# Jobs Scraper - Greenhouse, Lever, Ashby & SmartRecruiters (`gettingtechnicl/ats-jobs-scraper`) Actor

Search live job postings across Greenhouse, Lever, Ashby, and SmartRecruiters in one multi-ATS actor — built for sales lead-gen, recruiting pipeline research, and hiring-trend analysis, without running four separate scrapers for the same signal.

- **URL**: https://apify.com/gettingtechnicl/ats-jobs-scraper.md
- **Developed by:** [Terry Gluff](https://apify.com/gettingtechnicl) (community)
- **Categories:** Jobs, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 verified record extracteds

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

## Jobs Scraper - Greenhouse, Lever, Ashby & SmartRecruiters

**Scrape live job postings from Greenhouse, Lever, Ashby and SmartRecruiters - in a single run.** Most scrapers cover ONE applicant-tracking system; this one unions them, so you get every company's openings whichever ATS they use, in one clean, source-tagged dataset. No login, no API key, no fragile HTML scraping: it reads each platform's public job feed.

*Also known as: jobs scraper, ATS scraper, who is hiring scraper, multi-company jobs API, greenhouse lever ashby scraper, job listings API, hiring data, recruiting data.*

### Platforms covered

- **Greenhouse**
- **Lever**
- **Ashby**
- **SmartRecruiters**

### What you get

One row per job posting, each tagged with its `_source_platform` and `_source`, ready to export as JSON, CSV or Excel:

`title`, `company`, `location`, `url`, `posted_at`, `platform`, `description_text`, `department`, `employment_type`, `remote`, `absolute_url`, `education`, `internal_job_id`, `id`

### Example input

```json
{
  "greenhouse_boards": [
    "stripe",
    "airbnb",
    "gitlab"
  ],
  "lever_companies": [
    "spotify",
    "netflix",
    "kickstarter"
  ],
  "ashby_organizations": [
    "ramp",
    "notion",
    "openai"
  ],
  "smartrecruiters_companies": [
    "BoschGroup",
    "Experian",
    "Aramark"
  ],
  "include_full_description": true,
  "max_items": 500
}
```

### What you can do with it

- **Recruiting and sourcing** - pull every open role across target companies on ANY major ATS into one sheet.
- **Talent-market and salary research** - track who is hiring, for what, and where, across platforms over time.
- **Lead generation** - find companies actively hiring for roles your product or service supports.
- **Competitive hiring intelligence** - monitor competitor openings, teams and locations, whichever ATS they use.
- **Build a niche job board** - power a curated, always-fresh, multi-source listings feed.

### Input options

- **greenhouse_boards** - Greenhouse board tokens (company slugs), e.g. stripe, airbnb, gitlab (default: stripe, airbnb, gitlab, coinbase)
- **lever_companies** - Lever company slugs, e.g. spotify, netflix (default: spotify, netflix, kickstarter, plaid)
- **ashby_organizations** - Ashby org slugs, e.g. ramp, notion, openai (default: ramp, notion, openai, linear)
- **smartrecruiters_companies** - SmartRecruiters company identifiers, e.g. BoschGroup, Experian (default: BoschGroup, Experian, Aramark, Alorica)
- **platforms** - optional: limit the run to a subset (e.g. `["greenhouse","lever"]`); blank = all
- **include_full_description** - include the full description text (default: true)
- **max_items** - cap on total combined results
- **search** - keyword filter on title / role / department
- **location_contains** - filter by location text

### How to find each company token

- **Greenhouse**: the slug in a company's careers URL job-boards.greenhouse.io/<token>
- **Lever**: the slug in jobs.lever.co/<token>
- **Ashby**: the slug in jobs.ashbyhq.com/<token>
- **SmartRecruiters**: the company identifier in careers.smartrecruiters.com/<id>

### Pricing

Pay per result - charged only for records actually returned. No monthly fee, no charge for empty runs.

### FAQ

**Do I need an API key or login?** No - it reads each platform's public job feed.

**How is this different from the single-platform scrapers?** It covers every major ATS at once and tags each row with its source, so one run gives you the whole market.

**What export formats are supported?** JSON, CSV, Excel, or the Apify API and webhooks.

# Actor input Schema

## `greenhouse_boards` (type: `array`):

Greenhouse board tokens (company slugs), e.g. stripe, airbnb, gitlab

## `lever_companies` (type: `array`):

Lever company slugs, e.g. spotify, netflix

## `ashby_organizations` (type: `array`):

Ashby org slugs, e.g. ramp, notion, openai

## `smartrecruiters_companies` (type: `array`):

SmartRecruiters company identifiers, e.g. BoschGroup, Experian

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

Optional: limit to a subset of platforms (greenhouse, lever, ashby, smartrecruiters). Blank = all.

## `include_full_description` (type: `boolean`):

Include the full description text per record

## `max_items` (type: `integer`):

Maximum total combined records to return

## `search` (type: `string`):

Only include records whose title/role/department contains this text

## `location_contains` (type: `string`):

Only include records whose location contains this text

## Actor input object example

```json
{
  "greenhouse_boards": [
    "stripe",
    "airbnb",
    "gitlab",
    "coinbase",
    "figma"
  ],
  "lever_companies": [
    "spotify",
    "netflix",
    "kickstarter",
    "plaid",
    "nerdwallet"
  ],
  "ashby_organizations": [
    "ramp",
    "notion",
    "openai",
    "linear",
    "vanta"
  ],
  "smartrecruiters_companies": [
    "BoschGroup",
    "Experian",
    "Aramark",
    "Alorica"
  ],
  "platforms": [],
  "include_full_description": true,
  "max_items": 1000,
  "search": "",
  "location_contains": ""
}
```

# 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 = {
    "greenhouse_boards": [
        "stripe",
        "airbnb",
        "gitlab",
        "coinbase",
        "figma"
    ],
    "lever_companies": [
        "spotify",
        "netflix",
        "kickstarter",
        "plaid",
        "nerdwallet"
    ],
    "ashby_organizations": [
        "ramp",
        "notion",
        "openai",
        "linear",
        "vanta"
    ],
    "smartrecruiters_companies": [
        "BoschGroup",
        "Experian",
        "Aramark",
        "Alorica"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("gettingtechnicl/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 = {
    "greenhouse_boards": [
        "stripe",
        "airbnb",
        "gitlab",
        "coinbase",
        "figma",
    ],
    "lever_companies": [
        "spotify",
        "netflix",
        "kickstarter",
        "plaid",
        "nerdwallet",
    ],
    "ashby_organizations": [
        "ramp",
        "notion",
        "openai",
        "linear",
        "vanta",
    ],
    "smartrecruiters_companies": [
        "BoschGroup",
        "Experian",
        "Aramark",
        "Alorica",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("gettingtechnicl/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 '{
  "greenhouse_boards": [
    "stripe",
    "airbnb",
    "gitlab",
    "coinbase",
    "figma"
  ],
  "lever_companies": [
    "spotify",
    "netflix",
    "kickstarter",
    "plaid",
    "nerdwallet"
  ],
  "ashby_organizations": [
    "ramp",
    "notion",
    "openai",
    "linear",
    "vanta"
  ],
  "smartrecruiters_companies": [
    "BoschGroup",
    "Experian",
    "Aramark",
    "Alorica"
  ]
}' |
apify call gettingtechnicl/ats-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gettingtechnicl/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/UlivDdMJ65v39Ql7J/builds/cmVNhMnS52ns0aW7g/openapi.json