# Job Board Scraper: Greenhouse, Lever, Ashby, Workable + more (`kestrelsystems/ats-job-board-scraper`) Actor

Extract every open job from a company's ATS job board. One actor covers Greenhouse, Lever, Ashby, Workable and SmartRecruiters, returning a single unified table.

- **URL**: https://apify.com/kestrelsystems/ats-job-board-scraper.md
- **Developed by:** [LAIKESI YI](https://apify.com/kestrelsystems) (community)
- **Categories:** Jobs, Open source
- **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

## Job Board Scraper: Greenhouse, Lever, Ashby, Workable + more

**Most job scrapers will tell you Toloka has 1,404 open roles. It has 293.**

Workable returns the same posting once for every location it accepts. Count the
rows and you are wrong by 4.8x. This actor reports both numbers on every run and
lets you merge them with one switch — because a number that looks right and is
wrong is worse than no number at all.

That is the whole design brief: **be correct in the places where being wrong is
invisible.**

### One actor, five ATS platforms

| Platform | Paste this | Verified |
|---|---|---|
| Greenhouse | `boards.greenhouse.io/<company>` | 548 jobs from Stripe in **0.35s** |
| Lever | `jobs.lever.co/<company>` | 302 from Palantir in **1.45s** |
| Ashby | `jobs.ashbyhq.com/<company>` | 126 from Ramp in **0.25s** |
| Workable | `apply.workable.com/<company>` | 1,404 rows / 293 jobs in **0.26s** |
| SmartRecruiters | `careers.smartrecruiters.com/<company>` | paginated, full account |

**2,380 rows across four boards in about 2.3 seconds.** Measured, not estimated.
You can also write `platform:slug` directly, e.g. `greenhouse:stripe`.

### No browser. No API key. No proxies.

These five vendors publish their job boards as public JSON. This actor reads
that JSON. It does not drive a headless browser, does not need residential
proxies, and does not break when a careers page gets redesigned — because it
never looked at the page in the first place.

That is also why it is cheap to run and why it does not silently rot.

### Field completeness, measured on 2,380 live rows

| Field | Filled |
|---|---|
| `title` · `url` · `location` · `posted_at` | **100%** |
| `department` | 77% |
| `employment_type` | 77% |
| `remote` | 68% |

Published as-is. The gaps are the vendors' — we do not invent values to make a
table look full.

### Output

One shape, regardless of which board it came from:

```json
{
  "board": "greenhouse",
  "company": "stripe",
  "job_id": "6203386",
  "title": "Backend Engineer, Payments",
  "location": "San Francisco",
  "department": "Engineering",
  "employment_type": "",
  "remote": "",
  "posted_at": "2026-07-28T10:12:03Z",
  "url": "https://boards.greenhouse.io/stripe/jobs/6203386",
  "source": "boards-api.greenhouse.io"
}
```

JSON, CSV, Excel, or straight into your pipeline.

### Three things it refuses to do

1. **It does not guess.** Hand it a URL that is not a recognised job board and
   it returns a clear error. It will never quietly return zero rows — because
   "no jobs" and "wrong URL" must never look the same.
2. **It does not hide failures.** A board that fails is reported separately from
   a board that is genuinely empty. Both appear in the log; neither disappears.
3. **It does not touch personal data.** Job postings only. No candidates, no
   applicants, no contact scraping. Every endpoint it reads is published
   publicly by the ATS vendor, and it never logs in or bypasses authentication.

### Typical uses

- greenhouse job board scraper
- lever jobs scraper
- ashby jobs api
- workable jobs scraper
- smartrecruiters scraper
- ats job scraper
- company careers page scraper
- job listings api

### Options

- **Merge duplicate postings** — one row per job, locations joined. Off by
  default so you keep full fidelity; the run summary always shows both counts.
- **Max jobs** — hard cap across all boards. `0` means no limit.

# Actor input Schema

## `targets` (type: `array`):

One per line. Paste the careers page URL (https://boards.greenhouse.io/stripe, https://jobs.lever.co/palantir, https://jobs.ashbyhq.com/ramp, https://apply.workable.com/acme) or write platform:slug (greenhouse:stripe).

## `dedupe` (type: `boolean`):

Workable returns the same job once per accepted location. toloka-ai returns 1,404 rows but only 293 distinct jobs. Turn this on to get one row per job with locations merged. Greenhouse, Lever and Ashby are unaffected either way.

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

Stop after this many jobs across all boards.

## Actor input object example

```json
{
  "targets": [
    "https://boards.greenhouse.io/stripe",
    "https://jobs.lever.co/palantir"
  ],
  "dedupe": false,
  "maxItems": 0
}
```

# 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 = {
    "targets": [
        "https://boards.greenhouse.io/stripe",
        "https://jobs.lever.co/palantir"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kestrelsystems/ats-job-board-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 = { "targets": [
        "https://boards.greenhouse.io/stripe",
        "https://jobs.lever.co/palantir",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("kestrelsystems/ats-job-board-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 '{
  "targets": [
    "https://boards.greenhouse.io/stripe",
    "https://jobs.lever.co/palantir"
  ]
}' |
apify call kestrelsystems/ats-job-board-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/cUQIpVdW19iEik2kE/builds/bw8RMk0t9GDBj68tu/openapi.json