# Job Postings — ATS Boards Extractor (`cynix_dev/job-postings-ats`) Actor

Pull live job postings straight from companies' public applicant-tracking boards — Greenhouse, Lever, Ashby, SmartRecruiters, and Recruitee

- **URL**: https://apify.com/cynix\_dev/job-postings-ats.md
- **Developed by:** [Cynix Dev](https://apify.com/cynix_dev) (community)
- **Categories:** Automation, Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.17 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Job Postings — ATS Boards Extractor

Pull **live job postings** straight from companies' public applicant-tracking
boards — **Greenhouse, Lever, Ashby, SmartRecruiters, and Recruitee** — as
clean, typed records. No LinkedIn, no scraping fragile HTML, no API keys.

Companies publish these boards intentionally; this actor reads the same public
JSON their careers pages use, then normalizes five different ATS formats into
one consistent schema.

### Input

```json
{
  "companies": ["greenhouse:stripe", "lever:spotify", "ashby:openai"],
  "keywords": ["engineer", "data"],
  "locations": ["remote", "london"],
  "remoteOnly": false,
  "includeDescription": false
}
```

The slug is the company identifier on its board URL:
`boards.greenhouse.io/<slug>`, `jobs.lever.co/<slug>`, `jobs.ashbyhq.com/<slug>`,
`careers.smartrecruiters.com/<slug>`, `<slug>.recruitee.com`.

### Output record

| Field | Description |
|-------|-------------|
| `ats`, `company` | Source board |
| `title`, `department`, `employmentType` | Role info |
| `location`, `secondaryLocations`, `isRemote` | Where |
| `salary` | Salary range when the board exposes it (Lever/Ashby) |
| `postedAt` | Posting/updated date |
| `applyUrl` | Direct application link |
| `description` | Plain-text JD (opt-in) |

### Use cases

- **Recruiting intel** — track competitor hiring by team and location.
- **"Who's hiring" newsletters & job boards** — schedule daily, diff against
  yesterday, publish the new postings.
- **Market research** — hiring velocity as a company-health signal.
- **Job search automation** — watch your target companies, filter by keyword,
  get alerts via Apify webhooks.

### Notes

- All five ATS endpoints are public and unauthenticated by design.
- A run with an unknown slug logs a warning and continues with the rest.
- Salary appears only where boards expose it (Lever `salaryRange`, Ashby
  compensation summary).

# Actor input Schema

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

One entry per company as 'ats:slug'. Supported ATS: greenhouse, lever, ashby, smartrecruiters, recruitee, workable, icims, teamtailor. The slug is the company's board identifier — e.g. 'greenhouse:stripe' (boards.greenhouse.io/stripe), 'lever:spotify' (jobs.lever.co/spotify), 'ashby:openai' (jobs.ashbyhq.com/openai), 'workable:acme', 'icims:company', 'teamtailor:startup'.

## `keywords` (type: `array`):

Only keep postings whose title contains ANY of these (case-insensitive). Empty = all.

## `locations` (type: `array`):

Only keep postings matching ANY of these location substrings, e.g. 'london', 'united states'. Empty = all.

## `remoteOnly` (type: `boolean`):

Only keep postings flagged as remote.

## `employmentTypes` (type: `array`):

Filter by employment type: full\_time, part\_time, contract, internship, temporary.

## `experienceLevels` (type: `array`):

Filter by detected experience level: entry, mid, senior, lead, executive.

## `departments` (type: `array`):

Filter by normalized department: engineering, data, product, design, sales, marketing, customer\_success, operations, finance, hr, legal.

## `postedAfter` (type: `string`):

Only jobs posted after this date (YYYY-MM-DD).

## `postedBefore` (type: `string`):

Only jobs posted before this date (YYYY-MM-DD).

## `salaryMin` (type: `number`):

Filter out jobs below this annualized salary. Only works when source provides salary data.

## `salaryMax` (type: `number`):

Filter out jobs above this annualized salary. Only works when source provides salary data.

## `maxResultsPerCompany` (type: `integer`):

Cap per company after filtering.

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

Include plain-text job description in each record (larger records).

## `includeCompanyMeta` (type: `boolean`):

Fetch and include company info (name, domain, offices) from ATS where available.

## Actor input object example

```json
{
  "companies": [
    "greenhouse:stripe",
    "lever:spotify",
    "ashby:openai"
  ],
  "keywords": [],
  "locations": [],
  "remoteOnly": false,
  "employmentTypes": [],
  "experienceLevels": [],
  "departments": [],
  "maxResultsPerCompany": 500,
  "includeDescription": false,
  "includeCompanyMeta": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

One record per job posting: title, company, location, remote flag, salary, apply URL.

# 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": [
        "greenhouse:stripe",
        "lever:spotify",
        "ashby:openai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("cynix_dev/job-postings-ats").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": [
        "greenhouse:stripe",
        "lever:spotify",
        "ashby:openai",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("cynix_dev/job-postings-ats").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": [
    "greenhouse:stripe",
    "lever:spotify",
    "ashby:openai"
  ]
}' |
apify call cynix_dev/job-postings-ats --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cynix_dev/job-postings-ats"
        }
    }
}

```

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/Zcgt8SPPCMNbMDLDM/builds/jV70ZRgt6R3PZzh5Y/openapi.json