# Ausbildung.de Scraper - Preiswert Low-cost 💲🔴🇩🇪👨‍🏫 (`delectable_incubator/ausbildung-de-scraper-preiswert-low-cost`) Actor

Explore apprenticeship listings in Germany with the Ausbildung Scraper 🇩🇪🎓

Extract training titles, companies, locations, start dates, duration, requirements, and education details.

Perfect for students, recruiters, and education analytics. Build fast, structured datasets for market insights 📊

- **URL**: https://apify.com/delectable\_incubator/ausbildung-de-scraper-preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Developer tools, Lead generation
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Ausbildung.de Scraper - Germany Apprenticeship Data" width="100%"> </p>

***

### Ausbildung.de Scraper | PrimeScrape 👨‍🏫🔍 Scale Apprenticeship Data in Germany

Extract structured apprenticeship, vocational training & Abiturientenprogramm listings from Ausbildung.de at scale.

This Apify Actor collects clean, structured data from one of Germany’s largest career & training platforms.

Perfect for HR analytics, recruitment intelligence, education datasets & B2B lead generation 📊🚀

***

### 🇩🇪 Ausbildung.de Scraper | PrimeScrape

Extrahieren Sie strukturierte Ausbildungs- und Berufsbildungsdaten aus Ausbildung.de, einer der größten Plattformen für Ausbildungsstellen in Deutschland.

Ideal für Recruiting, Talent Intelligence, HR Analytics und Ausbildungsmarkt-Research 🇩🇪📚

***

### 🌍 What This Scraper Does

This scraper automatically extracts apprenticeship listings from:

👉 https://www.ausbildung.de

It supports search by:

Keyword (e.g. Abiturientenprogramm, Ausbildung, Studium)
City / location
Distance radius
Sorting (Relevance / Latest)

It automatically:

✔ Handles pagination

✔ Extracts structured job data

✔ Normalizes company & education fields

✔ Delivers clean JSON datasets ready for use

***

### 🚀 Key Features

✔ Full Ausbildung.de coverage 🇩🇪

✔ Apprenticeship & vocational training focus

✔ Smart search filters (keyword, city, radius)

✔ High-quality structured dataset output

✔ Fast, scalable scraping engine ⚡

✔ CRM / HR / AI-ready data format

***

### 📊 Data Extracted

🏢 Corporation Name
🆔 Vacancy Public ID
🐌 SEO Slug
🎓 Apprenticeship Title
📊 Vacancy Count
📍 Location
🗓️ Start Date
🖼️ Company Logo
✅ Direct Application Availability
🧩 Subsidiary Name
👨‍💼 Profession Type
💻 Application Mode
🎓 Required Education Level
🛠️ Apprenticeship Type
⏳ Duration

***

### 📥 Input Example

```
{
  "keyword": "Abiturientenprogramm",
  "place": "Berlin",
  "sort_by": "Relevance",
  "rayon": "1000 km",
  "maxitems": 50
}
```

| Field    | Type   | Description                         |
| -------- | ------ | ----------------------------------- |
| keyword  | string | Search term (required)              |
| place    | string | City filter                         |
| sort\_by  | string | Relevance / Latest publication      |
| rayon    | string | Search radius (e.g. 50 km, 1000 km) |
| maxitems | number | Max results to scrape               |

***

### 📤 Output Example

```
{
  "corporationName": "Deutsche Bahn AG",
  "vacancyPublicId": "e370735d-b8bc-42f1-90d4-7f214a1dd25d",
  "slug": "ausbildungsvorbereitung-chance-plus-service-im-zug",
  "title": "Ausbildungsvorbereitung Chance plus Service im Zug (w/m/d)",
  "vacancyCount": "10",
  "location": "Berlin",
  "startsNoEarlierThan": "2025-09-01",
  "corporationLogo": "https://www.ausbildung.de/logo.png",
  "directApplicationOn": false,
  "subsidiaryName": "Deutsche Bahn AG",
  "professionTitle": "Abiturientenprogramm",
  "applicationOptions": "online",
  "expectedGraduation": "hauptschulabschluss",
  "apprenticeshipType": "abiturientenprogramm",
  "duration": "3 Jahre"
}
```

***

### 🌐 Use Cases

🎯 Recruitment & Talent Intelligence

📊 HR Market Analysis (Germany)

🏢 Employer Research & Benchmarking

📍 Regional Apprenticeship Mapping

🤖 AI / ML Training Datasets

📚 Education Market Insights

***

### ⚙️ Why Use This Scraper?

📌 Access Germany’s largest apprenticeship database

📌 Build structured recruitment datasets

📌 Improve HR sourcing workflows

📌 Analyze education & training trends

📌 Scale lead generation for training providers

***

### 🇩🇪 Supported Search Types

✔ Apprenticeships (Ausbildung)

✔ Abiturientenprogramme

✔ Dual study programs (Duales Studium)

✔ Vocational training

✔ Company training programs

✔ Location-based filtering

***

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Ausbildung.de.

***

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $4.99 / 1000 results

***

### Related Actors

If you're interested in **other german** (trade fair / messe) data scraping solutions, explore more exhibitor & trade fair scrapers across Europe 🇩🇪🇪🇺

(Coming soon)

***

### 📬 Support

⭐ Leave a 5-star rating if you like this tool

***

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

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

List of keywords/Stichwörter to search for apprenticeship listings. Each keyword is scraped separately, with its own job limit (see maxitems\_per\_keyword). / Liste der Stichwörter für die Suche nach Ausbildungsstellen. Jedes Stichwort wird separat gescraped, mit einem eigenen Limit (siehe maxitems\_per\_keyword).

## `place` (type: `string`):

Specify the city/Stadt where you want to search. / Gib die Stadt an, in der du suchen möchtest.

## `sort_by` (type: `string`):

Choose how to sort the apprenticeship listings. / Wähle, wie die Ergebnisse sortiert werden sollen.

## `rayon` (type: `string`):

Choose the search radius for apprenticeship listings. / Wähle den Suchradius für Ausbildungsstellen.

## `maxitems_per_keyword` (type: `integer`):

Set the maximum number of apprenticeship listings to scrape per keyword. / Lege die maximale Anzahl der zu scrapenden Ausbildungsstellen pro Stichwort fest.

## Actor input object example

```json
{
  "keywords": [
    "Maschinen- und Anlagenführer/in"
  ],
  "place": "Berlin",
  "sort_by": "Relevance",
  "rayon": "1000 km",
  "maxitems_per_keyword": 100
}
```

# 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": [
        "Maschinen- und Anlagenführer/in"
    ],
    "place": "Berlin",
    "sort_by": "Relevance",
    "rayon": "1000 km",
    "maxitems_per_keyword": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/ausbildung-de-scraper-preiswert-low-cost").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": ["Maschinen- und Anlagenführer/in"],
    "place": "Berlin",
    "sort_by": "Relevance",
    "rayon": "1000 km",
    "maxitems_per_keyword": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/ausbildung-de-scraper-preiswert-low-cost").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": [
    "Maschinen- und Anlagenführer/in"
  ],
  "place": "Berlin",
  "sort_by": "Relevance",
  "rayon": "1000 km",
  "maxitems_per_keyword": 100
}' |
apify call delectable_incubator/ausbildung-de-scraper-preiswert-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/ausbildung-de-scraper-preiswert-low-cost"
        }
    }
}

```

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/Rs9ULPHSCzLnUA53S/builds/9oQGjAIbOsagzl0rB/openapi.json
