We extract tyre specifications, wheel fitment matrices, UTQG ratings, testing results, and consumer reviews from Tire Rack. 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 Tyre Specifications objects from tirerack.com. All fields typed and schema-versioned.
"brand": "Michelin", "model": "Pilot Sport 4S", "size": "245/35ZR19", "load_index": "93", "speed_rating": "Y", "utqg": "300 AA A", "tread_depth": "9.5/32"", "weight": "24 lbs"
| # | brand | model | performance_category | size | load_index | speed_rating |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Wheel Data objects from tirerack.com. All fields typed and schema-versioned.
"brand": "BBS", "model": "CI-R", "finish": "Platinum Silver", "size": "19x8.5", "offset": "45mm", "bolt_pattern": "5-112", "weight": "24.3 lbs", "price": 715.0
| # | brand | model | finish | size | offset | backspacing |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Vehicle Fitment objects from tirerack.com. All fields typed and schema-versioned.
"year": 2023, "make": "Porsche", "model": "911", "trim": "Carrera S", "oe_tyre_size": "245/35R20", "rear_tyre_size": "305/30R21", "tpms_required": true
| # | year | make | model | trim | body_style | oe_tyre_size |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from tirerack.com. All fields typed and schema-versioned.
"overall_rating": 4.8, "miles_driven": 15000, "driving_condition": "Combined Highway/City", "wet_traction": 9.2, "dry_traction": 9.8, "treadwear": 8.5, "review_date": "2026-02-14"
| # | review_id | product_id | reviewer_location | miles_driven | driving_condition | driving_style |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Inventory objects from tirerack.com. All fields typed and schema-versioned.
"sku": "435YR9PS4SXL", "price": 318.99, "rebate_available": true, "rebate_amount": 70.0, "inventory_status": "In Stock", "estimated_delivery": "2026-05-18", "zip_code": "46204"
| # | product_id | sku | price | msrp | discount | rebate_available |
|---|---|---|---|---|---|---|
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Our Tire Rack scraper navigates complex vehicle selectors, parses staggered fitment matrices, and normalises intricate tyre specifications into structured database rows.
UTQG ratings, load index, speed rating, tread depth, and physical dimensions scraped at the individual SKU level.
Extract offset, backspacing, bolt patterns, center bore, and construction type for aftermarket wheels.
Automated traversal of Year / Make / Model / Trim selectors to build comprehensive OE fitment databases.
Capture mileage, driving style, and granular sub-ratings for wet, dry, and snow traction across all paginated reviews.
Parse proprietary track data, stopping distances, and slalom times from Tire Rack's internal testing articles.
Monitor real-time prices, mail-in rebates, and instant discounts mapped to specific ZIP codes.
Track stock status and estimated delivery dates based on regional distribution center routing.
Identify Original Equipment manufacturer tags (e.g., N0 for Porsche, Star for BMW) per vehicle fitment.
Normalise complex front and rear split sizes for performance vehicles into a single cohesive vehicle record.
Run one-off bulk exports or configure continuous pipelines to track pricing and rebate fluctuations.
Brief in. Clean data out.
Provide target brands, tyre categories, or vehicle Year/Make/Model lists. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to navigate sequential vehicle selectors and bypass WAF protections.
Schema validation, null-rate checks, and fitment logic verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive fitment sites rely on stateful sessions and aggressive bot protection. Here is how we maintain stable extraction.
Tire Rack relies on a sequential Year/Make/Model/Trim selection flow. We maintain Playwright session state to iterate through the complete vehicle matrix without triggering session resets or infinite redirects.
Akamai bot protection actively blocks datacenter IPs. We route requests through US-based residential ISP proxies with realistic browser fingerprints to maintain uninterrupted access.
Stock status and estimated delivery dates are fetched via asynchronous XHR requests based on user ZIP code. We intercept these API calls directly to capture accurate regional availability.
Performance cars require different front and rear tyre sizes. Our extraction schema normalises these relationships into a single vehicle record, preventing downstream database conflicts.
Tyre specifications rarely change, but prices and manufacturer rebates fluctuate. We hash product specs and only emit diffs for dynamic fields, reducing compute cost and storage bloat.
Competitor price monitoring and inventory tracking for independent tyre and wheel retailers.
Auto parts platforms use our extraction to populate their own Year/Make/Model fitment selectors.
Brands track consumer sentiment, UTQG comparisons, and Tire Rack test results against competitors.
Adjust pricing algorithms based on Tire Rack's active rebates, discounts, and out-of-stock signals.
Analyse review text and mileage reports to identify treadwear issues or wet traction complaints.
Track the proliferation of EV-specific tyres and OE fitment wins across new vehicle models.
"Tire Rack holds the definitive North American database for vehicle fitment and tyre performance, but extracting it requires navigating sequential state-heavy selectors."
Most teams fail to scrape Tire Rack because they cannot handle the stateful Year/Make/Model/Trim dropdowns or Akamai bot mitigation. DataFlirt manages the proxy rotation, session persistence, and staggered fitment logic so you receive clean, normalised automotive data ready for your warehouse.
Everything supported by our tirerack.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.
Playwright handles complex interaction flows required for automotive fitment selectors, while Scrapy manages deduplication and retry logic.
We maintain pools of US residential ISP proxies to bypass WAF protections. Rotation happens per-request with sticky sessions for fitment state.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About tirerack.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated fitment, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use Playwright to maintain session context, sequentially selecting Year, Make, Model, and Trim, capturing the resulting OE tyre and wheel fitment data before moving to the next iteration.
Yes. Our schema is designed to capture both square setups and staggered fitments, recording distinct front and rear tyre and wheel specifications for applicable vehicles.
Yes. We extract active mail-in rebates, instant discounts, and promotional offers associated with specific tyre models and brands.
We configure pipelines based on your requirements. Pricing and inventory can be refreshed daily or hourly depending on the scope of the target catalogue.
Yes. We parse the structured test results, including stopping distances, slalom times, and subjective track ratings published in Tire Rack's testing articles.
Our minimum engagement typically starts with a defined list of brands or a specific vehicle matrix. Contact us with your exact scope for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete vehicle fitment database or continuous pricing intelligence across all major tyre brands, we scope, build, and operate the pipeline.
