Mobile.de Vehicle Scraper

Extract vehicle listing data from Mobile.de search result pages at scale. Collect core listing details like title, make, model, price, mileage, seller info, and listing URLs in a clean dataset. Built for research, monitoring, lead generation, and market analysis workflows.

Features

• Search URL support - Start directly from a prepared Mobile.de search URL.
• Keyword-based search - Build a search from keyword when no start URL is provided.
• Pagination handling - Automatically collects across multiple result pages.
• Clean output records - Removes null and empty values from dataset items.
• Rich listing details - Includes pricing, specs, seller profile, full image URL list, and metadata.

Use Cases

Market Price Tracking

Monitor asking prices over time for specific brands, models, and trims. Build historical datasets for pricing trends and valuation benchmarks.

Deal Discovery

Find listings with target criteria such as mileage, fuel type, or seller type. Use structured outputs to filter and rank opportunities quickly.

Competitor Monitoring

Track inventory and offer positioning across dealers and private sellers. Compare listing quality, pricing, and changes across pages.

Automotive Research

Create datasets for analytics, dashboards, and reporting pipelines. Export clean records ready for BI tools and custom workflows.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Mobile.de BMW search URL	Mobile.de search URL to scrape directly.
keyword	String	No	"bmw"	Search keyword used when startUrl is not provided.
results_wanted	Integer	No	20	Maximum number of listings to collect.
max_pages	Integer	No	3	Maximum number of pages to process.
proxyConfiguration	Object	No	{"useApifyProxy": true}	Proxy setup for improved reliability.

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Output Data

Each dataset item contains listing details such as:

Field	Type	Description
listing_id	Number	Unique listing identifier.
title	String	Full listing title.
make	String	Vehicle make.
model	String	Vehicle model.
price_eur	Number	Numeric gross price in EUR.
first_registration	String	First registration value.
mileage_km	Number	Parsed mileage value.
power_ps	Number	Engine power in PS.
fuel_type	String	Fuel type.
transmission	String	Transmission type.
seller_name	String	Seller display name.
seller_type	String	Seller category.
seller_rating_score	Number	Seller rating score.
collected_images_count	Number	Number of image URLs collected from search payload.
images_count	Number	Number of images announced for the listing.
image_url	String	Primary image URL.
image_urls	Array	All collected image URLs for the listing.
city	String	Listing location city.
url	String	Detail page URL.
page_number	Number	Result page where listing was found.
fetched_at	String	Extraction timestamp.

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Usage Examples

Basic Run With Start URL

{
    "startUrl": "https://suchen.mobile.de/fahrzeuge/search.html?dam=false&isSearchRequest=true&ms=3500%3B%3B%3B&ref=homeAISearch&s=Car&userInput=bmw&vc=Car",
    "results_wanted": 20,
    "max_pages": 3
}

Keyword-Based Collection

{
    "keyword": "bmw",
    "results_wanted": 50,
    "max_pages": 5
}

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Sample Output

{
    "listing_id": 449843092,
    "title": "BMW M850 8 Coupe M850 i xDrive",
    "make": "BMW",
    "model": "M850",
    "category": "Sportwagen/Coupe",
    "vehicle_type": "topAd",
    "price_eur": 63611,
    "first_registration": "01/2019",
    "mileage_km": 57211,
    "power_ps": 530,
    "fuel_type": "Benzin",
    "transmission": "Automatik",
    "seller_name": "BMW AG Niederlassung Saar-Pfalz",
    "seller_type": "DEALER",
    "seller_rating_score": 4.8,
    "collected_images_count": 16,
    "images_count": 50,
    "image_url": "https://img.classistatic.de/api/v1/mo-prod/images/a1/a1111111-1111-1111-1111-111111111111?rule=mo-160w",
    "image_urls": [
        "https://img.classistatic.de/api/v1/mo-prod/images/a1/a1111111-1111-1111-1111-111111111111?rule=mo-160w",
        "https://img.classistatic.de/api/v1/mo-prod/images/a1/a1111111-1111-1111-1111-111111111111?rule=mo-360w"
    ],
    "city": "Kirkel",
    "url": "https://suchen.mobile.de/fahrzeuge/details.html?id=449843092",
    "page_number": 1,
    "fetched_at": "2026-03-17T11:10:21.000Z"
}

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Tips for Best Results

Use Strong Search URLs

• Start from a tested search URL that already reflects your filters.
• Keep language and category parameters consistent across runs.

Control Run Size

• Start with results_wanted: 20 for quick checks.
• Increase page and result limits only after validating output quality.

Improve Stability

• Use proxy configuration for larger runs.
• Schedule smaller frequent runs instead of one very large collection.

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Integrations

Connect your data with:

• Google Sheets - Build quick reports and live tracking tables.
• Airtable - Create searchable listing databases.
• Make - Automate enrichment and notifications.
• Zapier - Trigger downstream actions from fresh listings.
• Webhooks - Send data to custom services and APIs.

Export Formats

• JSON - Best for developers and automation pipelines.
• CSV - Easy spreadsheet analysis.
• Excel - Business reporting and sharing.
• XML - Legacy system integration.

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Frequently Asked Questions

How many listings can I collect?

You can collect as many as available in search results, limited by your results_wanted and max_pages settings.

Can I scrape multiple brands?

Yes. Run separate searches per brand or pass different search URLs for each run.

Why are some fields missing in some items?

Not every listing provides every field. The actor keeps only values that exist for each record.

Does this support dealer and private listings?

Yes. Output includes seller information where available.

Can I run this on a schedule?

Yes. Use Apify scheduling to run hourly, daily, or weekly based on your monitoring needs.

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Support

For issues or feature requests, use your Apify actor issue workflow.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for lawful data collection and analysis. You are responsible for complying with website terms, local regulations, and applicable privacy laws. Use extracted data responsibly.