# Mobile.de Scraper — Germany (`rastriq/mobile-de-scraper`) Actor
Scrape vehicle listings from Mobile.de, Germany's largest automotive marketplace. Filter by make, model, year range, price, mileage and fuel type. Covers cars and heavy machinery.
- **URL**: https://apify.com/rastriq/mobile-de-scraper.md
- **Developed by:** [ScrappingLatam](https://apify.com/rastriq) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 1,000 results
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/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
## mobile.de Scraper — Vehicles & Heavy Machinery
Collect car, truck, construction machine, forklift, agricultural vehicle, and bus listings from mobile.de, Germany's largest vehicle and machinery marketplace.
### What you can do with it
- Track asking prices for vehicles and machinery across Germany and neighbouring markets
- Monitor used construction equipment supply and pricing in one of Europe's largest markets
- Compare dealer vs private-seller pricing for the same vehicle types
- Build a pricing benchmark for fleet valuation, insurance, or cross-border trading
- Enrich listings with full technical specs and seller details using the detail enrichment option
### Filters
| Filter | What it does |
|---|---|
| Vehicle Category | Choose the type of vehicle to collect: Car, Construction Machine, Truck, Semi-Trailer, Forklift, Agricultural Vehicle, Semi-Trailer Truck, or Bus |
| Make | Filter by brand (e.g. JCB, Caterpillar, BMW) — leave blank for all brands |
| Model | Narrow down to a specific model within a brand |
| Min Price / Max Price | Only return listings within a price range (EUR) |
| Min Year / Max Year | Only return listings within a year range |
| Max Pages | Limit how many pages of results to collect (up to 50) |
| Max Items | Set a cap on the total number of listings to collect |
| Fetch Details | Visit each listing page to collect full specs, description, and seller address — more thorough but slower |
### What you get
| Field | What it contains |
|---|---|
| ad_id | Unique listing identifier on mobile.de |
| title | Full listing headline |
| make | Brand name |
| model | Model name |
| year | Year of manufacture |
| price_clean | Asking price as a number |
| currency | Currency of the price (EUR) |
| hours_int | Operating hours (machinery) |
| km_int | Kilometres on the odometer (vehicles) |
| condition_std | Condition label (e.g. Used, New) |
| country_iso | Country code of the seller |
| location | Seller location |
| seller | Seller name |
| seller_type | Whether the seller is a dealer or private party |
| category | Vehicle category selected |
| subcategory | More specific type from the listing details |
| image_url | Link to the main listing photo |
| url | Direct link to the listing on mobile.de |
| scraped_at | Date and time the data was collected |
When **Fetch Details** is turned on, you also get:
| Field | What it contains |
|---|---|
| weight_kg | Vehicle or machine weight in kilograms |
| features | Full list of features and equipment options |
| description | Complete listing description text |
| seller_address | Dealer address (publicly shown dealers only) |
| seller_rating | Dealer rating score where available |
### Pricing
**$8.00 per 1,000 results. First 500 results free.**
Note: running with Fetch Details enabled takes longer and uses more resources — plan for roughly twice the runtime compared to a standard run.
### Legal
This scraper collects publicly available listing data only. No private seller phone numbers or personal contact details are extracted. Use responsibly and for market research purposes. Not affiliated with mobile.de.
# Actor input Schema
## `vehicleCategory` (type: `string`):
Select the type of vehicle to search for.
## `make` (type: `string`):
Manufacturer or brand. Example: BMW, Mercedes-Benz, Caterpillar, Volvo. Leave empty for all.
## `model` (type: `string`):
Specific model. Example: 3 Series, 320d. Leave empty for all models.
## `minPrice` (type: `integer`):
Minimum price in euros.
## `maxPrice` (type: `integer`):
Maximum price in euros.
## `minYear` (type: `integer`):
Earliest registration year.
## `maxYear` (type: `integer`):
Latest registration year.
## `fetchDetails` (type: `boolean`):
Opens each listing page to extract full specs, description and all images.
⚠️ Much slower — use only when you need complete data.
## `maxItems` (type: `integer`):
Maximum number of listings to collect. Each listing = one row in your dataset.
💡 Use 50–200 for a quick test.
## `maxPages` (type: `integer`):
Number of results pages to go through. Each page typically has 20–40 listings.
## `proxyConfiguration` (type: `object`):
Residential proxy is strongly recommended — without it the site may block the scraper.
## Actor input object example
```json
{
"vehicleCategory": "Car",
"make": "BMW",
"minPrice": 5000,
"maxPrice": 30000,
"minYear": 2018,
"fetchDetails": false,
"maxItems": 100,
"maxPages": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
````
# Actor output Schema
## `results` (type: `string`):
Dataset containing all scraped listings
# 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 = {
"vehicleCategory": "ConstructionMachine",
"make": "",
"maxPrice": 30000,
"maxItems": 100,
"maxPages": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("rastriq/mobile-de-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"vehicleCategory": "ConstructionMachine",
"make": "",
"maxPrice": 30000,
"maxItems": 100,
"maxPages": 5,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
# Run the Actor and wait for it to finish
run = client.actor("rastriq/mobile-de-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 '{
"vehicleCategory": "ConstructionMachine",
"make": "",
"maxPrice": 30000,
"maxItems": 100,
"maxPages": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call rastriq/mobile-de-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=rastriq/mobile-de-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Mobile.de Scraper — Germany",
"description": "Scrape vehicle listings from Mobile.de, Germany's largest automotive marketplace. Filter by make, model, year range, price, mileage and fuel type. Covers cars and heavy machinery.",
"version": "0.1",
"x-build-id": "Ns2z67egyN5jfB7IZ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/rastriq~mobile-de-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-rastriq-mobile-de-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/rastriq~mobile-de-scraper/runs": {
"post": {
"operationId": "runs-sync-rastriq-mobile-de-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/rastriq~mobile-de-scraper/run-sync": {
"post": {
"operationId": "run-sync-rastriq-mobile-de-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"vehicleCategory": {
"title": "🚗 Vehicle type",
"enum": [
"Car",
"ConstructionMachine",
"Truck",
"SemiTrailer",
"Forklift",
"AgriculturalVehicle",
"SemiTrailerTruck",
"Bus"
],
"type": "string",
"description": "Select the type of vehicle to search for.",
"default": "ConstructionMachine"
},
"make": {
"title": "🏷️ Make (brand)",
"type": "string",
"description": "Manufacturer or brand. Example: BMW, Mercedes-Benz, Caterpillar, Volvo. Leave empty for all."
},
"model": {
"title": "🔍 Model",
"type": "string",
"description": "Specific model. Example: 3 Series, 320d. Leave empty for all models."
},
"minPrice": {
"title": "💶 Min price (€)",
"minimum": 0,
"type": "integer",
"description": "Minimum price in euros."
},
"maxPrice": {
"title": "💶 Max price (€)",
"minimum": 0,
"type": "integer",
"description": "Maximum price in euros."
},
"minYear": {
"title": "📅 Min year",
"minimum": 1990,
"maximum": 2026,
"type": "integer",
"description": "Earliest registration year."
},
"maxYear": {
"title": "📅 Max year",
"minimum": 1990,
"maximum": 2026,
"type": "integer",
"description": "Latest registration year."
},
"fetchDetails": {
"title": "📋 Fetch full listing details",
"type": "boolean",
"description": "Opens each listing page to extract full specs, description and all images.
⚠️ Much slower — use only when you need complete data.",
"default": false
},
"maxItems": {
"title": "💯 Max results",
"minimum": 1,
"maximum": 50000,
"type": "integer",
"description": "Maximum number of listings to collect. Each listing = one row in your dataset.
💡 Use 50–200 for a quick test.",
"default": 100
},
"maxPages": {
"title": "📄 Max pages to scrape",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Number of results pages to go through. Each page typically has 20–40 listings.",
"default": 5
},
"proxyConfiguration": {
"title": "🔌 Proxy",
"type": "object",
"description": "Residential proxy is strongly recommended — without it the site may block the scraper."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```