# ATS Job Board Scraper: Greenhouse, Lever, Ashby & Workable (`informed_almandine_vzb/unified-ats-jobs`) Actor

Scrape open jobs from Greenhouse, Lever, Ashby, Workable, and SmartRecruiters in one normalized JSON/CSV schema. Filter by role, location, or only-new.

- **URL**: https://apify.com/informed_almandine_vzb/unified-ats-jobs.md
- **Developed by:** [Almandine Data](https://apify.com/informed_almandine_vzb) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 7.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 job scrapeds

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 Scraper: Greenhouse, Lever, Ashby, Workable & SmartRecruiters

Scrape open job postings from **5 major Applicant Tracking Systems (Greenhouse, Lever, Ashby, Workable, and SmartRecruiters)** into **one normalized JSON/CSV schema** in a single run. Built for recruiting agencies, job boards, B2B sales signals, and AI agents — with **no login, cookies, or browser overhead**.

### What it does

Pass company board URLs, `ats:slug` pairs (e.g. `greenhouse:airbnb`, `lever:spotify`, `ashby:ramp`), or bare company slugs (auto-detected across all 5 ATS platforms). Filter by title/department/location regex and enable `onlyNew: true` on a schedule so you only receive and pay for newly posted jobs.

### Use cases

- **Niche Job Boards & Aggregators:** Ingest jobs from hundreds of companies across Greenhouse, Lever, Ashby, Workable, and SmartRecruiters without maintaining 5 separate scrapers or schemas.
- **B2B Buying-Intent & Hiring Signals:** Detect when target accounts open key roles (e.g. `Security Engineer`, `RevOps`, `Data Platform`, `VP Sales`) to trigger timely outbound sequences.
- **Recruiting & Headhunting Automation:** Run hourly or daily with `onlyNew: true` to spot newly opened requisitions before competing agencies.
- **Compensation & Remote Work Analytics:** Analyze structured `compensation` ranges (Ashby/Lever) and `workplaceType` (`remote`, `hybrid`, `onsite`) across tech companies.

### Why use this scraper?

| Feature | This Actor | Single-ATS / HTML Job Scrapers |
|---|---|---|
| **ATS coverage** | **5 ATS platforms in 1 Actor** (Greenhouse, Lever, Ashby, Workable, SmartRecruiters) | Requires 5 separate actors with incompatible schemas |
| **Architecture** | Official public JSON board APIs (`curl_cffi`, 200 jobs in ~3 seconds) | Fragile browser scraping that breaks on career page redesigns |
| **Incremental state** | Built-in `onlyNew` state store skips previously seen jobs at `$0.00` | Re-bills the entire job board on every run |
| **Pricing model** | **Pay-per-result (`$1.50 / 1,000 jobs`, `$0.00` start fee)** | $20–$49/month per ATS |

### Input parameters

- **Companies** (`companies`, `array`): Board URLs (`https://boards.greenhouse.io/stripe`), `ats:slug` (`ashby:linear`), or bare slugs (`figma`).
- **Title filter (regex)** (`titleFilter`, `string`): Case-insensitive regex matched against job title (e.g. `(senior|staff).*engineer`).
- **Location filter (regex)** (`locationFilter`, `string`): Case-insensitive regex matched against location or workplace type (e.g. `remote|new york`).
- **Department filter (regex)** (`departmentFilter`, `string`): Case-insensitive regex matched against department/team.
- **Posted within (days)** (`postedWithinDays`, `integer`): Keep only jobs published/updated within the last N days.
- **Include full job description** (`includeDescription`, `boolean`): Attach `descriptionHtml` and `descriptionText` (default `true`).
- **Only new jobs** (`onlyNew`, `boolean`): Skip jobs already returned in earlier runs.
- **Max jobs** (`maxItems`, `integer`): Cap total emitted jobs across all companies (default `5000`).

#### Example input

```json
{
  "companies": ["greenhouse:airbnb", "lever:spotify", "ashby:ramp"],
  "includeDescription": false,
  "onlyNew": false,
  "maxItems": 200
}
```

### Output & example output

One dataset row per job posting. Default table view columns: `company`, `ats`, `title`, `department`, `location`, `workplaceType`, `employmentType`, `compensation`, `publishedAt`, `applyUrl`.

#### Example output item

```json
{
  "id": "78d8b7f3e688e1bd",
  "ats": "greenhouse",
  "company": "airbnb",
  "jobId": "7789554",
  "title": "Associate Legal Counsel, Japan",
  "url": "https://careers.airbnb.com/positions/7789554?gh_jid=7789554",
  "location": "Tokyo, Japan",
  "department": null,
  "team": null,
  "employmentType": null,
  "isRemote": false,
  "postedAt": "2026-04-13T04:49:05-04:00",
  "updatedAt": "2026-09-29T20:00:54-04:00",
  "descriptionText": null
}
```

### Pricing (Pay-Per-Result)

This Actor uses transparent **Pay-Per-Event** pricing with a **`$0.00` actor-start fee**:

| Event | What is charged | Price |
|---|---|---|
| `job-result` | One normalized job posting emitted | **$0.0015 / job** (**$1.50 / 1,000 results**) |
| `apify-actor-start` | Actor start fee | **$0.00** |

#### Concrete pricing math

- **`job-result`:** `1,000 results = $1.50` (`50 results = $0.075`, `200 results = $0.30`, `10,000 results = $15.00`). Apify's **$5.00/month Free Tier** covers up to **3,333 jobs/month** at **$0.00**.
- **Empty runs (`0` results), filtered-out jobs, & already-seen jobs (`onlyNew: true`):** **$0.00**.

### Data and compliance

Queries only official public job-board JSON endpoints exposed by Greenhouse, Lever, Ashby, Workable, and SmartRecruiters for candidate applications. No candidate PII or private recruiter data is accessed. Per-company errors are recorded in the run's `ERRORS` key-value record and are never charged.

### FAQ

**What if I don't know which ATS a company uses?**\
Pass the bare company slug (e.g. `"airbnb"` or `"ramp"`), and the Actor automatically probes Greenhouse, Ashby, Lever, Workable, and SmartRecruiters in parallel.

**What happens if I run the Actor with empty `{}` input via API or CLI?**\
Default companies (`["greenhouse:airbnb", "lever:spotify", "ashby:ramp"]`) are built into `.actor/input_schema.json` and the runner, so an empty `{}` run immediately returns **200+ live jobs**.

# Actor input Schema

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

Job-board slugs. Use 'ats:slug' (greenhouse:airbnb, lever:spotify, ashby:ramp, smartrecruiters:BoschGroup) or a bare slug to auto-detect Greenhouse/Lever/Ashby.

## `titleKeywords` (type: `array`):

Keep jobs whose title contains any of these (case-insensitive).

## `locationKeywords` (type: `array`):

Location keywords (any match)

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

Remote only

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

Include plain-text description

## `onlyNew` (type: `boolean`):

Keeps a seen-list between runs so scheduled runs return just new postings.

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

Stop after this many matching jobs (0 = unlimited). You are charged per job returned.

## Actor input object example

```json
{
  "companies": [
    "greenhouse:airbnb",
    "lever:spotify",
    "ashby:ramp"
  ],
  "remoteOnly": false,
  "includeDescription": false,
  "onlyNew": false,
  "maxItems": 500
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `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": [
        "greenhouse:airbnb",
        "lever:spotify",
        "ashby:ramp"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("informed_almandine_vzb/unified-ats-jobs").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:airbnb",
        "lever:spotify",
        "ashby:ramp",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("informed_almandine_vzb/unified-ats-jobs").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": [
    "greenhouse:airbnb",
    "lever:spotify",
    "ashby:ramp"
  ]
}' |
apify call informed_almandine_vzb/unified-ats-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,informed_almandine_vzb/unified-ats-jobs"
        }
    }
}
```

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/J5HpWZkB1K5zf0Uot/builds/p1gHQ75X1g1KYSKHI/openapi.json