# ATS Job Scraper: Greenhouse, Lever, Ashby, Workable (`kravennagen/ats-job-board-scraper`) Actor

Extract structured job listings, locations, and descriptions directly from Greenhouse, Lever, Ashby, and Workable ATS career pages.

- **URL**: https://apify.com/kravennagen/ats-job-board-scraper.md
- **Developed by:** [Morgane Flamant](https://apify.com/kravennagen) (community)
- **Categories:** Lead generation, Automation, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 extracted job postings

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

## 💼 Multi-Platform ATS Job Board Scraper (Greenhouse, Lever, Ashby & Workable)

A lightweight, high-speed **Apify Actor** built in Python to extract normalized job listings, departments, locations, remote status, application links, and descriptions across top ATS job platforms: **Greenhouse**, **Lever**, **Ashby**, and **Workable**.

***

### 🌟 Key Features

- **⚡ Pure Direct API Queries**: Hits underlying public REST APIs directly with `httpx` async requests. No heavy headless browsers (~128MB RAM footprint).
- **🏢 Multi-Platform Support**: Scrape corporate job boards from Greenhouse, Lever, Ashby, and Workable in a single run.
- **🎯 Unified Output Schema**: Standardized data fields regardless of which ATS platform host the posting.
- **📍 Remote Detection & Location Parsing**: Automatically flags remote positions and normalizes department and location data.
- **📝 Rich HTML & Plaintext Descriptions**: Extracts both clean plain text and raw HTML formatted job descriptions.

***

### 📥 Input Parameters

The Actor accepts the following input settings in JSON format:

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `targets` | `array` | *(See example)* | List of target objects containing `platform` enum (`greenhouse`, `lever`, `ashby`, `workable`) and company `identifier` / slug. |
| `maxJobsPerTarget` | `integer` | `100` | Maximum number of job postings to retrieve per target company board. |
| `includeFullDescription` | `boolean` | `true` | When enabled, fetches full job description in plain text and HTML. |

#### Example Input JSON

```json
{
  "targets": [
    {
      "platform": "greenhouse",
      "identifier": "stripe"
    },
    {
      "platform": "lever",
      "identifier": "leverdemo"
    },
    {
      "platform": "ashby",
      "identifier": "openai"
    },
    {
      "platform": "workable",
      "identifier": "seeq"
    }
  ],
  "maxJobsPerTarget": 50,
  "includeFullDescription": true
}
```

***

### 📤 Output Format

Each job posting in the output dataset follows a standardized schema:

```json
{
  "company": "stripe",
  "platform": "greenhouse",
  "job_id": "4912039",
  "title": "Software Engineer, Backend",
  "department": "Engineering",
  "location": "San Francisco, CA, US",
  "is_remote": true,
  "published_at": "2026-02-10T15:30:00.000Z",
  "apply_url": "https://boards.greenhouse.io/stripe/jobs/4912039#app",
  "description_html": "<div><p>Stripe is building financial infrastructure...</p></div>",
  "description_text": "Stripe is building financial infrastructure..."
}
```

***

### 🚀 Running Locally

#### Step 1: Install Dependencies

```bash
pip install -r requirements.txt
```

#### Step 2: Run the Actor

```bash
python -m src
```

***

### 🐳 Docker Support

To build and run containerized:

```bash
docker build -t ats-job-scraper .
docker run -it ats-job-scraper
```

# Actor input Schema

## `targets` (type: `array`):

List of companies / boards to scrape.

## `maxJobsPerTarget` (type: `integer`):

Maximum number of jobs to fetch per target board.

## `includeFullDescription` (type: `boolean`):

Whether to include full job description (both HTML and text) in the output.

## Actor input object example

```json
{
  "targets": [
    {
      "platform": "greenhouse",
      "identifier": "stripe"
    },
    {
      "platform": "lever",
      "identifier": "leverdemo"
    },
    {
      "platform": "ashby",
      "identifier": "openai"
    },
    {
      "platform": "workable",
      "identifier": "seeq"
    }
  ],
  "maxJobsPerTarget": 100,
  "includeFullDescription": true
}
```

# Actor output Schema

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

Clean structured job listings from Greenhouse, Lever, Ashby, and Workable

# 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 = {
    "targets": [
        {
            "platform": "greenhouse",
            "identifier": "stripe"
        },
        {
            "platform": "lever",
            "identifier": "leverdemo"
        },
        {
            "platform": "ashby",
            "identifier": "openai"
        },
        {
            "platform": "workable",
            "identifier": "seeq"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kravennagen/ats-job-board-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 = { "targets": [
        {
            "platform": "greenhouse",
            "identifier": "stripe",
        },
        {
            "platform": "lever",
            "identifier": "leverdemo",
        },
        {
            "platform": "ashby",
            "identifier": "openai",
        },
        {
            "platform": "workable",
            "identifier": "seeq",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("kravennagen/ats-job-board-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 '{
  "targets": [
    {
      "platform": "greenhouse",
      "identifier": "stripe"
    },
    {
      "platform": "lever",
      "identifier": "leverdemo"
    },
    {
      "platform": "ashby",
      "identifier": "openai"
    },
    {
      "platform": "workable",
      "identifier": "seeq"
    }
  ]
}' |
apify call kravennagen/ats-job-board-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kravennagen/ats-job-board-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/18rDdCm8h7fhXVHD5/builds/hhLb4NpJtNx9qBHVd/openapi.json