# Unified ATS Job Scraper (Greenhouse, Lever, Ashby) (`mmduong/unified-ats-job-scraper`) Actor

- **URL**: https://apify.com/mmduong/unified-ats-job-scraper.md
- **Developed by:** [MMD Labs](https://apify.com/mmduong) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/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

## Unified ATS Job & Hiring Signal Scraper (Greenhouse, Lever, Ashby)

> Scrape live job postings, department structures, remote positions, and salary compensation from **Greenhouse**, **Lever**, and **Ashby** without proxies, browser overhead, or API keys.

***

### ⚡ Key Highlights

- **3 Major ATS Platforms in One**: Accepts any mix of company slugs or career URLs and auto-detects whether the organization is hosted on Greenhouse (`boards-api.greenhouse.io`), Lever (`api.lever.co`), or Ashby (`api.ashbyhq.com`).
- **100% Reliable & Keyless**: Interacts directly with official public candidate endpoints. Zero rate limits, zero IP blocks, and **no expensive residential proxies required** (runs on $0 Apify free tier compute).
- **Normalized Schema**: Outputs consistent fields (`company`, `ats`, `jobId`, `title`, `department`, `location`, `isRemote`, `salary`, `url`, `publishedAt`).
- **Model Context Protocol (MCP) Compatible**: Ready for direct querying by AI agents via the [Apify MCP Server](https://mcp.apify.com/) in Claude Desktop, Cursor, and custom agent loops.
- **Precision Filtering**: Filter by role keywords (e.g. `AI`, `Engineer`, `Founding`, `Sales`), remote-only tags, and per-company limits.

***

### 💼 High-Value Use Cases

1. **Recruitment & Executive Search Agencies**: Track real-time headcount expansions and hiring surges across target competitor lists.
2. **B2B Sales & GTM Prospecting**: Identify companies actively hiring for specific tech stacks (e.g. Snowflake, Salesforce, Kubernetes) as high-intent buying signals.
3. **Niche Job Aggregators & Newsletters**: Power automated programmatic job boards and weekly curated alert newsletters.
4. **Autonomous AI Agents**: Connect via Model Context Protocol (MCP) to let your LLM agent check live salaries and openings on demand.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `companies` | Array (string) | `["automattic", "lever", "linear"]` | List of company slugs or full career URLs (e.g. `https://boards.greenhouse.io/gitlab`). |
| `atsPlatform` | String (select) | `"auto"` | `"auto"` (auto-detect), or force `"greenhouse"`, `"lever"`, `"ashby"`. |
| `keywordFilter`| String | `""` | Filter matching jobs by title, department, or description (e.g. `"AI"`). |
| `remoteOnly` | Boolean | `false` | When true, only exports verified remote listings. |
| `maxJobsPerCompany` | Number | `100` | Max postings per company (0 for unlimited). |

***

### 📤 Output Data Format

```json
{
  "company": "linear",
  "ats": "ashby",
  "jobId": "b1b72e90-d4cf-4b6e-b352-87a3297a7836",
  "title": "Software Engineer - AI & Foundations",
  "department": "Engineering",
  "location": "San Francisco, CA or Remote",
  "isRemote": true,
  "salary": "$180,000 - $240,000 USD",
  "url": "https://jobs.ashbyhq.com/linear/b1b72e90-d4cf-4b6e-b352-87a3297a7836",
  "publishedAt": "2026-10-20T14:22:10.000Z",
  "descriptionSnippet": "Linear is looking for exceptional engineers to build the next generation of product software...",
  "scrapedAt": "2026-10-22T15:35:00.000Z"
}
```

***

### 🤖 MCP Integration (Claude / Cursor / LangChain)

This Actor connects directly to the [Apify MCP Server](https://mcp.apify.com/):

```json
{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/mcp-server"],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

***

### 🏷️ Recommended Store Pricing

- **Pay-Per-Event (PPE)**: $0.50 per 1,000 scraped jobs (with a $1.00 minimum run charge).
- **Monthly Subscription**: $19 / month for unlimited runs.
- **Profit Margin**: ~95%+ net margin since zero proxies are needed and compute runtime is sub-second per company.

# Actor input Schema

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

List of company slugs (e.g., 'automattic', 'lever', 'linear') or full career URLs (e.g., 'https://boards.greenhouse.io/gitlab', 'https://jobs.lever.co/netflix', 'https://jobs.ashbyhq.com/retool').

## `atsPlatform` (type: `string`):

Select 'auto' to automatically detect the platform or force a specific ATS.

## `keywordFilter` (type: `string`):

Optional search filter (e.g. 'Engineer', 'AI', 'Sales', 'Remote'). Only matching job titles and descriptions will be saved.

## `remoteOnly` (type: `boolean`):

Filter for remote positions only.

## `maxJobsPerCompany` (type: `integer`):

Maximum number of jobs to scrape per company. Set to 0 for unlimited.

## Actor input object example

```json
{
  "companies": [
    "automattic",
    "lever",
    "linear"
  ],
  "atsPlatform": "auto",
  "remoteOnly": false,
  "maxJobsPerCompany": 100
}
```

# 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 = {
    "companies": [
        "automattic",
        "lever",
        "linear"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mmduong/unified-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 = { "companies": [
        "automattic",
        "lever",
        "linear",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("mmduong/unified-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 '{
  "companies": [
    "automattic",
    "lever",
    "linear"
  ]
}' |
apify call mmduong/unified-ats-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mmduong/unified-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/Neke7L879O2RwheO9/builds/3C4C251oi61grlAVn/openapi.json