# ATS Job Scraper — Greenhouse, Lever & Ashby (`eins332570/ats-job-scraper`) Actor

Scrape live job postings from Greenhouse, Lever, and Ashby job boards into one unified dataset. Public APIs, no login, no proxy needed.

- **URL**: https://apify.com/eins332570/ats-job-scraper.md
- **Developed by:** [thanachit singruang](https://apify.com/eins332570) (community)
- **Categories:** Jobs, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

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/platform/actors/running/actors-in-store#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

## ATS Job Scraper — Greenhouse, Lever, Ashby, SmartRecruiters & Recruitee

Scrape live job postings from **Greenhouse**, **Lever**, **Ashby**, **SmartRecruiters**, and **Recruitee** job boards into **one unified dataset** — in a single run. No login, no proxies, no browser. Just clean, structured job data.

Most scrapers cover only one board. This one merges the five most common startup/tech ATS platforms, so you can pull an entire market (or your whole competitive set) at once.

### What you get

Every posting is returned as one row with the same fields, no matter which board it came from:

| Field | Description |
|---|---|
| `source` | `greenhouse` / `lever` / `ashby` / `smartrecruiters` / `recruitee` |
| `company` | the board token you provided |
| `jobId` | the posting's ID on that board |
| `title` | job title |
| `location` | location string |
| `department` | team / department (when available) |
| `employmentType` | full-time / contract, etc. (when available) |
| `url` | direct link to the posting |
| `updatedAt` | ISO timestamp (when available) |
| `description` | full description (only if **Include full description** is on) |

### Input

```json
{
  "sources": [
    { "platform": "greenhouse", "company": "airbnb" },
    { "platform": "lever", "company": "spotify" },
    { "platform": "ashby", "company": "Ashby" },
    { "platform": "smartrecruiters", "company": "Equus" },
    { "platform": "recruitee", "company": "channable" }
  ],
  "includeDescription": false,
  "maxItemsPerSource": 0
}
```

- **sources** — a list of `{ platform, company }`. `company` is the board token in the careers URL:
  - `boards.greenhouse.io/airbnb` → `"airbnb"`
  - `jobs.lever.co/spotify` → `"spotify"`
  - `jobs.ashbyhq.com/Ashby` → `"Ashby"`
  - `jobs.smartrecruiters.com/Equus` → `"Equus"`
  - `channable.recruitee.com` → `"channable"`
- **includeDescription** — fetch each posting's full description (larger output). Default `false`. *(Not available for SmartRecruiters, whose list API doesn't carry descriptions.)*
- **maxItemsPerSource** — cap jobs per source (`0` = no limit).

### Why it's reliable & cheap

All five platforms expose **public JSON APIs**, so this Actor never runs a headless browser and never hits anti-bot walls. That means fast runs, tiny compute cost, and stable output. Transient errors (rate limits, 5xx, network blips) are retried automatically, and an unreachable or unknown company is reported and skipped — one bad source never fails the whole run.

### Use cases

- Recruiting & sourcing — fresh roles from a set of target companies
- HR-tech / job-board aggregation
- Competitive & market intelligence (who's hiring, for what, where)
- Feeding an AI job-matcher or lead-gen pipeline

### Pricing

Pay-per-event: you're billed per job returned. Runs that return nothing cost nothing.

# Actor input Schema

## `sources` (type: `array`):

List of job boards to scrape. Each item is { "platform": "greenhouse" | "lever" | "ashby" | "smartrecruiters" | "recruitee", "company": "board-token" }. The company is the board token in the careers URL: boards.greenhouse.io/airbnb → "airbnb", jobs.lever.co/spotify → "spotify", jobs.ashbyhq.com/Ashby → "Ashby", jobs.smartrecruiters.com/Equus → "Equus", <company>.recruitee.com → "<company>".

## `includeDescription` (type: `boolean`):

Fetch each posting's full job description (larger output).

## `maxItemsPerSource` (type: `integer`):

Cap the number of jobs returned per source (0 = no limit).

## Actor input object example

```json
{
  "sources": [
    {
      "platform": "greenhouse",
      "company": "airbnb"
    },
    {
      "platform": "lever",
      "company": "spotify"
    },
    {
      "platform": "ashby",
      "company": "Ashby"
    },
    {
      "platform": "smartrecruiters",
      "company": "Equus"
    },
    {
      "platform": "recruitee",
      "company": "channable"
    }
  ],
  "includeDescription": false,
  "maxItemsPerSource": 0
}
```

# Actor output Schema

## `jobs` (type: `string`):

All scraped job postings as dataset items.

# 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 = {
    "sources": [
        {
            "platform": "greenhouse",
            "company": "airbnb"
        },
        {
            "platform": "lever",
            "company": "spotify"
        },
        {
            "platform": "ashby",
            "company": "Ashby"
        },
        {
            "platform": "smartrecruiters",
            "company": "Equus"
        },
        {
            "platform": "recruitee",
            "company": "channable"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("eins332570/ats-job-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 = { "sources": [
        {
            "platform": "greenhouse",
            "company": "airbnb",
        },
        {
            "platform": "lever",
            "company": "spotify",
        },
        {
            "platform": "ashby",
            "company": "Ashby",
        },
        {
            "platform": "smartrecruiters",
            "company": "Equus",
        },
        {
            "platform": "recruitee",
            "company": "channable",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("eins332570/ats-job-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 '{
  "sources": [
    {
      "platform": "greenhouse",
      "company": "airbnb"
    },
    {
      "platform": "lever",
      "company": "spotify"
    },
    {
      "platform": "ashby",
      "company": "Ashby"
    },
    {
      "platform": "smartrecruiters",
      "company": "Equus"
    },
    {
      "platform": "recruitee",
      "company": "channable"
    }
  ]
}' |
apify call eins332570/ats-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eins332570/ats-job-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/kHlDJVf4qRB6Uaw32/builds/ewD3DZtpYaysJpIUK/openapi.json