# ATS Jobs Scraper — Greenhouse, Lever, Ashby, Workable + more (`jgdata/ats-jobs-scraper`) Actor

Scrape live job postings from 5 ATS platforms in one run — Greenhouse, Lever, Ashby, Workable, SmartRecruiters. Normalized schema: title, location, department, remote, salary, apply URL. Official public APIs: no proxies, no breakage. For B2B lead gen, recruiting, and job boards.

- **URL**: https://apify.com/jgdata/ats-jobs-scraper.md
- **Developed by:** [Jack Gendron](https://apify.com/jgdata) (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 $1.00 / 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 Jobs Scraper — Greenhouse, Lever, Ashby, Workable & SmartRecruiters

Scrape **live job postings from 5 applicant tracking systems** in one run, normalized to a single clean schema. Point it at any company's job board using a simple `platform:slug` shorthand or just paste the careers-page URL — the platform is auto-detected.

Built on official public job-board APIs: **HTTP-only, no headless browsers, no proxies, no anti-bot breakage.** Runs are fast, cheap, and reliable.

### What you get

One row per job posting:

| Field | Example |
|---|---|
| `company` | `stripe` |
| `platform` | `greenhouse` |
| `title` | `AI Engineer` |
| `department` | `Solutions Architecture` |
| `location` | `Chicago` |
| `remote` | `false` |
| `employmentType` | `Full-time` |
| `salaryMin` / `salaryMax` / `salaryCurrency` | `140000` / `180000` / `USD` |
| `publishedAt` / `updatedAt` | ISO dates |
| `applyUrl` | direct apply link |
| `description` | full text (optional toggle) |

Salary is taken from structured ATS fields when available (Lever, Ashby) and extracted from the job description as a fallback.

### Supported platforms

- **Greenhouse** — `greenhouse:stripe` or `https://boards.greenhouse.io/stripe`
- **Lever** — `lever:palantir` or `https://jobs.lever.co/palantir`
- **Ashby** — `ashby:ramp` or `https://jobs.ashbyhq.com/ramp`
- **Workable** — `workable:blueground` or `https://apply.workable.com/blueground`
- **SmartRecruiters** — `smartrecruiters:servicenow` or `https://careers.smartrecruiters.com/...`

### Use cases

- **B2B lead generation** — companies actively hiring are companies with budget. Monitor hiring signals across your prospect list.
- **Recruiting & sourcing** — track openings across hundreds of target companies without visiting each board.
- **Job boards & aggregators** — feed fresh, structured postings into your product.
- **Market & salary research** — collect salary ranges and hiring trends by department, location, or remote policy.
- **Job seekers** — one filtered feed ("remote", "engineer", "New York") across every company you care about.

### Filters

- `titleKeyword` — e.g. `engineer`
- `locationKeyword` — e.g. `Remote`, `London`
- `departmentKeyword` — e.g. `Sales`
- `remoteOnly` — true/false
- `maxItemsPerCompany` / `maxItems` — cost control caps

### Example input

```json
{
  "sources": ["greenhouse:stripe", "lever:palantir", "ashby:ramp"],
  "titleKeyword": "engineer",
  "remoteOnly": true
}
```

### Scheduling & integrations

Run it on a schedule (e.g. daily) and pipe new postings to Slack, email, Google Sheets, or a webhook using Apify integrations. Combine with the run summary (`RUN_SUMMARY` in the key-value store) to monitor which boards returned data.

### Why this Actor

- **5 ATS platforms in one** — most alternatives cover 3 or fewer.
- **Official public APIs only** — no scraping fragile HTML, so it doesn't break when sites redesign.
- **Normalized schema** — identical fields across platforms; no per-platform parsing on your side.
- **Pay per result** — you're only charged for job records actually delivered.

# Actor input Schema

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

One entry per company. Accepts either `platform:slug` (e.g. `greenhouse:stripe`, `lever:plaid`, `ashby:ramp`, `workable:blueground`, `smartrecruiters:bosch`) or a careers-board URL (e.g. `https://boards.greenhouse.io/stripe`, `https://jobs.lever.co/plaid`) — the platform is auto-detected from the URL.

## `titleKeyword` (type: `string`):

Only return jobs whose title contains this text (case-insensitive). Leave empty for all jobs.

## `locationKeyword` (type: `string`):

Only return jobs whose location contains this text (case-insensitive), e.g. `Remote`, `New York`, `Germany`.

## `departmentKeyword` (type: `string`):

Only return jobs whose department/team contains this text (case-insensitive), e.g. `Engineering`.

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

Only return jobs flagged or labeled as remote.

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

Include the full job description text in each record. Turn off for a lighter dataset.

## `maxItemsPerCompany` (type: `integer`):

Cap on the number of jobs returned per company (after filtering). 0 = unlimited.

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

Overall cap on jobs returned across all companies. 0 = unlimited.

## Actor input object example

```json
{
  "sources": [
    "greenhouse:stripe",
    "lever:plaid",
    "ashby:ramp"
  ],
  "remoteOnly": false,
  "includeDescription": false,
  "maxItemsPerCompany": 0,
  "maxItems": 0
}
```

# 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": [
        "greenhouse:stripe",
        "lever:plaid",
        "ashby:ramp"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jgdata/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 = { "sources": [
        "greenhouse:stripe",
        "lever:plaid",
        "ashby:ramp",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("jgdata/ats-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    "greenhouse:stripe",
    "lever:plaid",
    "ashby:ramp"
  ]
}' |
apify call jgdata/ats-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jgdata/ats-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/0BsMrc44KQtXeDC2Y/builds/fORJdtuUv64fyQYTa/openapi.json
