We extract OEM numbers, KBA/HSN/TSN fitment data, technical specifications, and pricing signals from Autodoc.de. 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 Part Listings objects from autodoc.de. All fields typed and schema-versioned.
"article_no": "0 986 479 098", "brand": "BOSCH", "name": "Brake Disc", "price": 34.5, "currency": "EUR", "in_stock": true, "rating": 4.8, "ean": "4047024103144"
| # | article_no | brand | name | price | currency | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Fitment objects from autodoc.de. All fields typed and schema-versioned.
"article_no": "0 986 479 098", "make": "VW", "model": "GOLF VII (5G1, BQ1, BE1, BE2)", "engine": "1.4 TSI", "year_from": "2012-11", "year_to": "null", "kw": 103, "hp": 140
| # | article_no | make | model | engine | year_from | year_to |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from autodoc.de. All fields typed and schema-versioned.
"article_no": "0 986 479 098", "fitting_position": "Front Axle", "weight_kg": 6.4, "material": "High-carbon", "diameter_mm": 288, "thickness_mm": 25, "minimum_thickness_mm": 22, "number_of_holes": 5
| # | article_no | fitting_position | length_mm | weight_kg | material | voltage_v |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from autodoc.de. All fields typed and schema-versioned.
"article_no": "0 986 479 098", "base_price": 45.9, "discount_price": 34.5, "currency": "EUR", "discount_pct": 25, "core_charge": 0.0, "delivery_days": "1-2", "price_timestamp": "2026-05-12T10:15:00Z"
| # | article_no | base_price | discount_price | currency | discount_pct | core_charge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cross References objects from autodoc.de. All fields typed and schema-versioned.
"article_no": "0 986 479 098", "brand": "BOSCH", "oem_number": "5Q0 615 301 A", "oen_reference": "VW", "trade_numbers": "BD1234", "ean": "4047024103144", "supersedes": "0 986 479 097"
| # | article_no | brand | oem_number | oen_reference | trade_numbers | ean |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Autodoc scraper handles every layer of the platform: parts listings, dynamic pricing, fitment tables, and OEM cross-references. JavaScript rendering, session management, and Datadome circumvention are built in.
Article numbers, EAN, manufacturer brands, and deep technical specifications scraped at the individual part level.
Extract comprehensive compatibility tables including Make, Model, Engine, Year, and KBA/HSN/TSN data for the German market.
Map aftermarket parts to Original Equipment Manufacturer numbers and competing brand article numbers.
Capture base price, daily discount percentages, final price, and core charges timestamped per crawl.
Dimensions, weight, materials, voltage, and fitting position data extracted into structured key-value pairs.
Monitor inventory availability signals and estimated delivery windows across different European regions.
Track pricing and positioning of house brands like Ridex and Stark against premium aftermarket brands.
Map the entire Autodoc category tree from parent assemblies down to individual component sub-categories.
Scrape autodoc.de, autodoc.co.uk, autodoc.fr, and other regional domains with localised pricing and availability.
Brief in. Clean data out.
Provide OEM lists, KBA numbers, categories, or competitor URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Datadome bypass, and DE residential proxies for autodoc.de.
Schema validation, null-rate checks, and fitment mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Autodoc invests heavily in bot detection and complex frontend frameworks. Here is how we stay resilient.
Autodoc uses strict Datadome bot protection. Our infrastructure utilizes residential DE proxies, TLS fingerprint spoofing, and automated CAPTCHA solving to maintain uninterrupted access.
Vehicle selection and fitment tables rely heavily on client-side JavaScript. We use Playwright to execute SPA logic, trigger lazy-loaded tables, and extract nested compatibility data.
For massive catalogues of millions of parts, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
A single brake pad might fit 500 vehicle variants. Our crawlers handle deep pagination and nested AJAX requests to ensure complete fitment coverage without missing rows.
Autodoc alters pricing based on the visitor's IP address. We route requests exclusively through specific regional residential nodes to capture accurate local market pricing.
Aftermarket retailers track Autodoc's daily discount fluctuations to optimise their own pricing algorithms.
Parts manufacturers aggregate OEM to aftermarket mappings to improve their own catalogue search functions.
Brands analyse the placement, pricing, and review velocity of Autodoc's Ridex and Stark private labels.
Distributors identify missing brands or part numbers in their own inventory by comparing against the Autodoc catalogue.
Supply chain analysts use review counts and stock signals to model demand for specific wear parts.
Data science teams train machine learning models on KBA/HSN/TSN fitment data to automate vehicle compatibility matching.
"Autodoc.de holds the most comprehensive aftermarket fitment database in Europe. Extracting accurate KBA to OEM mappings requires dedicated infrastructure."
Most teams underestimate the complexity of automotive scraping. Autodoc's nested vehicle compatibility tables, Datadome bot protection, and dynamic JavaScript selectors break standard HTTP clients. DataFlirt handles the proxy rotation and session management so your team can focus on parts analysis, not pipeline maintenance.
Everything supported by our autodoc.de 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 for fitment tables.
We maintain pools of residential ISP proxies across DE regions. Rotation happens per-request with sticky sessions where required to avoid Datadome blocks.
Pipelines run on AWS Lambda and Kubernetes. 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 autodoc.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Autodoc is generally permissible under applicable law. DataFlirt targets only public, non-authenticated parts, pricing, and fitment data. We do not extract personal data or violate GDPR.
We use residential DE ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and automated solvers for Datadome. Our infrastructure adapts to block rates in real time.
Yes. We extract complete Make, Model, Engine, and Year tables, including KBA/HSN/TSN mappings for the German market, navigating all nested pagination.
We support autodoc.de, autodoc.co.uk, autodoc.fr, autodoc.it, and other regional variants using geo-targeted proxies to capture accurate local pricing and availability.
Pipelines can be configured for daily delta updates on pricing and availability for defined OEM lists, while full catalogue refreshes typically run on a weekly cadence.
Our packages start at a defined list of brands, categories, or OEM numbers. Contact us with your specific data requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted OEM cross-reference export or a continuous price-monitoring feed across 1M parts, we scope, build, and operate the pipeline. Tell us what you need.
