Autoscout24 Germany / Deutschland - Scraper

A production-ready Autoscout24 scraper focused on Germany, built to collect fresh vehicle listings with rich pricing, technical, seller, and leasing data. It helps analysts, developers, and data teams turn fragmented car listings into clean, structured datasets for decision-making and market insights.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project extracts detailed vehicle listing data from Autoscout24 across Germany in a consistent, machine-readable format. It solves the problem of manually tracking prices, specifications, and leasing conditions by automating collection at scale. It’s designed for developers, data analysts, and businesses working with automotive market data.

Why this scraper exists

• Aggregates listings from all regions in Germany using flexible search logic
• Normalizes inconsistent vehicle and seller data into a single schema
• Supports both price-focused and leasing-focused analysis
• Designed for repeatable, large-scale data collection

Features

Feature	Description
Full vehicle coverage	Captures brand, model, mileage, fuel type, transmission, and body type.
Pricing intelligence	Extracts price values and price ratings when available.
Leasing details	Collects monthly rate, total cost, contract type, mileage limits, and one-time fees.
Seller profiling	Distinguishes dealer vs private sellers with address and location data.
Geo-enrichment	Includes latitude, longitude, and map links for spatial analysis.
Smart filtering	Filter by brand, postal code, price range, or custom search URLs.
Clean exports	Outputs structured JSON or CSV ready for analytics pipelines.

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What Data This Scraper Extracts

Field Name	Field Description
brand	Vehicle brand name.
manufacturer	Manufacturer as listed in the offer.
model	Vehicle model or variant.
price	Listed sale price in EUR.
price_rating	Platform-provided price evaluation label.
mileage_km	Vehicle mileage in kilometers.
first_registration	First registration date.
fuel	Fuel type (diesel, petrol, electric, etc.).
transmission	Transmission type.
body_type	Vehicle body category.
doors	Number of doors.
seats	Number of seats.
exterior_color	Exterior color of the vehicle.
seller_type	Dealer or private seller.
address	Seller address text.
maps_link	Direct map link for seller location.
latitude	Latitude coordinate.
longitude	Longitude coordinate.
leasing_monthly	Monthly leasing rate, if available.
leasing_total	Total leasing amount over contract duration.
leasing_contract_type	Leasing contract category.
leasing_mileage	Included mileage allowance.
down_payment	Initial leasing payment.
total_one_time_costs	Sum of all one-time leasing costs.
listing_url	Direct URL to the vehicle listing.
scraped_date	Timestamp when the listing was collected.

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Example Output

[
  {
    "brand": "Ford",
    "model": "B-Max",
    "price": 7199,
    "price_rating": "Sehr guter Preis",
    "mileage_km": 106110,
    "first_registration": "2017-09-01",
    "fuel": "Benzin",
    "transmission": "Schaltgetriebe",
    "body_type": "Van/Kleinbus",
    "seller_type": "Händler",
    "latitude": 49.4542094,
    "longitude": 12.4095743,
    "listing_url": "https://www.autoscout24.de/...",
    "scraped_date": "2025-07-12 10:36:20"
  }
]

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Directory Structure Tree

Autoscout24 Germany / Deutschland - Scraper/
├── src/
│   ├── main.py
│   ├── url_builder.py
│   ├── list_fetcher.py
│   ├── detail_parser.py
│   ├── leasing_parser.py
│   ├── seller_parser.py
│   ├── deduplicator.py
│   └── exporters/
│       ├── json_exporter.py
│       └── csv_exporter.py
├── config/
│   ├── settings.example.json
│   └── filters.schema.json
├── data/
│   ├── samples/
│   │   └── sample_output.json
│   └── logs/
├── requirements.txt
└── README.md

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Use Cases

• Market analysts use it to track vehicle prices by region, so they can identify pricing trends and anomalies.
• Automotive dealers use it to monitor competitor listings, so they can adjust pricing strategies faster.
• Data teams use it to build dashboards, so stakeholders get real-time visibility into the car market.
• Leasing consultants use it to compare leasing conditions, so they can recommend cost-effective offers.

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FAQs

Does this scraper support all brands on Autoscout24 Germany? Yes. You can target a specific brand or leave the brand filter empty to collect listings across all manufacturers.

Can I limit results to a specific city or postal code? Yes. Location filtering supports postal codes as well as postal-code–city combinations for more precise targeting.

Is leasing data always available for every listing? No. Leasing fields are populated only when the listing provides leasing information. Missing values are handled gracefully.

How are duplicate listings handled? Listings are deduplicated using a hash-based approach derived from stable listing attributes and URLs.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 35–45 vehicle listings per minute, depending on filter complexity.

Reliability Metric: Maintains a successful extraction rate above 98% across large multi-page runs.

Efficiency Metric: Optimized batching and async requests keep memory usage stable under long scraping sessions.

Quality Metric: Captures over 95% of available listing fields when present, with consistent schema alignment across outputs.

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