# Arbeitsagentur Jobs Scraper – Germany Jobbörse API (`jet_mythology/arbeitsagentur-jobs-scraper`) Actor

Scrape job listings from the Arbeitsagentur Jobbörse, Germany's largest job board (1M+ jobs), via its official API. Filter by keyword, city, radius, salary, remote, part-time, apprenticeship. Salary ranges, full descriptions, new-jobs-only monitoring. No login.

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

## Pricing

Pay per event

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Arbeitsagentur Jobs Scraper – Germany Jobbörse API

Scrape job listings from the **Bundesagentur für Arbeit Jobbörse** (arbeitsagentur.de), Germany's largest job board with **1,000,000+ open jobs, apprenticeships and internships**, using its official public JSON API. No login, no browser, no proxies, so runs are fast and cheap.

Search by **keyword, city or postal code, radius**, and filter by **salary, remote / home office, full-time or part-time, permanent or temporary contract, apprenticeship (Ausbildung), internship, employer** and more. Get **salary ranges**, coordinates, publication dates and, optionally, the **full job description**. Turn on **"only new jobs"** and schedule it daily to get a feed of fresh German job postings.

### What can you use it for?

- **Job market & salary analytics for Germany**: demand per occupation, city or region, published salary ranges (Gehaltsspanne).
- **Job aggregators and niche job boards**: daily import of new German jobs (Pflege, IT, Handwerk, Logistik, Ausbildung...).
- **Recruiting & HR research**: which employers hire which roles, where, and how often.
- **Lead lists of hiring companies**: employer names, locations, occupations (company data only, no personal data).
- **Alerts**: "new Data Engineer jobs in Berlin", "new Ausbildung Elektroniker in München" straight to your sheet, Slack or webhook.

### Features

- Official Arbeitsagentur Jobsuche API (`rest.arbeitsagentur.de`), the same one the arbeitsagentur.de website uses.
- Several keywords in one run, de-duplicated.
- Filters: location + radius, published within N days, offer type (job / Ausbildung / Praktikum / self-employment), working time (full-time, part-time, shift/night/weekend, home office, minijob), contract (befristet / unbefristet), employer, occupational field (Berufsfeld), exclude temp agencies (Zeitarbeit) and private recruiters, disability-friendly jobs.
- **Salary filter**: only jobs with a published salary, or a minimum annual salary (hourly and monthly salaries are annualised).
- **Full description** on demand, with e-mail addresses and phone numbers removed (GDPR-friendly).
- **Monitoring mode**: outputs only jobs you have not seen in previous runs.
- Clean **English field names**, ready for Excel, Google Sheets, JSON, CSV, or the Apify API.

### Input example

```json
{
  "keywords": ["Data Engineer", "Pflegefachkraft"],
  "location": "Berlin",
  "radiusKm": 25,
  "publishedWithinDays": 7,
  "workTime": ["fullTime", "homeOffice"],
  "onlyWithSalary": false,
  "includeDescription": true,
  "onlyNewJobs": true,
  "maxItems": 500
}
```

Leave `keywords` empty to get **all** jobs for a location and filters.

### Output example

```json
{
  "id": "10000-1201234567-S",
  "title": "Softwareentwickler (m/w/d) Java",
  "employer": "Example GmbH",
  "url": "https://www.arbeitsagentur.de/jobsuche/jobdetail/10000-1201234567-S",
  "applyUrl": "https://www.example.de/karriere/123",
  "isExternalListing": true,
  "offerType": "job",
  "occupation": "Softwareentwickler/in",
  "city": "München",
  "postalCode": "80331",
  "region": "BAYERN",
  "country": "DEUTSCHLAND",
  "latitude": 48.137,
  "longitude": 11.575,
  "distanceKm": 2,
  "workTime": ["fullTime"],
  "remotePossible": true,
  "contractDuration": "UNBEFRISTET",
  "salaryPeriod": "year",
  "salaryMin": 60000,
  "salaryMax": 85000,
  "salaryCurrency": "EUR",
  "startDate": "2026-11-01",
  "publishedAt": "2026-10-20",
  "description": "Ihre Aufgaben: ...",
  "searchKeyword": "Softwareentwickler",
  "scrapedAt": "2026-10-27T11:12:13+00:00",
  "source": "arbeitsagentur.de"
}
```

### Pricing

Pay per result, no monthly fee:

| Event | Price |
|---|---|
| Job listing (`job`) | **$0.40 per 1,000 jobs** |
| Job listing + full description (`job-details`) | **$1.00 per 1,000 jobs** |

Example: 10,000 Berlin jobs with salary and location ≈ $4. A daily "new jobs only" monitor typically costs a few cents per day. Set a **maximum cost per run** in the run options to stay in control.

### Tips & limits

- The API returns at most ~10,000 results per search. For more, split by keyword, location or `publishedWithinDays` (e.g. daily monitoring with `publishedWithinDays: 1`).
- Many employers publish no salary: use `onlyWithSalary` for salary studies.
- `isExternalListing: true` means the job is mirrored from an employer or partner site; `applyUrl` points there.
- Data comes from the public Jobbörse and reflects what employers publish there.

### Legal & privacy

This Actor reads the public Jobbörse API without login. It collects **job and company information only**. Contact persons are not exported as fields, and with `redactContactData` (default on) e-mail addresses and phone numbers are removed from description texts. Names can still appear inside free-text descriptions written by employers. You are responsible for using the data in line with GDPR and the terms of the Bundesagentur für Arbeit. Not affiliated with the Bundesagentur für Arbeit.

### FAQ

**Is there an official Arbeitsagentur API?** Yes. The Jobsuche API is public and documented by the community project [bundesAPI/jobsuche-api](https://github.com/bundesAPI/jobsuche-api). This Actor wraps it with pagination, filters, salary normalisation, monitoring and clean output.

**Can I get apprenticeships (Ausbildungsplätze) only?** Yes. Set `offerType` to `apprenticeship`.

**Can I export to Excel / Google Sheets?** Yes. Every dataset can be downloaded as CSV, Excel, JSON or XML, or pushed through Apify integrations (Google Sheets, Make, Zapier, n8n, webhooks).

# Actor input Schema

## `keywords` (type: `array`):

Job titles or keywords (German or English), one search per entry, e.g. "Data Engineer", "Pflegefachkraft", "Elektriker". Leave empty to get all jobs for the location/filters.

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

City, postal code or region in Germany, e.g. "Berlin", "80331", "Bayern". Empty = all of Germany.

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

Search radius around the location in km.

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

Maximum number of jobs to save (across all keywords).

## `publishedWithinDays` (type: `integer`):

Only jobs published in the last N days (0-100). Empty = any date.

## `offerType` (type: `string`):

Type of listing.

## `workTime` (type: `array`):

Filter by working time (any of).

## `contractType` (type: `array`):

Temporary and/or permanent contracts.

## `employer` (type: `string`):

Only jobs from this employer, e.g. "Deutsche Bahn AG".

## `occupationField` (type: `string`):

Official occupational field in German, e.g. "Informatik", "Pflege", "Elektrotechnik".

## `excludeTemporaryAgencies` (type: `boolean`):

Hide jobs from temporary staffing agencies.

## `excludePrivateRecruiters` (type: `boolean`):

Hide jobs posted by private placement agencies.

## `disabilityFriendlyOnly` (type: `boolean`):

Only jobs explicitly open to people with disabilities.

## `onlyWithSalary` (type: `boolean`):

Keep only listings that publish a salary range.

## `minAnnualSalary` (type: `integer`):

Keep only jobs whose published salary (annualised; hourly x 1720, monthly x 12) reaches this amount. Jobs without salary are dropped.

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

Fetch the full job description text (one extra request per job, priced as 'job-details').

## `redactContactData` (type: `boolean`):

Strips personal contact data (e-mail addresses, phone numbers) from description text. Recommended.

## `onlyNewJobs` (type: `boolean`):

Remember jobs already returned for this exact search and output only new ones. Ideal with a daily schedule.

## `monitorId` (type: `string`):

Name for the new-jobs memory. Use it to keep the same memory when you change other inputs.

## Actor input object example

```json
{
  "keywords": [
    "Data Engineer"
  ],
  "location": "Berlin",
  "radiusKm": 25,
  "maxItems": 100,
  "excludeTemporaryAgencies": false,
  "excludePrivateRecruiters": false,
  "disabilityFriendlyOnly": false,
  "onlyWithSalary": false,
  "includeDescription": false,
  "redactContactData": true,
  "onlyNewJobs": false
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `jobs` (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": [
        "Data Engineer"
    ],
    "location": "Berlin"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jet_mythology/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 = {
    "keywords": ["Data Engineer"],
    "location": "Berlin",
}

# Run the Actor and wait for it to finish
run = client.actor("jet_mythology/arbeitsagentur-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": [
    "Data Engineer"
  ],
  "location": "Berlin"
}' |
apify call jet_mythology/arbeitsagentur-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jet_mythology/arbeitsagentur-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/YPB0j9dQGjb3OXcdn/builds/DU5IAcfUeTIVLn2Ae/openapi.json