We extract aftermarket part catalogues, OEM cross-references, vehicle fitment matrices, and regional pricing from Mister-Auto. 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 Details objects from mister-auto.com. All fields typed and schema-versioned.
"article_number": "BOSCH 0 986 479 098", "brand": "BOSCH", "part_name": "Brake Disc", "category": "Brakes > Brake Discs", "price": 45.9, "stock_status": "In Stock", "ean": "4047024118765", "oem_references": "['1K0 615 301 AK', '1K0 615 301 AB']"
| # | article_number | brand | part_name | category | price | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from mister-auto.com. All fields typed and schema-versioned.
"article_number": "BOSCH 0 986 479 098", "diameter": "288 mm", "weight": "6.5 kg", "material": "High-carbon steel", "fitting_position": "Front Axle", "thread_size": "M12 x 1.5", "warranty": "2 Years"
| # | article_number | voltage | diameter | weight | teeth_count | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Compatibility objects from mister-auto.com. All fields typed and schema-versioned.
"article_number": "BOSCH 0 986 479 098", "make": "VOLKSWAGEN", "model": "GOLF VI (5K1)", "engine": "1.4 TSI", "year_start": "2008", "year_end": "2012", "kw": "90", "hp": "122"
| # | article_number | make | model | engine | year_start | year_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from mister-auto.com. All fields typed and schema-versioned.
"article_number": "BOSCH 0 986 479 098", "base_price": 65.0, "discount_price": 45.9, "discount_pct": 29, "currency": "EUR", "region": "mister-auto.de", "delivery_time": "48h", "scraped_at": "2026-05-12T09:14:00Z"
| # | article_number | base_price | discount_price | discount_pct | currency | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Data objects from mister-auto.com. All fields typed and schema-versioned.
"category_id": "cat-brakes-123", "category_name": "Brake Discs", "parent_category": "Braking System", "total_products": 14250, "top_brands": "['BOSCH', 'BREMBO', 'TRW']", "min_price": 12.5, "max_price": 350.0
| # | category_id | category_name | parent_category | url | total_products | top_brands |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mister-Auto scraper handles every layer of the platform: automotive catalogues, dynamic pricing, OEM cross-references, and the massive vehicle fitment matrices - with JavaScript rendering and anti-bot circumvention built in.
Title, brand, article numbers, images, and every metadata field Mister-Auto surfaces - scraped at the individual part level.
Map aftermarket parts directly to original equipment manufacturer numbers to build definitive part equivalency databases.
Extract compatible makes, models, engines, and production years for every part, handling thousands of fitment combinations per SKU.
Monitor pricing, discounts, and base rates across mister-auto.co.uk, .de, .fr, and .es to track cross-border arbitrage opportunities.
Extract structured key-value pairs for dimensions, voltage, teeth count, and fitting positions from tabular spec data.
Track inventory status and estimated delivery windows across regional distribution centres.
Capture suggested alternatives and equivalent parts from competing brands displayed on the product page.
Extract universal barcodes and internal article numbers for precise cross-platform matching.
Map the entire hierarchical tree of automotive systems, from primary categories down to specific component families.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide article numbers, OEM codes, category URLs, or vehicle identifiers. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for mister-auto.com.
Schema validation, null-rate checks, price-outlier detection, and sample fitment matrices before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive catalogues are deeply nested and protected by stringent anti-bot systems. Here is how we extract fitment data reliably.
Mister-Auto employs strict bot detection. Our crawlers use residential ISP proxies located within the target region, paired with realistic browser fingerprints and full cookie session management to bypass Datadome and Cloudflare challenges.
The make-model-engine selector relies entirely on asynchronous JavaScript. We run full Playwright browser sessions to execute these AJAX requests, triggering the necessary dropdowns to expose complete fitment data.
A single brake disc might fit 2,000 different vehicle configurations. We handle the complex pagination and dynamic loading required to extract the complete compatibility matrix without truncating records.
Technical specifications vary wildly between part categories. We use dynamic key-value extraction to parse these tables, normalising attributes like voltage, diameter, and thread size regardless of the DOM structure.
For massive automotive catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs for updated prices or stock statuses, reducing compute cost and downstream processing load.
Aftermarket retailers and distributors monitor competitor pricing, discount strategies, and base rates to adjust their own margins.
PIM system administrators populate internal databases with missing OEM cross-references, technical specifications, and high-resolution images.
Automotive software providers build universal vehicle compatibility tools by extracting the exact make, model, and engine fitment matrices.
Industry analysts evaluate brand dominance, category saturation, and pricing tiers within specific automotive component families.
Supply chain teams track stock availability signals and delivery window estimates to predict regional supply shortages.
Trading firms compare Mister-Auto prices across different European domains to identify arbitrage opportunities in auto parts distribution.
"Automotive aftermarket data is useless without exact vehicle fitment matrices and OEM cross-references. We extract the complete relational graph."
Extracting data from Mister-Auto requires more than basic HTTP requests. The vehicle selector relies heavily on asynchronous JavaScript, and the sheer volume of fitment combinations demands intelligent crawling strategies. DataFlirt manages the residential proxies, JavaScript execution, and schema parsing so you receive structured automotive data ready for your warehouse.
Everything supported by our mister-auto.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 and retry logic. Playwright executes the AJAX-heavy vehicle selectors and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across European regions. Rotation happens per-request with sticky sessions where required to bypass strict bot protection.
Pipelines run on AWS Lambda and ECS. 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 mister-auto.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Mister-Auto is generally permissible under applicable law. DataFlirt targets only public, non-authenticated auto parts, pricing, and fitment data. We do not extract personal data or circumvent authentication walls. Clients should review the target site's ToS and consult legal counsel for specific use cases.
The make-model-engine selector is heavily JavaScript-dependent. We use full Playwright browser sessions to execute the necessary AJAX requests, triggering the dropdowns systematically to expose the complete fitment data.
Yes. We support mister-auto.co.uk, mister-auto.de, mister-auto.fr, mister-auto.es, and other regional variants. We can map the same article numbers across different regions to provide comparative pricing datasets.
Technical specifications are extracted as structured key-value pairs. We normalise attributes like dimensions, voltage, and thread size across different part categories so they fit cleanly into your database schema.
Yes. Every part record includes an array of all associated OEM and OES cross-reference numbers displayed on the product page, allowing you to build comprehensive equivalency tables.
For targeted SKU lists, we can configure daily or sub-daily pipelines. Full catalogue refreshes typically run weekly due to the massive volume of fitment data. We use hash-based diffing to only deliver records that have changed.
Our smallest packages start at a defined list of categories or a specific set of article numbers with weekly delivery. For full-site extractions across multiple regions, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete aftermarket catalogue dump or continuous price monitoring across European regions - we scope, build, and operate the pipeline. Tell us what you need.
