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Autoscout24 Scraper

A powerful scraper to collect detailed car listings from AutoScout24 across multiple European countries. It extracts structured data such as prices, features, dealer details, and more — ideal for research, analytics, and market insights.

Built to automate large-scale car data collection for automotive businesses, analysts, and developers.

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Introduction

The Autoscout24 Scraper helps you extract vehicle listings and metadata from AutoScout24 effortlessly. It gathers complete car profiles — including specifications, seller info, and pricing — so you can analyze trends or build datasets.

Why Use Autoscout24 Scraper?

  • Automates scraping across multiple AutoScout24 domains.
  • Collects thousands of listings in a single run.
  • Extracts clean and structured JSON/CSV data for analysis.
  • Works with built-in proxy handling — no manual setup needed.
  • Ideal for dealerships, data researchers, and automotive startups.

Features

Feature Description
Multi-domain scraping Supports all major AutoScout24 European domains (.com, .de, .it, .fr, .es, etc.).
Rich vehicle data extraction Extracts details like make, model, price, mileage, transmission, and more.
Dealer and contact info Captures dealer names, contact numbers, and ratings.
Image collection Downloads image URLs of each car listing.
Configurable record limit Set maximum number of records to scrape using maxRecords.
Automatic proxy configuration Handles proxies automatically to prevent blocking.
Dataset export Output available in JSON, CSV, XML, RSS, and HTML Table formats.

What Data This Scraper Extracts

Field Name Field Description
title Title of the car listing.
url Direct link to the car listing.
mark Car brand name.
model Specific model of the vehicle.
modelVersion Trim or version details.
location Location of the seller or dealership.
dealerName Name of the car dealer.
dealerRatings Dealer’s rating count or score.
price Displayed price with currency.
rawPrice Numeric representation of the price.
currency Currency used (e.g., EUR).
milage Vehicle mileage.
gearbox Transmission type (Automatic, Manual, etc.).
firstRegistration First registration date.
fuelType Type of fuel (Diesel, Petrol, Electric).
power Engine power in kW and hp.
seller Type of seller (Dealer or Private).
contactName Name of the contact person.
contactPhone Contact phone number.
bodyType Vehicle body style (SUV, Sedan, etc.).
drivetrain Drive type (FWD, 4WD, etc.).
seats Number of seats.
engineSize Engine displacement in cc.
gears Number of gears.
emissionClass Emission category.
comfort List of comfort and convenience features.
media Media options (e.g., CD, radio).
safety Safety features included.
extras Extra packages or features.
colour Exterior color.
manufacturerColour Manufacturer-specific color name.
productionDate Year of production.
images Array of image URLs.

Example Output

[
    {
        "title": "Audi A6 3,0 TDI Competition Quattro tiptronic",
        "url": "https://www.autoscout24.com/offers/audi-a6-3-0-tdi-competition-quattro-tiptronic-diesel-grey-000f816d-f1cb-4cca-94f3-83530effb6ee",
        "mark": "Audi",
        "model": "A6",
        "price": "€ 31,980",
        "milage": "161,415 km",
        "fuelType": "Diesel",
        "gearbox": "Automatic",
        "dealerName": "KFZ Hödl GmbH",
        "dealerRatings": "1199 Ratings",
        "location": "Kainbach bei Graz, AT",
        "power": "240 kW (326 hp)",
        "firstRegistration": "01/2016",
        "bodyType": "Sedan",
        "drivetrain": "4WD",
        "colour": "Grey",
        "emissionClass": "Euro 5"
    }
]

Directory Structure Tree

Autoscout24 Scraper/
├── src/
│   ├── main.py
│   ├── utils/
│   │   ├── parser.py
│   │   ├── proxy_manager.py
│   │   └── data_cleaner.py
│   ├── extractors/
│   │   ├── listing_extractor.py
│   │   └── dealer_extractor.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   ├── sample_output.json
│   └── test_urls.txt
├── requirements.txt
├── LICENSE
└── README.md

Use Cases

  • Car dealers use it to monitor competitor listings and pricing strategies.
  • Market analysts collect structured car data for regional or brand-based analysis.
  • Data scientists use it for training models in car price prediction or valuation.
  • Developers integrate it into vehicle aggregator apps for real-time updates.
  • Researchers analyze automotive market trends and consumer patterns.

FAQs

Q1: Which AutoScout24 domains are supported?
Currently supports .com, .de, .it, .nl, .fr, .es, .at, and .be.

Q2: Can it scrape single car detail pages?
Yes, it supports both search result pages and individual listing URLs.

Q3: Is proxy configuration needed?
No manual setup required — proxies are configured automatically.

Q4: What’s the default record limit?
The default maxRecords is set to 300, but it can be adjusted in configuration.


Performance Benchmarks and Results

Primary Metric: Scrapes up to 300 listings in under 2 minutes on average.
Reliability Metric: Maintains over 98% success rate with automatic retry handling.
Efficiency Metric: Optimized network requests with parallel scraping to reduce latency.
Quality Metric: Extracted data completeness exceeds 95%, ensuring high-quality datasets for analytics.

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