# Greenhouse Jobs Scraper: Lever & Ashby Jobs (`davidbenittah/greenhouse-lever-ashby-job-scraper`) Actor

Scrape complete public Greenhouse, Lever, and Ashby job feeds into one clean dataset.

- **URL**: https://apify.com/davidbenittah/greenhouse-lever-ashby-job-scraper.md
- **Developed by:** [David](https://apify.com/davidbenittah) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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

## Greenhouse Jobs Scraper: Lever & Ashby Jobs

Export every open role from public **Greenhouse, Lever, and Ashby job boards** into one clean Apify dataset. Give the Actor company board tokens and it returns hundreds of current jobs in one run, ready for CSV, Excel, JSON, Make, Zapier, an Apify schedule, or your own data pipeline.

This is a feed, not a change alert. It removes the repetitive work of opening company career pages, paging through roles, copying fields, and normalizing three different ATS formats.

### What it is for

- **Recruiting research:** export the full hiring footprint of target employers.
- **Job-search feeds:** combine current openings from several companies in one dataset.
- **Market intelligence:** compare departments, locations, remote policies, and hiring volume.
- **Sales signals:** find companies hiring into teams that may need your product.
- **Scheduled data pipelines:** rerun the same input daily and use `stableId` to deduplicate rows.

### Input

Add up to 20 public ATS boards. Each item needs two values:

- `provider`: `greenhouse`, `lever`, or `ashby`.
- `company`: the public board token visible in the job-board URL.

`maxJobsPerBoard` controls the maximum number of rows exported per company, from 1 to 2,000. Its default is 1,000, so large company feeds work without extra configuration.

Ready-to-run example:

```json
{
  "boards": [
    { "provider": "greenhouse", "company": "stripe" },
    { "provider": "lever", "company": "spotify" },
    { "provider": "ashby", "company": "linear" }
  ],
  "maxJobsPerBoard": 1000
}
```

### Output

One dataset row equals one open job:

```json
{
  "provider": "greenhouse",
  "company": "stripe",
  "title": "Software Engineer",
  "location": "Remote",
  "department": "Engineering",
  "employmentType": "",
  "workplaceType": "",
  "jobUrl": "https://...",
  "publishedAt": "2026-08-01T12:00:00.000Z",
  "stableId": "greenhouse:123456",
  "fetchedAt": "2026-08-06T08:00:00.000Z"
}
```

The Actor also writes a summary with the number of jobs exported per board and any board-level error. One invalid company token does not throw away successful results from the other boards.

### How to find the company token

- Greenhouse URLs usually contain `boards.greenhouse.io/<company>` or `job-boards.greenhouse.io/<company>`.
- Lever URLs use `jobs.lever.co/<company>`.
- Ashby URLs use `jobs.ashbyhq.com/<company>`.

Copy only the `<company>` segment into the input. No login, browser cookies, proxy, or API key is required.

### Limits and responsible use

The Actor reads official public job-feed endpoints only. It does not access candidate profiles, emails, phone numbers, authenticated systems, or private hiring data. Results reflect what each employer currently publishes and may omit fields that the employer leaves blank. Keep run frequency reasonable and follow the terms applicable to your use case.

This Actor is unofficial and is not affiliated with Greenhouse, Lever, Ashby, or the companies whose public job feeds you choose to export.

# Actor input Schema

## `boards` (type: `array`):

Boards to export. Choose the ATS provider and enter the company token from its public job-board URL. Maximum 20 boards per run.

## `maxJobsPerBoard` (type: `integer`):

Maximum rows returned from each company board. Raise this for large employers; hard limit 2,000.

## Actor input object example

```json
{
  "boards": [
    {
      "provider": "greenhouse",
      "company": "stripe"
    },
    {
      "provider": "lever",
      "company": "spotify"
    },
    {
      "provider": "ashby",
      "company": "linear"
    }
  ],
  "maxJobsPerBoard": 1000
}
```

# Actor output Schema

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

Clean job rows in the default dataset.

## `summary` (type: `string`):

Counts by board and any board-level errors.

# 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 = {
    "boards": [
        {
            "provider": "greenhouse",
            "company": "stripe"
        },
        {
            "provider": "lever",
            "company": "spotify"
        },
        {
            "provider": "ashby",
            "company": "linear"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("davidbenittah/greenhouse-lever-ashby-job-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 = { "boards": [
        {
            "provider": "greenhouse",
            "company": "stripe",
        },
        {
            "provider": "lever",
            "company": "spotify",
        },
        {
            "provider": "ashby",
            "company": "linear",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("davidbenittah/greenhouse-lever-ashby-job-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 '{
  "boards": [
    {
      "provider": "greenhouse",
      "company": "stripe"
    },
    {
      "provider": "lever",
      "company": "spotify"
    },
    {
      "provider": "ashby",
      "company": "linear"
    }
  ]
}' |
apify call davidbenittah/greenhouse-lever-ashby-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=davidbenittah/greenhouse-lever-ashby-job-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZzplVKG2w4DneRdVx/builds/VM6GGjIvfWsR7lS1k/openapi.json