result

### Input

| Field | Type | Default | Meaning |
|-------|------|---------|---------|
| `companies` | array | | Greenhouse board tokens or careers URLs, e.g. `airbnb` or `https://boards.greenhouse.io/airbnb` |
| `postedAfter` | string | | ISO date; only jobs first posted on or after this date |
| `updatedAfter` | string | | ISO date; only jobs posted or last updated on or after this date |
| `maxResults` | integer | 200 | Cap on results saved. You are charged per result, so this caps your cost. |

Example input:

```json
{
  "companies": ["airbnb"],
  "maxResults": 200
}
```

### Output

Example result:

```json
{
  "ats": "greenhouse",
  "company": "airbnb",
  "jobId": "7010123456",
  "title": "Software Engineer, Trust",
  "department": "Engineering",
  "location": "Remote - US",
  "remote": true,
  "employmentType": null,
  "url": "https://job-boards.greenhouse.io/airbnb/jobs/7010123456",
  "postedAt": "2026-08-15T00:00:00Z",
  "updatedAt": "2026-09-01T00:00:00Z",
  "description": "We are looking for a Software Engineer to join our Trust team..."
}
```

Field reference: `ats`, `company`, `jobId`, `title`, `department`, `location`, `remote`, `employmentType` (Greenhouse's list endpoint does not carry this, always null), `url`, `postedAt`, `updatedAt`, `description`.

### Pricing

Pay per event. You are charged **$2.00 per 1,000 results** saved to the dataset, plus a fraction of a cent per run start. Nothing is charged for results you do not receive. Set "Max total charge per run" in the run options to cap spending on any run. When a run reaches your cap it stops cleanly and keeps everything it already saved.

Rough guide: 1,000 results cost $2.00 and take about 20 seconds.

### Use it from an AI agent (MCP)

This Actor is available as an MCP tool through the Apify MCP server. Add it to your client, then ask the agent for the data in plain language.

Claude Desktop, Claude Code or Cursor (`mcp.json` / `claude_desktop_config.json`):

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?actors=brightpath-data/greenhouse-jobs",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}
```

ChatGPT and other clients that support remote MCP servers: add `https://mcp.apify.com/?actors=brightpath-data/greenhouse-jobs` as a connector with your Apify token.

Example prompt once connected: "List every open engineering role at Airbnb posted in the last 30 days."

### Use it from code

```bash
curl -X POST "https://api.apify.com/v2/acts/brightpath-data~greenhouse-jobs/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["airbnb"],"maxResults":200}'
```

Python:

```python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("brightpath-data/greenhouse-jobs").call(run_input={"companies": ["airbnb"], "maxResults": 200})
items = client.dataset(run["defaultDatasetId"]).list_items().items
```

### Limits and fair use

- Up to 10,000 results per run.
- A company with no public Greenhouse board returns nothing for that entry rather than an error.
- Need jobs from more than one ATS in a single run? See `career-site-jobs`, which covers 10 platforms including Greenhouse.

### Data source and legal

Data comes from the public, unauthenticated Greenhouse Job Board API (`boards-api.greenhouse.io`) that every Greenhouse customer's career site is built on. This Actor collects public, non-personal data only and does not bypass logins, paywalls or access controls. You are responsible for how you use the data.

### Support

Found a problem or need a field added? Open an issue on the Actor's Issues tab. Fixes for broken runs are prioritized.

# Actor input Schema

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

Greenhouse board tokens or careers URLs, one per entry (e.g. "airbnb" or "https://boards.greenhouse.io/airbnb").

## `postedAfter` (type: `string`):

ISO date (e.g. 2026-08-01). Only jobs first posted on or after this date are returned. Leave empty for no filter.

## `updatedAfter` (type: `string`):

ISO date. Only jobs posted or last updated on or after this date are returned. Leave empty for no filter.

## `maxResults` (type: `integer`):

Maximum number of jobs to save. You are charged per result saved, so this also caps the cost of a run.

## Actor input object example

```json
{
  "companies": [
    "airbnb"
  ],
  "maxResults": 200
}
```

# Actor output Schema

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

The dataset with one flat record per result. Append ?format=csv or ?format=xlsx to the URL for other formats.

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

OUTPUT record in the key-value store: counts of results pushed and charged, requests, retries and duration.

# 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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("brightpath-data/greenhouse-jobs").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"] }

# Run the Actor and wait for it to finish
run = client.actor("brightpath-data/greenhouse-jobs").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"
  ]
}' |
apify call brightpath-data/greenhouse-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brightpath-data/greenhouse-jobs"
        }
    }
}
```

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/SWYGztfhbPpD11Twk/builds/ANnvVaAtEcap8vOzO/openapi.json