We extract aftermarket parts catalogues, OEM references, pricing, and vehicle fitment compatibility from Oscaro. 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 Product Data objects from oscaro.com. All fields typed and schema-versioned.
"part_number": "0 450 906 509", "brand": "BOSCH", "title": "Fuel Filter BOSCH 0 450 906 509", "category": "Filters", "price": 14.99, "currency": "EUR", "stock_status": "In Stock"
| # | part_number | brand | title | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fitment & Compatibility objects from oscaro.com. All fields typed and schema-versioned.
"part_number": "0 450 906 509", "vehicle_make": "Volkswagen", "vehicle_model": "Golf V", "engine_type": "1.9 TDI", "year_start": "2003", "year_end": "2008", "kw_hp": "77 kW / 105 HP"
| # | part_number | vehicle_make | vehicle_model | engine_type | year_start | year_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for OEM References objects from oscaro.com. All fields typed and schema-versioned.
"part_number": "0 450 906 509", "brand": "BOSCH", "oem_number": "1K0 127 400 K", "manufacturer": "VAG", "reference_type": "Direct", "active": true
| # | part_number | brand | oem_number | manufacturer | reference_type | equivalence_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from oscaro.com. All fields typed and schema-versioned.
"part_number": "0 450 906 509", "current_price": 14.99, "original_price": 22.5, "discount_pct": 33, "stock_status": "In Stock", "delivery_time": "24-48h", "currency": "EUR"
| # | part_number | current_price | original_price | discount_pct | stock_status | delivery_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from oscaro.com. All fields typed and schema-versioned.
"part_number": "0 450 906 509", "diameter": "80 mm", "height": "136 mm", "material": "Aluminium", "weight": "0.3 kg", "thread_size": "M16 x 1.5", "connector_type": "Quick Connect"
| # | part_number | diameter | height | thread_size | material | voltage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Oscaro scraper handles vehicle selector state machines, dynamic fitment tables, and complex technical specification grids. We deliver normalised automotive data without the infrastructure overhead.
Extract part numbers, titles, brands, and categories across the entire Oscaro aftermarket inventory.
Map aftermarket parts to original equipment manufacturer codes to build equivalent part databases.
Capture make, model, engine, year, and chassis compatibility for every part in the catalogue.
Monitor retail prices, applied discounts, and promotional pricing across different product lines.
Track inventory availability and estimated delivery windows to optimise supply chain planning.
Extract dimensions, voltage, materials, and thread sizes into structured key value pairs.
Extract data from oscaro.com, oscaro.es, oscaro.pt, and other regional domains using a unified schema.
Download high resolution part photos and exploded view diagrams for catalogue enrichment.
Run continuous pipelines to detect new parts, updated OEM mappings, and price changes.
Brief in. Clean data out.
Provide part categories, brand lists, or specific vehicle parameters. We design the extraction schema.
We configure Scrapy crawlers, Playwright sessions for vehicle selectors, and proxy rotation.
Schema validation, null rate checks, and sample fitment mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on agreed cadence.
Automotive scraping requires navigating complex state machines and anti bot systems. Here is how we maintain reliable extraction.
Oscaro employs strict bot protection. Our crawlers use residential EU proxies with realistic browser fingerprints and automated solver integrations to bypass perimeter defences.
Accessing fitment data requires interacting with dynamic make, model, and engine dropdowns. We use Playwright to automate these state machines and expose the underlying part matrices.
Technical specifications vary wildly between a brake pad and an alternator. Our extraction logic normalises these variable grids into consistent key value structures.
We maintain a hash index of last seen values per part number. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null rate spikes, missing OEM mappings, and schema drift to ensure data quality remains high.
Aftermarket retailers monitor Oscaro pricing to adjust their own margins and remain competitive.
Parts distributors extract OEM cross references and technical specifications to flesh out their internal databases.
Software vendors build comprehensive make and model compatibility matrices for garage management systems.
Manufacturers analyse brand coverage and stock depth across different vehicle categories.
Supply chain analysts track stock availability signals to forecast demand for specific replacement parts.
Retailers track discount strategies and promotional campaigns across specific automotive brands.
"Oscaro holds the definitive matrix of European aftermarket parts and OEM cross references, but extracting it requires navigating complex vehicle selector state machines."
Automotive scraping is notoriously difficult due to nested fitment tables and dynamic vehicle selection flows. DataFlirt manages the proxy rotation, JavaScript execution, and schema normalisation so your engineering team can focus on catalogue matching, not pipeline maintenance.
Everything supported by our oscaro.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 manages JavaScript execution and complex vehicle selector interactions.
We maintain pools of residential EU proxies to bypass strict perimeter defences and ensure high success rates.
Pipelines run on scalable container infrastructure with Airflow handling scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About oscaro.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing data is generally permissible. We target only public catalogues and do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel.
We use Playwright to automate the browser interactions required to select make, model, and engine variants, exposing the specific parts compatible with each configuration.
We support extraction from oscaro.com, oscaro.es, oscaro.pt, and other localized domains, normalising the output into a single consistent schema.
Yes. We capture all listed OEM equivalent codes for every aftermarket part, allowing you to build comprehensive cross reference databases.
Pipelines can be configured for daily or weekly refreshes depending on your requirements. Change detection ensures you only process updated prices.
Yes. We provide a sample run covering specific part categories or vehicle models so you can validate the schema and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue dump or continuous pricing updates across the aftermarket. Tell us what you need.