# ATS Jobs Scraper & Change Monitor (`primeflowio/ats-jobs-scraper`) Actor

Get every open job from any company's career page — Greenhouse, Lever, Ashby, SmartRecruiters — normalized into one schema. Monitor mode returns only what changed: new, removed and edited postings. Official job-board APIs, no proxies. Watch 100 companies daily for ~$8/month.

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

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## ATS Jobs Scraper & Change Monitor — Greenhouse, Lever, Ashby, SmartRecruiters

Give it a list of companies — get **every open job from their career pages**, normalized
into one clean schema. Switch on **monitor mode** and each scheduled run returns only
**what changed**: new postings, removed postings, edited postings (title, location,
salary). No proxies, no scraping tricks — the Actor reads the same public job-board
APIs the career pages themselves use.

### What you get

Each job record:

| Field | Example |
|---|---|
| `company` / `ats` | `stripe` / `greenhouse` |
| `title` | Backend Engineer, Payments |
| `department` / `team` | Engineering / Payments |
| `location` | New York · Remote |
| `remote` | `true` |
| `employment_type` | Full-time |
| `salary_min` / `salary_max` / `salary_currency` | 140000 / 180000 / USD (where the board exposes it) |
| `url` | direct apply link |
| `published_at` / `updated_at` | ISO dates |

In monitor mode, change records add `"change": "new" | "removed" | "changed"`.

### Supported ATS (auto-detected)

- **Greenhouse** — `boards.greenhouse.io/...`
- **Lever** — `jobs.lever.co/...`
- **Ashby** — `jobs.ashbyhq.com/...`
- **SmartRecruiters** — `careers.smartrecruiters.com/...`

Pass a bare slug (`stripe`), a career-page URL, or an explicit `greenhouse:stripe`.
The Actor probes all four ATS for bare slugs and caches the answer, so later runs
are fast.

### Two modes

**Pull** — returns all current jobs every run. Good for one-off datasets and lead lists.

**Monitor** (default) — the first run saves a baseline; every later run compares and
returns **only the diff**. Put the Actor on a daily [schedule](https://docs.apify.com/platform/schedules)
and pipe the dataset into Slack, n8n, Make or a webhook: you get pinged the day a
company opens (or quietly closes) a role. You pay cents for the change records instead
of re-downloading a 500-job board every day.

### Who uses this

- **Recruiting agencies** — a company opening 5 sales roles is a placement opportunity. Be first.
- **B2B sales / GTM teams** — job postings are buying signals: a new *Head of Data* means
  data-tooling budget. Watch your target accounts' hiring instead of paying $99+/mo
  for a signals platform.
- **Job seekers (power users)** — watch your 30 dream companies and apply on day one,
  not when the posting hits aggregators.
- **Analysts & founders** — track competitors' headcount moves by department.
- **AI agents** — callable via [Apify MCP](https://docs.apify.com/platform/integrations/mcp):
  “what is company X hiring for right now?”

### Pricing

Pay per event, no subscription:

| Event | Price | When |
|---|---|---|
| Company checked | $0.002 | each company successfully fetched |
| Job result | $0.002 | each job row (pull mode, first baseline, or optional snapshot) |
| Change found | $0.008 | each new / removed / changed posting in monitor mode |

Typical spend: watching **100 companies daily** with ~10 changes a day ≈ **$8–9/month**.
Companies that fail (no supported board found) are **never charged**.

### Example: Slack alert on a competitor's new job (n8n)

1. Schedule this Actor daily with your watchlist, mode = `monitor`.
2. n8n → **Apify node**: “Get dataset items” from the last run, filter `record_type = change`, `change = new`.
3. **Slack node**: post `{{company}} just opened: {{title}} ({{location}}) — {{url}}`.

The same three steps work in Make, Zapier or a plain webhook.

### Input example

```json
{
    "companies": ["stripe", "linear", "https://jobs.lever.co/spotify"],
    "mode": "monitor"
}
```

### FAQ

**Where does the data come from?** From the public job-board APIs of each ATS —
the same JSON the company's own careers page loads. No login, no proxies, no
personal data: only public job postings.

**A company isn't found?** Its careers site runs on an ATS we don't support yet
(e.g. Workday) or uses a custom board. You are not charged for it. Tell us in the
Issues tab — the next ATS integrations are prioritized by requests.

**How do I reset the monitor baseline?** Delete the `ats-jobs-monitor-state`
key-value store in your Apify console (Storage → Key-value stores) — the next run
rebuilds it.

# Actor input Schema

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

One entry per company. Accepts a board slug (e.g. <code>stripe</code>), a career-page URL (<code>https://boards.greenhouse.io/stripe</code>, <code>https://jobs.lever.co/spotify</code>, <code>https://jobs.ashbyhq.com/linear</code>, <code>https://careers.smartrecruiters.com/Visa</code>) or an explicit <code>ats:slug</code> pair (<code>greenhouse:stripe</code>). The ATS is auto-detected for bare slugs.

## `mode` (type: `string`):

Monitor is the cheap way to watch companies on a schedule: you pay for the small change records, not for re-downloading the whole board every day.

## `includeSnapshot` (type: `boolean`):

If enabled, monitor runs push the complete current job list (billed per job) in addition to the change records.

## `maxJobsPerCompany` (type: `integer`):

0 = unlimited. Use to cap spend on very large boards (jobs are billed per result in pull/baseline/snapshot).

## Actor input object example

```json
{
  "companies": [
    "stripe",
    "linear",
    "https://jobs.lever.co/spotify"
  ],
  "mode": "monitor",
  "includeSnapshot": false,
  "maxJobsPerCompany": 0
}
```

# Actor output Schema

## `all` (type: `string`):

Every record from this run: jobs, changes and per-company errors.

## `changes` (type: `string`):

Only the change records (new / removed / changed) — the thing to pipe into Slack, n8n or Make.

# 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": [
        "stripe",
        "linear",
        "https://jobs.lever.co/spotify"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("primeflowio/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 = { "companies": [
        "stripe",
        "linear",
        "https://jobs.lever.co/spotify",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("primeflowio/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 '{
  "companies": [
    "stripe",
    "linear",
    "https://jobs.lever.co/spotify"
  ]
}' |
apify call primeflowio/ats-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,primeflowio/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/eR3QYdy8bXCC0uOLc/builds/gD6XHN5v1xvyZVAzC/openapi.json