# All Jobs Scraper - 10 ATS Job Boards in One Actor (`enezli/all-ats-jobs-scraper`) Actor

Scrape jobs from Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters, Personio, Pinpoint, Rippling and Breezy HR in one run. Paste a company code or a job board URL - the Actor detects the ATS for you and returns clean, de-duplicated job JSON. No API key, no LLM.

- **URL**: https://apify.com/enezli/all-ats-jobs-scraper.md
- **Developed by:** [Turgay NANTA](https://apify.com/enezli) (community)
- **Categories:** Jobs, Agents, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% 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/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

## All Jobs Scraper — 10 ATS job boards, one Actor

Scrape open jobs from **Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters, Personio, Pinpoint, Rippling and Breezy HR** in a single run.

Paste a company code or a job board URL. The Actor works out which ATS the company uses, pulls the open roles and returns clean, de-duplicated JSON. No API key, no proxy, no LLM.

### What you get

| Field | What it is |
| --- | --- |
| `title` | Job title |
| `company` | Company name (or the board code it was found under) |
| `location` | Location as published by the board |
| `url` | Canonical apply URL, tracking parameters stripped |
| `source_platform` | Which ATS the record came from |
| `updated_at` | Last update timestamp, when the board publishes one |
| `description` | Job description, when the board returns it |

Records are de-duplicated across boards, empty fields are dropped instead of being filled with placeholders, and every run ends with a `_summary` record telling you how many jobs were returned and which boards answered.

### Input

Three accepted forms, mixed freely in one comma-separated field:

```
stripe                              # plain code: tried on every selected board
https://jobs.lever.co/palantir      # board URL: platform detected from the address
ashby:linear                        # explicit platform
```

Options: limit the run to specific boards, cap the number of results, turn on deterministic enrichment (emails, canonical domain, completeness score) or monitor mode (only jobs that are new since the previous run).

### Typical uses

- Build a jobs dataset across many companies without writing a scraper per ATS.
- Track hiring at a list of target accounts and get alerted when a new role appears.
- Feed an AI agent a single tool instead of eleven.

### Pricing

Pay per event: starting a run is free, you pay for the results you actually receive. Enrichment and change alerts are charged only when they actually produce something.

### Notes

- Only public job board endpoints are used — the same data a visitor sees on the company's careers page.
- If a company code is wrong or a board is empty, that board is skipped and the run still returns what the other boards found.
- Every board listed above was verified with a live run before publishing: Greenhouse (stripe), Lever (palantir), Ashby (linear), Workable (toloka-ai), Recruitee (thirdway), SmartRecruiters (BoschGroup), Personio (personio), Pinpoint (workwithus), Rippling (rippling) and Breezy HR (breezy).
- This Actor is not affiliated with, endorsed by, or connected to Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters, Personio, Pinpoint, Rippling or Breezy HR. All product names are trademarks of their respective owners.

# Actor input Schema

## `query` (type: `string`):

What to scrape, comma-separated. Three accepted forms: a plain company code ('stripe' - tried on every selected ATS), a board URL ('https://jobs.lever.co/palantir'), or 'platform:code' ('ashby:linear'). Leave empty to run the default example - no required fields.

## `platforms` (type: `array`):

Leave empty to auto-detect: a plain company code is tried on all 10 boards and whatever answers is returned. Pick specific boards to make runs faster and cheaper.

## `maxResults` (type: `integer`):

Maximum number of clean job records to return (capped at 500). The budget is shared across the boards you scrape.

## `enrich` (type: `boolean`):

Adds deterministic enrichment per record: extracted emails, canonical domain and a completeness score. Charged per enriched record (see Pricing).

## `monitor` (type: `boolean`):

Compares this run with the previous one and flags NEW jobs only. Ideal for scheduled runs - get alerted when a company posts something new. Charged per change.

## Actor input object example

```json
{
  "query": "stripe, https://jobs.lever.co/palantir",
  "platforms": [],
  "maxResults": 20,
  "enrich": false,
  "monitor": false
}
```

# Actor output Schema

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

Clean, normalized and de-duplicated job records collected from the selected ATS job boards, as JSON. Each record carries the board it came from in source\_platform (see storages.dataset.fields in actor.json).

# 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 = {
    "query": "stripe, https://jobs.lever.co/palantir"
};

// Run the Actor and wait for it to finish
const run = await client.actor("enezli/all-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 = { "query": "stripe, https://jobs.lever.co/palantir" }

# Run the Actor and wait for it to finish
run = client.actor("enezli/all-ats-jobs-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 '{
  "query": "stripe, https://jobs.lever.co/palantir"
}' |
apify call enezli/all-ats-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,enezli/all-ats-jobs-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/90W1bfqpKvhMmpM1o/builds/U1859T1HrWNVAi6gi/openapi.json