# Company Career Page & ATS Jobs API (`subimpact/ats-jobs-api`) Actor

Get live job postings straight from company career pages — Greenhouse, Lever, Ashby, Workday, SmartRecruiters — normalized into one schema, with new-job monitoring for HR-tech, VCs, and AI agents.

- **URL**: https://apify.com/subimpact/ats-jobs-api.md
- **Developed by:** [subimpact](https://apify.com/subimpact) (community)
- **Categories:** AI, Lead generation, Jobs
- **Stats:** 8 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 job scrapeds

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

## Company Career Page & ATS Jobs API

Get job postings **straight from the source** — company career pages and ATS boards — normalized into one clean schema. No LinkedIn/Indeed middlemen, no stale aggregator data. Built for HR-tech, talent intelligence, VC deal sourcing, and AI agents.

### Supported platforms

| ATS | Example URL | Notes |
|---|---|---|
| **Greenhouse** | `https://boards.greenhouse.io/anthropic` | Thousands of tech companies |
| **Ashby** | `https://jobs.ashbyhq.com/OpenAI` | Fast-growing startup standard |
| **Workday** | `https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite` | Enterprise / Fortune 500 |
| **Lever** | `https://jobs.lever.co/{company}` | Tech mid-market |
| **SmartRecruiters** | `https://careers.smartrecruiters.com/BoschGroup` | Enterprise EU/US |

Just paste the careers URL — the Actor detects the ATS automatically.

### Why career-page data beats job boards

- **First-party and complete**: every opening the company publishes, days before aggregators pick it up
- **Company-centric**: pass a list of target companies (competitors, portfolio companies, prospects) and get their full hiring picture
- **Monitoring built in**: scheduled runs detect new postings — feed them to Slack, your CRM, or an AI agent via webhook

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `companies` | array | *(required)* | Careers page URLs (or `{url, label}` objects) |
| `includeDescription` | boolean | `false` | Fetch full job description text + HTML |
| `maxJobsPerCompany` | integer | `0` | Cap jobs per company (0 = unlimited) |
| `onlyNewJobs` | boolean | `false` | Monitoring mode: output only jobs not seen in previous runs |
| `stateStoreName` | string | `ats-jobs-state` | Where seen-job state persists between runs |

### Output (one item per job)

```json
{
  "company": "Anthropic",
  "ats": "greenhouse",
  "jobId": "5274711008",
  "title": "Account Executive, Nonprofits & Higher Education - APAC",
  "location": "Sydney, Australia",
  "department": "Sales",
  "employmentType": "Full-time",
  "workplaceType": null,
  "url": "https://job-boards.greenhouse.io/anthropic/jobs/5274711008",
  "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5274711008",
  "postedAt": "2026-06-15T00:00:00.000Z",
  "descriptionText": "...(if enabled)",
  "firstSeenAt": "2026-07-20T...",
  "isNew": true,
  "scrapedAt": "2026-07-20T..."
}
```

### Pricing (pay per event)

- **Job scraped**: $0.004 per job returned
- **Company monitored**: $0.02 per company processed (includes state tracking)

A typical monitoring run — 50 companies, ~2,000 jobs — costs ~$9 first run, then near-zero until new postings appear (only new jobs are charged with monitoring mode on... see note below).

> **Note**: with `onlyNewJobs: true`, only newly posted jobs are pushed and charged — recurring weekly runs stay cheap.

### Integrations

- **API**: call via Apify API, get JSON/CSV/Excel
- **Webhooks**: on run finish → push new jobs to Slack, Make, n8n, Zapier
- **Schedules**: weekly/daily monitoring out of the box
- **MCP**: works as a tool for AI agents via the Apify MCP server

### Use cases

- Track competitor hiring (departments, locations, seniority)
- Talent-intelligence and HR-tech data feeds
- VC/investor signals: headcount growth, new offices, hiring freezes
- Job-board backfill with first-party employer data
- Sales triggers: companies hiring for a role = budget for adjacent tools

# Actor input Schema

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

Careers page or ATS board URLs to scrape, e.g. https://boards.greenhouse.io/anthropic, https://jobs.ashbyhq.com/OpenAI, https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite

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

Fetch full description text/HTML for each job. Slower and uses more requests, especially on Workday and Ashby.

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

Cap the number of jobs collected per company. 0 = no limit.

## `onlyNewJobs` (type: `boolean`):

Output only jobs not seen in previous runs (state persists across runs). Ideal for scheduled runs with a webhook to Slack/CRM.

## `stateStoreName` (type: `string`):

Named key-value store used to remember previously seen jobs.

## Actor input object example

```json
{
  "companies": [
    "https://boards.greenhouse.io/anthropic",
    "https://jobs.ashbyhq.com/OpenAI"
  ],
  "includeDescription": false,
  "maxJobsPerCompany": 0,
  "onlyNewJobs": false,
  "stateStoreName": "ats-jobs-state"
}
```

# Actor output Schema

## `jobs` (type: `string`):

One dataset item per job posting: title, company, location, department, employment type, URLs, posted date, optional full description, and monitoring flags (isNew, firstSeenAt).

# 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": [
        "https://boards.greenhouse.io/anthropic",
        "https://jobs.ashbyhq.com/OpenAI"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("subimpact/ats-jobs-api").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": [
        "https://boards.greenhouse.io/anthropic",
        "https://jobs.ashbyhq.com/OpenAI",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("subimpact/ats-jobs-api").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 '{
  "companies": [
    "https://boards.greenhouse.io/anthropic",
    "https://jobs.ashbyhq.com/OpenAI"
  ]
}' |
apify call subimpact/ats-jobs-api --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/12p8dSysDDORGigHR/builds/hL0cUb4pp6d1In4he/openapi.json