# Arbeitsagentur Jobs Scraper — Bundesagentur für Arbeit (`ambitious_silo/arbeitsagentur-jobs-scraper`) Actor

Scrape job listings from arbeitsagentur.de (German Federal Employment Agency). Search by keyword, location, and employment type. Returns structured data with title, company, salary, location, and full details.

- **URL**: https://apify.com/ambitious\_silo/arbeitsagentur-jobs-scraper.md
- **Developed by:** [Ambition Silo](https://apify.com/ambitious_silo) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 0 monthly users, 96.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 job-results

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

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 **arbeitsagentur.de** — the German Federal Employment Agency's job board with over 1 million active listings.

#### Features

- Search by keyword, location, and radius
- Filter by employment type (full-time, part-time, minijob, working student)
- Filter by job type (employment or apprenticeship)
- Fetch full job details (description, requirements, contact info)
- Clean structured output with coordinates

#### Output fields

Each result contains:

| Field | Description |
|-------|-------------|
| `refnr` | Official reference number (e.g. `20390-938015539-S`) |
| `title` | Job title |
| `company` | Employer name |
| `mainProfession` | Classified profession |
| `salary` | Salary information (when provided) |
| `contractDuration` | Permanent or temporary |
| `location` | Full address with lat/long |
| `publishDate` | First published date |
| `detailUrl` | Direct link to BA job detail page |
| `fullDetails` | Full description + contact (when `fetchFullDetails` is enabled) |

#### Pricing

**Free tier:** First 10 job listings per run are free. After that: $0.003 per job result.

Example costs:

- 10 jobs (free tier): **$0.00**
- 50 jobs: ~$0.12
- 100 jobs: ~$0.27
- 500 jobs: ~$1.47

# Actor input Schema

## `searchQueries` (type: `array`):

Job keywords to search for (e.g. 'Python Developer', 'Krankenschwester', 'LKW Fahrer'). Leave empty to search all jobs.

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

City, postal code, or region in Germany. Leave empty for nationwide.

## `radius` (type: `integer`):

Search radius around the location in kilometers.

## `employmentType` (type: `string`):

Filter by type of employment.

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

Filter by the type of offering.

## `publishedSince` (type: `integer`):

Only show jobs published within the last N days.

## `maxResults` (type: `integer`):

Maximum number of jobs to scrape per search query.

## `fetchFullDetails` (type: `boolean`):

If true, visits each job detail page to get the full description, requirements, and contact information. Slower but more complete.

## Actor input object example

```json
{
  "searchQueries": [
    "Softwareentwickler"
  ],
  "location": "Berlin",
  "radius": 30,
  "employmentType": "",
  "jobType": "1",
  "publishedSince": 30,
  "maxResults": 100,
  "fetchFullDetails": false
}
```

# Actor output Schema

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

All scraped items stored in the default 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("ambitious_silo/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 = {}

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/z8jORWuEKSGBRSC6t/builds/gFNJlyyRdGyWfmD1o/openapi.json