# Arbeitsagentur Jobs Scraper — German Jobs API | PPE (`bovi/arbeitsagentur-jobs-scraper`) Actor

Scrape job listings from Germany's Federal Employment Agency (Arbeitsagentur.de) via its official Jobsuche API. Returns title, employer, full description, location, salary, contract type and more. Pay per job delivered.

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

## Pricing

from $0.87 / 1,000 job listings

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

## Arbeitsagentur Jobs Scraper

Scrape job listings from **Germany's Federal Employment Agency**
(Bundesagentur für Arbeit — [arbeitsagentur.de](https://www.arbeitsagentur.de/jobsuche/)),
the country's largest official job board, via its public **Jobsuche API**.
No login, no account, no CAPTCHA.

### What you get

For every job (one dataset row, one PPE charge):

| Field | Description |
|---|---|
| `title`, `profession` | Job title and vocational category |
| `company`, `employer_hash` | Employer name and stable employer id |
| `location`, `postal_code`, `street`, `region`, `country` | Full workplace address |
| `latitude`, `longitude`, `distance_km` | Geo-coordinates and radius distance |
| `description` | Full job description (markdown) |
| `contract_type` | Employment / Apprenticeship / Self-employment / Internship |
| `compensation` | Stated salary / pay, when available |
| `work_modes`, `full_time` | Full-time / part-time / shift / home-office flags |
| `contract_duration`, `temporary_work`, `minor_employment` | Contract details |
| `disability_friendly`, `career_change_friendly` | Suitability flags |
| `all_locations` | Every workplace location on the posting |
| `published_date`, `first_published_date`, `modified_date`, `entry_date` | Timeline |
| `external_url`, `job_url` | Links to the posting |

### Input

- **Search keywords** — one or more German keywords (e.g. `Elektroingenieur`,
  `Softwareentwickler`). Leave empty to browse all jobs in a location.
- **Location** — city or region (e.g. `Berlin`, `München`), with a **radius (km)**.
- **Job type** — Employment / Apprenticeship / Self-employment / Internship.
- **Fetch full job details** — on by default; adds the full description,
  salary and contract fields (one extra request per job).
- **Max items** / **Max pages per keyword** — result caps.
- **Proxy** — Apify Proxy, RESIDENTIAL group, country **DE** (default).

### Pricing

Pay-per-event: you are charged once per job record delivered to the dataset.
The actor runs on your own Apify account and proxy — no extra keys required.

### How it works

The actor calls the official Jobsuche search endpoint, paginates the results,
and (optionally) fetches each job's detail document for the full description
and salary. All requests go through the Apify RESIDENTIAL proxy from the first
byte. This is a documented public API — the actor performs no login and stores
no credentials.

# Actor input Schema

## `searchKeywords` (type: `array`):

Job search keywords (German). Each entry is searched independently. E.g. \['Elektroingenieur', 'Softwareentwickler']. Leave empty to browse all jobs in the given location.

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

City or region filter, e.g. 'Berlin', 'München', 'Hamburg'. Leave empty to search all of Germany.

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

Radius around the location in kilometres. Ignored when no location is set.

## `jobType` (type: `string`):

Type of offer to search. ARBEIT = regular employment, AUSBILDUNG = apprenticeship/training, SELBSTAENDIGKEIT = self-employment, PRAKTIKUM = internship/trainee.

## `fetchDetails` (type: `boolean`):

Fetch each job's detail page for the full description, salary, contract type and other rich fields. Adds one extra request per job. Recommended on.

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

Maximum number of job records to return across all keywords.

## `maxPages` (type: `integer`):

How many result pages to fetch per keyword. Each page returns up to 25 jobs.

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

Proxy settings. Apify Proxy with the RESIDENTIAL group and country DE (Germany) is recommended for reliable access.

## Actor input object example

```json
{
  "searchKeywords": [
    "Elektroingenieur",
    "Softwareentwickler"
  ],
  "location": "Berlin",
  "radiusKm": 25,
  "jobType": "ARBEIT",
  "fetchDetails": true,
  "maxItems": 100,
  "maxPages": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  }
}
```

# Actor output Schema

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

Dataset containing Arbeitsagentur job records (title, company, location, description, compensation, contract\_type, profession, dates, coordinates, job\_url and more).

# 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 = {
    "searchKeywords": [
        "Elektroingenieur",
        "Softwareentwickler"
    ],
    "location": "Berlin",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "DE"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/arbeitsagentur-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 = {
    "searchKeywords": [
        "Elektroingenieur",
        "Softwareentwickler",
    ],
    "location": "Berlin",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "DE",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/arbeitsagentur-jobs-scraper").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 '{
  "searchKeywords": [
    "Elektroingenieur",
    "Softwareentwickler"
  ],
  "location": "Berlin",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  }
}' |
apify call bovi/arbeitsagentur-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bovi/arbeitsagentur-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OrrxBDDydtEXl3wpI/builds/NF8LjQGrHYzENsror/openapi.json