We extract vehicle listings, pricing signals, dealer intelligence, and technical specifications from AutoScout24. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Vehicle Details objects from autoscout24.com. All fields typed and schema-versioned.
"listing_id": "8a9b2c3d-4e5f-6g7h", "make": "Volkswagen", "model": "Golf", "version": "2.0 TSI GTI DSG", "body_type": "Compact", "doors": 5, "seats": 5, "exterior_colour": "Black", "vehicle_type": "Used"
| # | listing_id | make | model | version | body_type | doors |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Condition objects from autoscout24.com. All fields typed and schema-versioned.
"listing_id": "8a9b2c3d-4e5f-6g7h", "price": 28500.0, "currency": "EUR", "price_rating": "Good price", "mileage_km": 42500, "first_registration": "2021-05", "condition": "Accident-free", "previous_owners": 1
| # | listing_id | price | currency | price_rating | mileage_km | first_registration |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specs objects from autoscout24.com. All fields typed and schema-versioned.
"listing_id": "8a9b2c3d-4e5f-6g7h", "power_kw": 180, "power_hp": 245, "engine_size_cc": 1984, "gearing_type": "Automatic", "gears": 7, "fuel_type": "Gasoline", "empty_weight_kg": 1448
| # | listing_id | power_kw | power_hp | engine_size_cc | gearing_type | gears |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dealer & Seller Data objects from autoscout24.com. All fields typed and schema-versioned.
"seller_type": "Dealer", "dealer_name": "Autohaus München GmbH", "dealer_rating": 4.6, "review_count": 128, "city": "Munich", "country": "Germany", "zip_code": "80331", "inventory_size": 45
| # | seller_type | dealer_id | dealer_name | dealer_rating | review_count | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Environment & Features objects from autoscout24.com. All fields typed and schema-versioned.
"listing_id": "8a9b2c3d-4e5f-6g7h", "co2_emissions_g_km": 149, "emission_class": "Euro 6d", "fuel_consumption_comb": 6.5, "features_list": "['Bluetooth', 'Navigation system', 'Seat heating', 'Sport seats']", "headlights": "LED", "parking_sensors": "Front, Rear, Camera"
| # | listing_id | co2_emissions_g_km | emission_class | fuel_consumption_comb | fuel_consumption_city | fuel_consumption_hwy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our AutoScout24 scraper handles every layer of the platform: vehicle listings, dynamic pricing, dealer intelligence, and technical specifications, with JavaScript rendering, session management, and anti-bot circumvention built in.
Make, model, variant, mileage, registration year, body type, and colour extracted systematically across the entire catalogue.
Capture listing price, currency, and AutoScout24 price ratings to monitor market valuation trends over time.
Engine displacement, power output, transmission type, drivetrain, and weight specifications extracted for every vehicle.
Dealer name, location, inventory size, rating, and review counts for professional sellers across the platform.
Standard and optional features parsed into structured arrays, covering everything from parking sensors to upholstery materials.
Extract data from autoscout24.de, .it, .es, .fr, .nl, and other European domains using a unified, normalised schema.
Capture high-resolution exterior and interior gallery URLs for computer vision modelling or marketplace syndication.
Previous owners, accident history, full service history flags, and warranty duration captured from listing details.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide search URLs, make/model lists, or geographic regions. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for autoscout24.com.
Schema validation, null-rate checks, price-outlier detection, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
AutoScout24 employs strict rate limits and bot protection. Here is how we stay resilient and deliver consistent data.
AutoScout24 restricts access heavily based on geographic location and request volume. Our crawlers use residential ISP proxies localised to target European markets, paired with realistic browser fingerprints to maintain high success rates.
Crucial data points, including dealer phone numbers and interactive price history charts, require JavaScript execution. We run full Playwright browser sessions to trigger lazy-loaded elements and capture data hidden from standard HTTP clients.
Vehicle specification layouts vary significantly between passenger cars, motorcycles, and commercial vehicles. Our extraction logic uses dynamic mapping and fallback selectors to ensure data is normalised regardless of the vehicle category.
For tracking national inventories, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes for critical fields like price or mileage, ensuring schema drift is caught and patched immediately.
Automotive valuation firms track listing prices against mileage and age to build accurate residual value models.
Dealership groups monitor competitor stock levels, pricing strategies, and days-on-market metrics across specific regions.
Analysts track the adoption of electric vehicles, average CO2 emissions, and brand market share shifts across European countries.
Actuaries correlate vehicle specifications, safety features, and performance metrics with risk profiles to refine premium pricing.
Machine learning teams use comprehensive vehicle specification datasets to train price prediction models and recommendation engines.
Vehicle exporters identify price discrepancies for specific makes and models between different European markets.
"AutoScout24 holds the definitive pulse of the European automotive market, but extracting structured data across multiple countries requires serious infrastructure."
Most teams underestimate the investment required: reliable AutoScout24 scraping requires residential proxies localised to European markets, full JavaScript rendering for contact details, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our autoscout24.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across target European regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About autoscout24.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and dealer information is generally permissible under applicable European laws, provided it does not extract personal data (GDPR) or circumvent authentication walls. DataFlirt targets only public, non-authenticated data. Clients should review AutoScout24 ToS and consult legal counsel for specific use cases.
We use Playwright to simulate human interaction, clicking the 'reveal number' buttons on listings and capturing the dynamically rendered text before parsing it into our standard schema.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per listing ID for price drops, rating changes, and availability from the date your pipeline starts.
We support extraction from autoscout24.de, autoscout24.it, autoscout24.es, autoscout24.fr, autoscout24.nl, autoscout24.be, and autoscout24.at, using localised proxies for each region.
Targeted dealer inventory monitoring can run at hourly cadences. Full national market refreshes typically complete within a 12-24 hour window depending on query volume and search depth.
Our smallest packages start at tracking specific geographic regions or defined make/model combinations with weekly delivery. For full-market monitoring, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 1,000 listings as part of the pre-engagement scoping process, so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of electric vehicles or a continuous price-monitoring feed across Europe, we scope, build, and operate the pipeline. Tell us what you need.