# Job Posting Data Extractor (`proprint_solutions_llc/job-posting-data-extractor`) Actor

Extract structured job data from public job posting URLs, including title, company, location, salary when available, employment type, posting date, description, and application URL.

- **URL**: https://apify.com/proprint\_solutions\_llc/job-posting-data-extractor.md
- **Developed by:** [Eric Arias](https://apify.com/proprint_solutions_llc) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 successful job results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Job Posting Data Extractor

Extract structured job data from public job posting URLs.

The Actor converts individual job posting pages into structured data that can be downloaded as JSON, CSV, Excel, or accessed through the Apify API.

### What does this Actor extract?

For supported job pages, the Actor can return:

- Job title
- Company
- Location
- Salary, when available
- Employment type
- Date posted
- Expiration date, when available
- Job description
- Application URL
- Original source URL
- Source platform

### Supported job pages

The Actor currently supports:

- Greenhouse job posting pages
- Public job pages that expose standard Schema.org `JobPosting` structured data

This includes many job boards and company career pages.

The Actor has been tested successfully with job postings from Greenhouse, Lever, and Dice.

Not every website exposes job information in the same format, so some job posting URLs may return `no_job_found`.

### Input

Provide one or more direct public job posting URLs.

Example:

```json
{
  "startUrls": [
    {
      "url": "https://example.com/jobs/software-engineer"
    }
  ],
  "maxRequestsPerCrawl": 20
}
```

# Actor input Schema

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

Paste one or more direct public job posting URLs.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of job posting URLs to process.

## Actor input object example

```json
{
  "maxRequestsPerCrawl": 20
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("proprint_solutions_llc/job-posting-data-extractor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("proprint_solutions_llc/job-posting-data-extractor").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 '{}' |
apify call proprint_solutions_llc/job-posting-data-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,proprint_solutions_llc/job-posting-data-extractor"
        }
    }
}
```

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/tBkA6cZECkhxcu4g0/builds/Yzlns83eauZWIGQ9a/openapi.json