# ATS Job Scraper — Greenhouse, Lever, Workday & more (`amanatools/ats-jobs-extractor`) Actor

Pull open job listings straight from company career sites on Greenhouse, Lever, Workday, SmartRecruiters, Recruitee and Workable. Clean JSON, no personal data, no proxies needed. Pay per job returned.

- **URL**: https://apify.com/amanatools/ats-jobs-extractor.md
- **Developed by:** [Dos](https://apify.com/amanatools) (community)
- **Categories:** Jobs, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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, Workday & more

Pull open job listings **straight from company career sites** — no LinkedIn, no Indeed, no proxies, no risk. This actor reads the same public, unauthenticated APIs that power the career pages companies embed on their own websites, across six applicant-tracking systems:

| ATS | Token format | Example |
|---|---|---|
| Greenhouse | `greenhouse:<board>` | `greenhouse:stripe` |
| Lever | `lever:<site>` | `lever:palantir` |
| Workday | `workday:<host>/<site>` | `workday:nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite` |
| SmartRecruiters | `smartrecruiters:<company>` | `smartrecruiters:visa` |
| Recruitee | `recruitee:<subdomain>` | `recruitee:gorgias` |
| Workable | `workable:<account>` | `workable:turnitin` |

### What you get

One dataset item per job: `company, ats, title, location, remote, employment_type, department, salary, posted_at, apply_url, description_text`. Salary appears where the company publishes it (Lever ranges, and increasingly others under pay-transparency laws).

**No personal data, by design.** The schema has no recruiter names, no emails, no phone numbers — and description text is scrubbed of both before it reaches the dataset. Use it for job-market analytics, hiring-signal tracking, competitor watching, or feeding an agent, without inheriting a compliance problem.

### Where do I find a company's token?

Open the company's careers page and look at the URL of a job listing:

- `boards.greenhouse.io/stripe/...` → `greenhouse:stripe`
- `jobs.lever.co/palantir/...` → `lever:palantir`
- `nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/...` → `workday:nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite`
- `jobs.smartrecruiters.com/Visa/...` → `smartrecruiters:visa`
- `<name>.recruitee.com/o/...` → `recruitee:<name>`
- `apply.workable.com/<name>/...` → `workable:<name>`

### Input example

```
{
    "companies": ["greenhouse:stripe", "lever:palantir"],
    "max_jobs_per_company": 500,
    "include_description": true
}
```

Up to 100 companies per run. Failed companies (moved ATS, typo, empty board) come back as `type: "company-error"` items so your pipeline can branch — the run never dies because one token is stale.

### Pricing

Pay-per-event: a small start fee, a micro-fee per company processed, and a per-job fee. No subscription, no minimum. A 500-job run costs well under a dollar.

### Notes & limits

- **Tokens go stale.** Companies switch ATS vendors; a token that worked last month can 404. That is what the `company-error` items are for — prune and replace.
- **Workday** listing data is thinner than the others (no posted date in the listing API, location as display text). Detail-page fetching is not included in v0.1.
- **Only these six ATSes.** No LinkedIn, no Indeed, no Glassdoor — deliberately: those require scraping platforms that prohibit it. This actor only touches endpoints companies expose publicly on purpose. Ashby is excluded because its robots.txt disallows its API.
- Descriptions are plain text (HTML stripped). If you need the original HTML formatting, tell us and it becomes v0.2.

### Other actors by amanatools

- [PDF Text Extractor](https://apify.com/amanatools/pdf-table-extractor) — tables and text from PDF files into clean JSON rows
- [PDF OCR Extractor](https://apify.com/amanatools/pdf-ocr-extractor) — scanned and image-only PDFs into searchable text
- [Data Cleaner](https://apify.com/amanatools/data-cleaner) — messy CSV, Excel and JSON into clean, typed data
- [Doc to Markdown](https://apify.com/amanatools/doc-to-markdown) — DOCX, PDF and web pages into clean markdown

# Actor input Schema

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

One entry per company as `<ats>:<token>`. Supported: `greenhouse:<board>` (boards-api token), `lever:<site>`, `workday:<host>/<site>` (e.g. nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite), `smartrecruiters:<company>`, `recruitee:<subdomain>`, `workable:<account>`. Up to 100 per run.

## `max_jobs_per_company` (type: `integer`):

Stop after this many jobs from one company.

## `include_description` (type: `boolean`):

Include the (PII-scrubbed) description text where the ATS returns it in the listing call. Turn off for a lighter dataset.

## `include_company_errors` (type: `boolean`):

If a company token fails (moved ATS, typo, empty board), push one item with type='company-error' so your pipeline can branch.

## Actor input object example

```json
{
  "companies": [
    "greenhouse:stripe",
    "lever:palantir"
  ],
  "max_jobs_per_company": 500,
  "include_description": true,
  "include_company_errors": true
}
```

# Actor output Schema

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

Default dataset: one item per open job across all requested companies.

# 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": [
        "greenhouse:stripe",
        "lever:palantir"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("amanatools/ats-jobs-extractor").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": [
        "greenhouse:stripe",
        "lever:palantir",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("amanatools/ats-jobs-extractor").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 '{
  "companies": [
    "greenhouse:stripe",
    "lever:palantir"
  ]
}' |
apify call amanatools/ats-jobs-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/QcXpa7LKZXKWIiZ0B/builds/CHp66SLEqBiwWI5RD/openapi.json