# Ausbildung.de Scraper - Preiswert Low-cost ๐ฒ๐ด๐ฉ๐ช๐จโ๐ซ (`delectable_incubator/ausbildung-de-scraper---preiswert-low-cost`) Actor
Explore apprenticeship listings in Germany with the Ausbildung Scraper ๐ฉ๐ช๐
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 ๐
- **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:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
---
### Ausbildung.de Scraper | PrimeScrape ๐จโ๐ซ๐ 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 Germanyโs largest career & training platforms.
Perfect for HR analytics, recruitment intelligence, education datasets & B2B lead generation ๐๐
---
### ๐ฉ๐ช Ausbildung.de Scraper | PrimeScrape
Extrahieren Sie strukturierte Ausbildungs- und Berufsbildungsdaten aus Ausbildung.de, einer der grรถรten Plattformen fรผr Ausbildungsstellen in Deutschland.
Ideal fรผr Recruiting, Talent Intelligence, HR Analytics und Ausbildungsmarkt-Research ๐ฉ๐ช๐
---
### ๐ What This Scraper Does
This scraper automatically extracts apprenticeship listings from:
๐ https://www.ausbildung.de
It supports search by:
Keyword (e.g. Abiturientenprogramm, Ausbildung, Studium)
City / location
Distance radius
Sorting (Relevance / Latest)
It automatically:
โ Handles pagination
โ Extracts structured job data
โ Normalizes company & education fields
โ Delivers clean JSON datasets ready for use
---
### ๐ Key Features
โ Full Ausbildung.de coverage ๐ฉ๐ช
โ Apprenticeship & vocational training focus
โ Smart search filters (keyword, city, radius)
โ High-quality structured dataset output
โ Fast, scalable scraping engine โก
โ CRM / HR / AI-ready data format
---
### ๐ Data Extracted
๐ข Corporation Name
๐ Vacancy Public ID
๐ SEO Slug
๐ Apprenticeship Title
๐ Vacancy Count
๐ Location
๐๏ธ Start Date
๐ผ๏ธ Company Logo
โ
Direct Application Availability
๐งฉ Subsidiary Name
๐จโ๐ผ Profession Type
๐ป Application Mode
๐ Required Education Level
๐ ๏ธ Apprenticeship Type
โณ Duration
---
### ๐ฅ 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 |
---
### ๐ค 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"
}
````
---
### ๐ Use Cases
๐ฏ Recruitment & Talent Intelligence
๐ HR Market Analysis (Germany)
๐ข Employer Research & Benchmarking
๐ Regional Apprenticeship Mapping
๐ค AI / ML Training Datasets
๐ Education Market Insights
---
### โ๏ธ Why Use This Scraper?
๐ Access Germanyโs largest apprenticeship database
๐ Build structured recruitment datasets
๐ Improve HR sourcing workflows
๐ Analyze education & training trends
๐ Scale lead generation for training providers
---
### ๐ฉ๐ช Supported Search Types
โ Apprenticeships (Ausbildung)
โ Abiturientenprogramme
โ Dual study programs (Duales Studium)
โ Vocational training
โ Company training programs
โ Location-based filtering
---
### โ ๏ธ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Ausbildung.de.
---
### ๐ธ Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
๐ณ **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 ๐ฉ๐ช๐ช๐บ
(Coming soon)
---
### ๐ฌ Support
โญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keyword` (type: `string`):
Enter a keyword/Stichwort to search for apprenticeship listings. / Gib ein Stichwort fรผr die Suche nach Ausbildungsstellen ein.
## `place` (type: `string`):
Specify the city/Stadt where you want to search. / Gib die Stadt an, in der du suchen mรถchtest.
## `sort_by` (type: `string`):
Choose how to sort the apprenticeship listings. / Wรคhle, wie die Ergebnisse sortiert werden sollen.
## `rayon` (type: `string`):
Choose the search radius for apprenticeship listings. / Wรคhle den Suchradius fรผr Ausbildungsstellen.
## `maxitems` (type: `integer`):
Set the maximum number of apprenticeship listings to scrape. / Lege die maximale Anzahl der zu scrapenden Ausbildungsstellen fest.
## Actor input object example
```json
{
"keyword": "Maschinen- und Anlagenfรผhrer/in",
"place": "Berlin",
"sort_by": "Relevance",
"rayon": "1000 km",
"maxitems": 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keyword": "Maschinen- und Anlagenfรผhrer/in",
"place": "Berlin",
"sort_by": "Relevance",
"rayon": "1000 km",
"maxitems": 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(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keyword": "Maschinen- und Anlagenfรผhrer/in",
"place": "Berlin",
"sort_by": "Relevance",
"rayon": "1000 km",
"maxitems": 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("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keyword": "Maschinen- und Anlagenfรผhrer/in",
"place": "Berlin",
"sort_by": "Relevance",
"rayon": "1000 km",
"maxitems": 100
}' |
apify call delectable_incubator/ausbildung-de-scraper---preiswert-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/ausbildung-de-scraper---preiswert-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Ausbildung.de Scraper - Preiswert Low-cost ๐ฒ๐ด๐ฉ๐ช๐จโ๐ซ",
"description": "Explore apprenticeship listings in Germany with the Ausbildung Scraper ๐ฉ๐ช๐\n\nExtract training titles, companies, locations, start dates, duration, requirements, and education details.\n\nPerfect for students, recruiters, and education analytics. Build fast, structured datasets for market insights ๐",
"version": "0.0",
"x-build-id": "oGa2VJednkGqH7cu6"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~ausbildung-de-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-ausbildung-de-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~ausbildung-de-scraper---preiswert-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-ausbildung-de-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~ausbildung-de-scraper---preiswert-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-ausbildung-de-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"keyword"
],
"properties": {
"keyword": {
"title": "Keyword/Stichwort ๐ / Keyword/Stichwort ๐",
"type": "string",
"description": "Enter a keyword/Stichwort to search for apprenticeship listings. / Gib ein Stichwort fรผr die Suche nach Ausbildungsstellen ein.",
"default": "Maschinen- und Anlagenfรผhrer/in"
},
"place": {
"title": "City/Stadt ๐๏ธ / City/Stadt ๐๏ธ",
"type": "string",
"description": "Specify the city/Stadt where you want to search. / Gib die Stadt an, in der du suchen mรถchtest.",
"default": "Berlin"
},
"sort_by": {
"title": "Sort by / Sortierung ๐
",
"enum": [
"Relevance",
"Latest publication",
"Latest edited",
"Entry date",
"Distance"
],
"type": "string",
"description": "Choose how to sort the apprenticeship listings. / Wรคhle, wie die Ergebnisse sortiert werden sollen.",
"default": "Relevance"
},
"rayon": {
"title": "Radius ๐ / Radius ๐",
"enum": [
"5 km",
"10 km",
"25 km",
"50 km",
"200 km",
"500 km",
"1000 km"
],
"type": "string",
"description": "Choose the search radius for apprenticeship listings. / Wรคhle den Suchradius fรผr Ausbildungsstellen.",
"default": "1000 km"
},
"maxitems": {
"title": "Maximum number ๐ / Maximale Anzahl ๐",
"type": "integer",
"description": "Set the maximum number of apprenticeship listings to scrape. / Lege die maximale Anzahl der zu scrapenden Ausbildungsstellen fest.",
"default": 100
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```