# Metacareers Jobsinfo Extractor (`getdataforme/metacareers-jobsinfo-extractor`) Actor

The Metacareers Jobsinfo Extractor scrapes job listings from Metacareers, capturing detailed role information like titles and qualifications....

- **URL**: https://apify.com/getdataforme/metacareers-jobsinfo-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 3 total users, 2 monthly users, 92.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

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

***

## Metacareers Jobsinfo Extractor

### Introduction

The Metacareers Jobsinfo Extractor is a powerful tool designed to scrape job listings from the Metacareers website. It efficiently extracts detailed information about various job roles, making it invaluable for recruiters, HR professionals, and job seekers looking to gather comprehensive data on available positions.

### Features

- **Comprehensive Data Extraction**: Captures extensive details including job title, location, department, responsibilities, qualifications, and more.
- **Customizable Input Parameters**: Allows users to specify URLs and set item limits for tailored scraping sessions.
- **High-Quality Output**: Provides structured JSON output that is easy to integrate with other systems or applications.
- **User-Friendly Configuration**: Simple setup process with clear input schema for seamless operation.
- **Scalable Performance**: Supports large-scale data extraction with adjustable item limits.

### Input Parameters

| Parameter     | Type    | Required | Description                                                                 | Example                                      |
|---------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------|
| `Urls`        | array   | Yes      | The URLs for the spider to scrape.                                          | `["https://www.metacareers.com/profile/job_details/27429175383418062/"]` |
| `item_limit`  | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                                         |

### Example Usage

#### Input JSON

```json
{
  "Urls": [
    "https://www.metacareers.com/profile/job_details/27429175383418062/"
  ],
  "item_limit": 10
}
```

#### Output JSON

```json
[
  {
    "job_id": "27429175383418062",
    "title": "Product Designer",
    "locations": ["London, UK"],
    "departments": ["Design & User Experience"],
    "internal_departments": ["Design"],
    "description": "<span>At Meta...</span>",
    "responsibilities": [
      "Take broad, conceptual ideas...",
      "Design flows and experiences..."
    ],
    "minimum_qualifications": [
      "Bachelor's degree in Design...",
      "Experience designing complex software products..."
    ],
    "preferred_qualifications": [
      "Experience connecting your work with other related initiatives...",
      "Demonstrated ability to integrate AI tools..."
    ],
    "apply_for_this_job": "Take the first step toward a rewarding career at Meta.",
    "url": "https://www.metacareers.com/profile/job_details/27429175383418062/",
    "input_source_key": "start_url:https://www.metacareers.com/profile/job_details/27429175383418062/",
    "actor_id": "HFqGZEBRXBhiKCfWO",
    "run_id": "0dYulSPbs5zg5013c"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data on job market trends and demands.
- **Competitive Intelligence**: Monitor competitor hiring strategies and roles.
- **Price Monitoring**: Track salary ranges for various positions.
- **Content Aggregation**: Compile job listings for newsletters or reports.
- **Academic Research**: Analyze employment patterns and industry needs.
- **Business Automation**: Integrate with HR systems for automated recruitment processes.

### Installation and Usage

1. Search for "Metacareers Jobsinfo Extractor" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as per your requirements.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array containing job listing objects with fields such as `job_id`, `title`, `locations`, `departments`, `description`, `responsibilities`, `minimum_qualifications`, `preferred_qualifications`, and more. Each field provides detailed information about the job listing.

### Support Section

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Urls": [
    "https://www.metacareers.com/profile/job_details/27429175383418062/"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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("getdataforme/metacareers-jobsinfo-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("getdataforme/metacareers-jobsinfo-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 getdataforme/metacareers-jobsinfo-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/metacareers-jobsinfo-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/HFqGZEBRXBhiKCfWO/builds/GteFGuPTMxoTAy7wN/openapi.json