# Bundesagentur Scraper (`jobscrawler/bundesagentur-scraper`) Actor

Extract job listings from Bundesagentur für Arbeit, Germany's federal employment agency (Jobbörse).

- **URL**: https://apify.com/jobscrawler/bundesagentur-scraper.md
- **Developed by:** [Jobs Scraper](https://apify.com/jobscrawler) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.

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

## Bundesagentur Scraper

### Overview

Navigate Germany's federal employment agency portal (Bundesagentur für Arbeit / Jobbörse) to compile officially registered job openings. This actor extracts listing data from Germany's most comprehensive public employment database, covering positions across all industries and qualification levels in the DACH region.

### Features

- Official German federal employment agency data
- Berufenet occupation classification integration
- Bundesland and city-level regional filtering
- Arbeitszeit and contract type specifications
- Proxy rotation with automatic fallback (residential → datacenter)
- CAPTCHA detection and session rotation
- Automatic retry on failures with exponential backoff
- Deduplication of results by application URL
- Dataset validation with auto-fix capability

### Supported Inputs

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `keyword` | string | `"software engineer"` | Search terms for job discovery |
| `location` | string | `"Berlin"` | Geographic filter for results |
| `country` | string | `"DE"` | Country code for proxy routing |
| `maxItems` | integer | `50` | Upper limit on extracted listings |
| `proxyEnabled` | boolean | `true` | Toggle proxy rotation on/off |
| `sortBy` | string | `"relevance"` | Result ordering (relevance/date/salary) |
| `jobType` | string | `""` | Employment type filter |
| `experienceLevel` | string | `""` | Seniority level filter |
| `datePosted` | string | `""` | Recency filter (24h/3d/7d/14d/30d) |
| `remoteOnly` | boolean | `false` | Restrict to remote positions only |
| `includeCompanyDetails` | boolean | `true` | Fetch extra company information |
| `includeSalary` | boolean | `true` | Include compensation data |

### Output Format

Each scraped listing produces a JSON object with these fields:

```json
{
    "jobTitle": "Senior Software Engineer",
    "companyName": "Example Corp",
    "location": "Berlin",
    "salary": "$120,000 - $160,000",
    "jobType": "Full-time",
    "experienceLevel": "Senior",
    "postedDate": "2 days ago",
    "applyUrl": "https://www.arbeitsagentur.de/job/12345",
    "companyUrl": "https://www.arbeitsagentur.de/company/example",
    "description": "We are looking for a skilled engineer...",
    "requirements": ["JavaScript", "Node.js", "React"],
    "benefits": ["Health Insurance", "Remote Work"],
    "sourcePortal": "Bundesagentur für Arbeit",
    "country": "DE",
    "scrapedAt": "2025-01-15T10:30:00.000Z"
}
```

### Proxy Handling

The actor employs a multi-tier proxy strategy to maximize successful data extraction.

1. **Apify Residential Proxy** (country-targeted) — First choice for Bundesagentur für Arbeit
2. **Apify Residential Proxy** (any region) — Fallback if country proxy unavailable
3. **Apify Datacenter Proxy** — Secondary fallback for cost efficiency
4. **Direct Connection** — Last resort when all proxies fail

Proxies auto-rotate on each request. Blocked sessions are discarded and replaced automatically.

### Retry Logic

Failed requests are retried up to 5 times with automatic session rotation.

- Maximum 5 retries per request
- Fresh browser session on each retry
- Automatic proxy rotation between attempts
- Blocked status codes (401, 403, 429) trigger session refresh
- Configurable request timeout (120 seconds)

### Anti-block Handling

The actor incorporates multiple stealth techniques to minimize detection.

- `navigator.webdriver` property masked
- Human-like delays between page interactions (2–5 seconds)
- Browser language and plugin fingerprints normalised
- Session pool with automatic rotation on blocks
- CAPTCHA detection with graceful retry
- Rate limit detection (HTTP 429) with backoff

### Sample Input

```json
{
    "keyword": "data analyst",
    "location": "Berlin",
    "maxItems": 25,
    "proxyEnabled": true,
    "sortBy": "date",
    "remoteOnly": false
}
```

### Sample Output

```json
{
    "jobTitle": "Data Analyst",
    "companyName": "TechCorp International",
    "location": "Berlin",
    "salary": "Competitive",
    "jobType": "Full-time",
    "experienceLevel": "Mid-level",
    "postedDate": "1 day ago",
    "applyUrl": "https://www.arbeitsagentur.de/job/example-123",
    "companyUrl": "",
    "description": "Seeking a detail-oriented data analyst to join our growing team...",
    "requirements": ["SQL", "Python", "Tableau"],
    "benefits": ["Health Insurance", "Flexible Hours"],
    "sourcePortal": "Bundesagentur für Arbeit",
    "country": "DE",
    "scrapedAt": "2025-01-15T14:22:00.000Z"
}
```

### Usage

#### Local Development

```bash
## Install dependencies
npm install

## Set Apify token (required for proxy)
export APIFY_TOKEN=your_token_here

## Run the actor
npm start

## Validate scraped data
node dataset-validator.js
```

#### Apify Platform

```bash
## Login to Apify
apify login

## Push actor to platform
apify push

## Run from Apify Console or API
```

### Deployment

1. Ensure all dependencies are installed: `npm install`
2. Authenticate with Apify: `apify login`
3. Deploy the actor: `apify push`
4. Configure input in the Apify Console
5. Schedule runs or trigger via API / webhooks

### Limitations

- Results depend on the portal's current HTML structure; layout changes may require selector updates
- Some job details (salary, benefits) may not be available for all listings
- Rate limiting by the portal may reduce throughput during high-volume scrapes
- CAPTCHA challenges may interrupt scraping on heavily protected pages
- Bundesagentur für Arbeit may modify their anti-bot measures, requiring periodic updates
- Maximum items per run is capped at 1000 to prevent excessive resource usage
- Proxy costs apply when using Apify residential or datacenter proxies

# Actor input Schema

## `keyword` (type: `string`):

Job title or keywords to search for.

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

City, state, or region to search in.

## `country` (type: `string`):

Country code or name.

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

Maximum number of job listings to scrape.

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

Maximum number of search result pages to crawl (each page ~25 jobs).

## `proxyEnabled` (type: `boolean`):

Enable proxy rotation for anti-blocking.

## `sortBy` (type: `string`):

Sort order for results.

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

Filter by employment type (full-time, part-time, contract, etc.).

## `experienceLevel` (type: `string`):

Filter by seniority (entry, mid, senior, etc.).

## `datePosted` (type: `string`):

Filter by posting recency.

## `remoteOnly` (type: `boolean`):

Only return remote/work-from-home positions.

## `includeCompanyDetails` (type: `boolean`):

Extract additional company information when available.

## `includeSalary` (type: `boolean`):

Extract salary/compensation details when available.

## Actor input object example

```json
{
  "keyword": "software engineer",
  "location": "Berlin",
  "country": "DE",
  "maxItems": 50,
  "maxPages": 1,
  "proxyEnabled": true,
  "sortBy": "relevance",
  "jobType": "",
  "experienceLevel": "",
  "datePosted": "",
  "remoteOnly": false,
  "includeCompanyDetails": true,
  "includeSalary": true
}
```

# 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("jobscrawler/bundesagentur-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("jobscrawler/bundesagentur-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 jobscrawler/bundesagentur-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/HZkn6Iqg6kefDkwGj/builds/mvvNCDW8qFAc4TePP/openapi.json