# Arbeitsagentur Jobs Scraper — Germany, Geodata & Home Office (`montkit/german-jobs-scraper`) Actor

Extract job postings from Germany's Jobbörse (Bundesagentur für Arbeit), the country's largest job database. Structured data: title, company, geocoordinates, home-office flag, standardized occupation codes, full descriptions. Filter by keyword, city, radius. Maintained continuously.

- **URL**: https://apify.com/montkit/german-jobs-scraper.md
- **Developed by:** [Montkit Studio](https://apify.com/montkit) (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 $1.50 / 1,000 job scrapeds

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?

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

## German Jobs Scraper — Bundesagentur für Arbeit 🇩🇪

Structured job postings from **Germany's largest job database** — the Jobbörse of the Federal Employment Agency (Bundesagentur für Arbeit, arbeitsagentur.de). Results come back as clean JSON records, not parsed HTML, so the output stays stable as the site changes.

### What you get per job

- Title, company, standardized occupation classification
- City, postal code, federal state — plus **latitude/longitude geocoordinates**
- **Home-office flag**, career-changer-friendly flag, workload (full/part-time/shift)
- Contract duration, start date, posting date
- Full description text and both the official and the employer's external URL

### Use cases

- **Recruiting & sourcing** at national scale — hundreds of thousands of live postings
- **Lead generation**: hiring companies, with geo-data for territory mapping
- **Labor-market research**: demand by occupation, region, remote-share trends
- **Job aggregation**: cleanest possible German feed for boards and alert products

### Why this actor

- **Nationwide coverage** — the Jobbörse aggregates postings from employers across all of Germany, including many roles that never reach the commercial boards
- Standardized occupation names enable real cross-company analytics
- Geocoordinates on every localized posting — map-ready
- Transparent pay-per-result pricing; filtered searches by keyword, city, radius

Part of the **Montkit DACH jobs suite**: Swiss Jobs Scraper (jobs.ch & jobup.ch) · Austrian Jobs Scraper (karriere.at, salary data) · German Jobs Scraper.

# Actor input Schema

## `keywords` (type: `string`):

What to search for, e.g. 'softwareentwickler', 'pflegekraft', 'buchhalter'. Leave empty for all newest postings.

## `location` (type: `string`):

City or region, e.g. 'Berlin', 'München', 'Bayern'. Optional.

## `radiusKm` (type: `integer`):

Search radius around the location, in km. 0 = exact location only.

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

Stop after delivering this many job postings.

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

Fetch the complete job description for each posting (one extra API call per job).

## `accumulate` (type: `boolean`):

Advanced. Also append every delivered job (without the long description text) to a named dataset in your account, so repeated scheduled runs build a job-market time series instead of separate one-off run datasets.

## Actor input object example

```json
{
  "keywords": "softwareentwickler",
  "radiusKm": 0,
  "maxItems": 100,
  "includeDescription": true,
  "accumulate": false
}
```

# 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 = {
    "keywords": "softwareentwickler"
};

// Run the Actor and wait for it to finish
const run = await client.actor("montkit/german-jobs-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 = { "keywords": "softwareentwickler" }

# Run the Actor and wait for it to finish
run = client.actor("montkit/german-jobs-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 '{
  "keywords": "softwareentwickler"
}' |
apify call montkit/german-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,montkit/german-jobs-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/W8ceWoGJkR7RpNuvx/builds/R1MxsNJWztz1TlJeq/openapi.json