# Career Site Job Listing API (`213x/career-site-job-listing-api`) Actor

Extract live job postings from company career pages, Greenhouse, Lever, Ashby, and generic JobPosting structured data.

- **URL**: https://apify.com/213x/career-site-job-listing-api.md
- **Developed by:** [ys](https://apify.com/213x) (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

from $3.00 / 1,000 job founds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Career Site Job Listing API

Extract live job postings from company career sites and common ATS platforms.

This Actor turns company domains, career pages, Greenhouse boards, Lever job boards, Ashby job boards, and pages with `JobPosting` structured data into clean job-listing datasets.

### Why this sells

Jobs data is a strong Apify category because it powers recruiting tools, job boards, market research, sales trigger workflows, and hiring-signal lead generation.

### Input

```json
{
  "startUrls": [
    "https://boards.greenhouse.io/airbnb",
    "https://jobs.lever.co/netlify"
  ],
  "maxJobsPerCompany": 100,
  "includeDescription": true
}
```

### Output

```json
{
  "company": "Netlify",
  "jobTitle": "Senior Software Engineer",
  "department": "Engineering",
  "location": "Remote",
  "employmentType": "Full-time",
  "jobUrl": "https://jobs.lever.co/netlify/...",
  "sourcePlatform": "lever",
  "descriptionText": "...",
  "remote": true,
  "roleCategory": "engineering",
  "seniority": "senior"
}
```

### Use cases

- recruiting and staffing research;
- company hiring-signal monitoring;
- job board aggregation;
- sales trigger data;
- investor/market intelligence;
- AI agent tools for job/company data.

### Supported sources

- Greenhouse public job boards
- Lever public job boards
- Ashby public job boards
- pages with schema.org `JobPosting` JSON-LD
- generic career pages with job-like links as fallback

### Suggested pricing

Pay per event: `$0.002–$0.004` per job found, plus a small Actor start fee.

# Actor input Schema

## `startUrls` (type: `array`):

Domains, company homepages, career pages, Greenhouse/Lever/Ashby URLs, or direct pages containing JobPosting JSON-LD.

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

Maximum jobs to save per input.

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

Include cleaned job description text when available.

## Actor input object example

```json
{
  "startUrls": [
    "https://boards.greenhouse.io/airbnb",
    "https://jobs.lever.co/netlify"
  ],
  "maxJobsPerCompany": 100,
  "includeDescription": true
}
```

# 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 = {
    "startUrls": [
        "https://boards.greenhouse.io/airbnb",
        "https://jobs.lever.co/netlify"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("213x/career-site-job-listing-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 = { "startUrls": [
        "https://boards.greenhouse.io/airbnb",
        "https://jobs.lever.co/netlify",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("213x/career-site-job-listing-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 '{
  "startUrls": [
    "https://boards.greenhouse.io/airbnb",
    "https://jobs.lever.co/netlify"
  ]
}' |
apify call 213x/career-site-job-listing-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=213x/career-site-job-listing-api",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/L0oHxKpmy5jgvDSlI/builds/X6phjevuBctaddoaO/openapi.json