# MetaJob.de Scraper (`rainminer/metajob-de-scraper`) Actor

Extract public German job listings from MetaJob.de search pages for recruitment research and lead generation. The Actor returns job titles, companies, locations, result URLs, salary text when available, and description snippets so teams can export and monitor hiring data in JSON, CSV, or Excel.

- **URL**: https://apify.com/rainminer/metajob-de-scraper.md
- **Developed by:** [rainminer](https://apify.com/rainminer) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.37 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## MetaJob.de Scraper

MetaJob.de Scraper extracts public German job listings from [metajob.de](https://www.metajob.de/). Use it to collect job titles, company names, locations, listing URLs, salary text when it is visible, and short listing snippets from MetaJob search pages.

### What can MetaJob.de Scraper do?

- Scrape public MetaJob.de search result pages.
- Export job leads to JSON, CSV, Excel, HTML, or XML through Apify datasets.
- Limit the number of jobs per start URL with `maxItems`.
- Run on a schedule to monitor German job market changes.
- Connect results to CRMs, spreadsheets, dashboards, or lead enrichment workflows.

### What data can you extract from MetaJob.de?

| Field | Description |
| --- | --- |
| `title` | Job title shown in the result card. |
| `company` | Company or source name when visible. |
| `location` | Job location text when available. |
| `url` | Absolute URL for the job listing or redirect page. |
| `salary` | Salary text when the listing shows one. |
| `descriptionSnippet` | Short public description snippet from the result card. |

### How to scrape MetaJob.de jobs

1. Open the input tab.
2. Add one or more MetaJob.de search URLs, such as `https://www.metajob.de/suche/software`.
3. Set `maxItems` to the number of listings you want per URL.
4. Run the Actor and download the dataset.

### How much does it cost to scrape MetaJob.de?

This Actor uses pay-per-event pricing after publication. You pay for the number of job listings saved to the dataset, plus any standard Apify platform usage shown before a run starts. Keep `maxItems` small for quick tests and increase it for larger exports.

### Is scraping MetaJob.de legal?

This Actor is designed for public web data only. It does not log in, use private accounts, or collect hidden account data. You are responsible for making sure your use of the results complies with applicable laws and the target website terms.

### Input example

```json
{
  "startUrls": [{ "url": "https://www.metajob.de/suche/software" }],
  "maxItems": 5,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

### Output example

```json
{
  "title": "Softwareentwickler",
  "company": "Example GmbH",
  "location": "Berlin",
  "url": "https://www.metajob.de/...",
  "salary": null,
  "descriptionSnippet": "Public listing summary..."
}
```

### Support

If the website layout changes or you need additional public fields, open an issue on the Actor page in Apify Console.

# Actor input Schema

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

One or more public MetaJob.de search URLs.

## `maxItems` (type: `integer`):

Maximum number of job listings to return per start URL.

## `proxyConfiguration` (type: `object`):

Proxy settings. MetaJob.de blocks some datacenter traffic, so Apify Proxy is enabled by default.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.metajob.de/suche/software"
    }
  ],
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "startUrls": [
        {
            "url": "https://www.metajob.de/suche/software"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rainminer/metajob-de-scraper").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": [{ "url": "https://www.metajob.de/suche/software" }],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("rainminer/metajob-de-scraper").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 '{
  "startUrls": [
    {
      "url": "https://www.metajob.de/suche/software"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call rainminer/metajob-de-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rainminer/metajob-de-scraper"
        }
    }
}

```

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/DYxqCi1NqZFFTsWt0/builds/JO7k1HQLa2Hn6J2bF/openapi.json