We extract parts catalogues, VRM fitment mappings, OEM cross-references, branch-level stock, and pricing from Euro Car Parts. 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 Parts Catalogue objects from euro-car-parts.com. All fields typed and schema-versioned.
"part_number": "101440448", "title": "Bosch Brake Pad Set", "brand": "Bosch", "category": "Braking", "price": 34.99, "list_price": 55.49, "discount_pct": 36
| # | part_number | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fitment & VRM objects from euro-car-parts.com. All fields typed and schema-versioned.
"vrm": "AB12CDE", "make": "Ford", "model": "Focus", "year": 2018, "engine_size": "1.0", "fuel_type": "Petrol", "transmission": "Manual"
| # | vrm | make | model | year | engine_size | fuel_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promos objects from euro-car-parts.com. All fields typed and schema-versioned.
"part_number": "101440448", "current_price": 34.99, "was_price": 55.49, "promo_code": "SALE30", "promo_discount": 10.5, "click_collect_eligible": true, "price_timestamp": "2026-05-12T09:14:00Z"
| # | part_number | current_price | was_price | promo_code | promo_discount | delivery_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Branch Stock objects from euro-car-parts.com. All fields typed and schema-versioned.
"part_number": "101440448", "branch_id": "BR042", "branch_name": "London Park Royal", "stock_status": "In Stock", "quantity_available": 14, "collection_time": "Available Now", "last_updated": "2026-05-12T09:15:22Z"
| # | part_number | branch_id | branch_name | stock_status | quantity_available | collection_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for OEM & Alternatives objects from euro-car-parts.com. All fields typed and schema-versioned.
"part_number": "101440448", "oem_numbers": "['1223682', '1253982']", "premium_alternative": "10144044A", "budget_alternative": "10144044B", "warranty_period": "2 Years", "cross_reference_numbers": "['FDB1594']"
| # | part_number | oem_numbers | cross_reference_numbers | alternative_brands | premium_alternative | budget_alternative |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Euro Car Parts scraper handles every layer of the platform: VRM lookups, OEM cross-references, branch-specific stock levels, and dynamic pricing with session management and rate-limit circumvention built in.
Input registration plates, extract exact vehicle specifications and compatible parts lists.
Map aftermarket part numbers to original equipment manufacturer codes for precise cataloguing.
Extract real-time stock availability and collection times across all UK branch locations.
Capture base prices, promotional discounts, and active voucher codes applied at checkout.
Extract dimensions, voltage, thread sizes, and material specs for mechanical components.
Link premium, mid-range, and budget alternatives for identical fitment requirements.
Reconstruct the full parts hierarchy from service items to engine internals.
Monitor availability and pricing for specific manufacturers like Bosch, Brembo, and Pagid.
Run continuous pipelines at daily cadences with hash-based change detection for pricing updates.
Brief in. Clean data out.
Provide part numbers, VRM lists, or category URLs. We design the extraction schema together.
We configure Scrapy crawlers, branch session tokens, proxy rotation, and rate-limit handling for euro-car-parts.com.
Schema validation, null-rate checks, price-outlier detection, and fitment verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive parts sites rely on complex session state for vehicle selection and branch stock. Here is how we stay resilient.
VRM lookups and branch selection require persistent cookies. We maintain isolated browser contexts per vehicle lookup to prevent cross-contamination of fitment data.
Rate limits are strict for bulk VRM queries. We route requests through UK-based residential ISP proxies to avoid IP bans and geo-blocking.
Parts specifications load via dynamic JavaScript modules. We execute full Playwright sessions to hydrate technical data before extraction.
Discounts require active cart sessions. Our crawlers simulate add-to-cart actions to extract final promotional pricing.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs for price or stock changes.
Aftermarket retailers track promotional pricing and base rates to adjust their own pricing algorithms.
Parts distributors map OEM numbers and technical specifications to improve their internal fitment databases.
Garages and fleet managers monitor branch-level stock for critical components to optimise repair scheduling.
Market analysts track the ratio of premium to budget brands across specific vehicle categories.
Data providers cross-reference vehicle registration lookups to validate engine codes and chassis compatibility.
Financial analysts track long-term price movements on standard service items like brake pads and filters.
"Automotive fitment data is highly relational. Extracting a part is easy; mapping it to 400 vehicle variants requires infrastructure."
Most teams underestimate the investment required: reliable automotive scraping requires persistent session state for VRM lookups, UK residential proxies, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our euro-car-parts.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 handles JavaScript rendering, VRM session state, and interaction flows.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions for branch selection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About euro-car-parts.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under UK law. DataFlirt targets only public, non-authenticated parts, pricing, and stock data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel.
We use UK residential ISP proxies and isolate session cookies per lookup. Request timing is modelled on human behaviour to prevent IP bans during bulk fitment queries.
Yes. We simulate location changes using branch IDs or postcodes to extract exact stock quantities and collection times across all UK locations.
Daily catalogue refreshes complete within a 4-8 hour window. For specific high-priority SKUs, we can configure hourly pipelines to track flash sales and promo code changes.
Yes. We extract all listed alternative part numbers, manufacturer codes, and OEM references for every component.
Our smallest packages start at a defined list of 10,000 part numbers or 5,000 VRMs with weekly delivery. We price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 part numbers or 100 VRM lookups as part of the pre-engagement scoping process to validate schema fit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off OEM cross-reference dump or continuous branch stock monitoring across 100K parts, we scope, build, and operate the pipeline. Tell us what you need.
