# ATS Jobs Scraper | Greenhouse & Lever Company Boards (`muzafferkadir/ats-jobs-scraper`) Actor

Scrape company job postings from Greenhouse & Lever ATS boards: title, location, department, team, and links. No API key.

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

## Pricing

from $0.50 / 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

## ATS Jobs Scraper

Scrape **job postings straight from company career boards on Greenhouse and Lever** — **title, location, department, team, work type, and a direct apply link**. No API key, nothing to configure.

Add company slugs like `stripe` or `spotify`, get every open role on their board — ready to export to CSV, Excel, or JSON for recruiting, job boards, or hiring-trend research.

### Features

- **Straight from the source** — jobs come from the companies' own career boards, so they are current and complete.
- **Two platforms in one run** — Greenhouse and Lever boards side by side, in one clean schema.
- **Keyword filters** — keep only titles or locations you care about (e.g. `engineer`, `remote`).
- **Full descriptions** — each job includes its description text and last-updated date.

### Use cases

- **Recruiting & sourcing** — watch target companies for new openings.
- **Job boards & aggregators** — feed fresh listings from hundreds of companies.
- **Market research** — track which teams and locations companies are hiring for.
- **Sales signals** — hiring in a department is a buying signal.

### Input

| Field | Type | Description |
| --- | --- | --- |
| `greenhouseBoards` | string\[] | Greenhouse company slugs — the part after `boards.greenhouse.io/`. |
| `leverBoards` | string\[] | Lever company slugs — the part after `jobs.lever.co/`. |
| `titleKeywords` | string\[] | Keep only jobs whose title contains any of these words. |
| `locationKeywords` | string\[] | Keep only jobs whose location contains any of these words. |
| `maxItems` | integer | Max jobs per company board. Default 200. |

Unknown slugs are skipped.

#### Examples

```json
{
  "greenhouseBoards": ["stripe", "figma"],
  "leverBoards": ["spotify"],
  "maxItems": 200
}
```

```json
{
  "greenhouseBoards": ["gitlab", "databricks", "coinbase"],
  "titleKeywords": ["engineer", "developer"],
  "locationKeywords": ["remote"]
}
```

### Output

Each record is one job:

| Field | Description |
| --- | --- |
| `company` / `platform` | Company slug and `greenhouse` or `lever`. |
| `jobId` / `title` / `url` | Job ID, title and apply link. |
| `location` / `workplaceType` | Location and on-site / remote / hybrid when given. |
| `department` / `team` / `commitment` | Department, team and employment type when given. |
| `description` | Job description text. |
| `updatedAt` / `scrapedAt` | Last update on the board and scrape time. |

#### Example

```json
{
  "company": "stripe",
  "platform": "greenhouse",
  "jobId": "8172487",
  "title": "Abuse Investigator",
  "url": "https://stripe.com/jobs/search?gh_jid=8172487",
  "location": "Dublin",
  "department": null,
  "team": null,
  "commitment": null,
  "workplaceType": null,
  "updatedAt": "2026-09-12T13:25:25-04:00",
  "description": "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to...",
  "scrapedAt": "2026-09-23T22:02:59.984Z"
}
```

Download the dataset as **JSON, CSV, Excel, or XML**, or pull it via the Apify API.

### Pricing

Pay-per-event: **$0.01 per run start** (per GB of run memory) plus **$0.50 per 1,000 jobs**. You only pay for jobs actually returned. See the **Pricing** tab for current rates.

### Disclaimer

This is an **unofficial** Actor. It is not affiliated with or endorsed by Greenhouse, Lever, or any company whose board it reads. It returns publicly posted job listings; you are responsible for how you use the data.

# Actor input Schema

## `greenhouseBoards` (type: `array`):

Greenhouse company slugs to scrape (e.g. stripe, gitlab, figma, databricks, coinbase). The slug is the part after boards.greenhouse.io/ in the board URL. Unknown slugs are skipped.

## `leverBoards` (type: `array`):

Lever company slugs to scrape (e.g. spotify, plaid). The slug is the part after jobs.lever.co/ in the board URL. Unknown slugs are skipped.

## `titleKeywords` (type: `array`):

Optional filter. Keep only jobs whose title contains any of these keywords (case-insensitive, OR match). Leave empty to keep all titles.

## `locationKeywords` (type: `array`):

Optional filter. Keep only jobs whose location contains any of these keywords (case-insensitive, OR match). Leave empty to keep all locations.

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

Max jobs per company board.

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

Optional. Leave empty for most runs.

## Actor input object example

```json
{
  "greenhouseBoards": [
    "stripe",
    "figma"
  ],
  "leverBoards": [
    "spotify"
  ],
  "maxItems": 200
}
```

# 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 = {
    "greenhouseBoards": [
        "stripe",
        "figma"
    ],
    "leverBoards": [
        "spotify"
    ],
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("muzafferkadir/ats-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 = {
    "greenhouseBoards": [
        "stripe",
        "figma",
    ],
    "leverBoards": ["spotify"],
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("muzafferkadir/ats-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 '{
  "greenhouseBoards": [
    "stripe",
    "figma"
  ],
  "leverBoards": [
    "spotify"
  ],
  "maxItems": 200
}' |
apify call muzafferkadir/ats-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muzafferkadir/ats-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/cf7eTUjAFvETz5Key/builds/9ufQG539KhnuRkptR/openapi.json