We extract tyre specifications, EU label metrics, pricing signals, inventory status, and fitting network data from Mytyres. 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 mytyres.co.uk. All fields typed and schema-versioned.
"product_id": "R-421398", "brand": "Michelin", "model": "CrossClimate 2", "width": 205, "profile": 55, "rim_size": 16, "load_index": 91, "speed_rating": "V", "season": "All-season", "runflat": false
| # | product_id | brand | model | width | profile | rim_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from mytyres.co.uk. All fields typed and schema-versioned.
"product_id": "R-421398", "price": 104.5, "list_price": 120.0, "discount_pct": 12, "currency": "GBP", "in_stock": true, "delivery_time_days": "2-3", "price_timestamp": "2026-05-12T09:14:00Z"
| # | product_id | price | list_price | discount_pct | currency | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for EU Label Data objects from mytyres.co.uk. All fields typed and schema-versioned.
"product_id": "R-421398", "fuel_efficiency_class": "C", "wet_grip_class": "B", "noise_db": 69, "noise_class": "A", "severe_snow": true, "ice_grip": false, "eprel_id": "411392"
| # | product_id | fuel_efficiency_class | wet_grip_class | noise_db | noise_class | severe_snow |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fitting Stations objects from mytyres.co.uk. All fields typed and schema-versioned.
"station_id": "FS-8821", "name": "London Tyre Centre", "postcode": "E1 6AN", "city": "London", "rating": 4.8, "review_count": 142, "fitting_price_per_tyre": 15.0, "distance_miles": 2.4
| # | station_id | name | address | postcode | city | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from mytyres.co.uk. All fields typed and schema-versioned.
"review_id": "REV-99214", "product_id": "R-421398", "star_rating": 5, "review_date": "2026-04-18", "mileage_driven": "10000-15000", "driving_style": "Normal", "review_text": "Excellent grip in wet conditions.", "vehicle_driven": "Volkswagen Golf"
| # | review_id | product_id | reviewer_name | star_rating | review_date | mileage_driven |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mytyres scraper handles the complete automotive catalogue: dimensional filtering, VRM lookups, EU compliance labels, and dynamic pricing, with JavaScript rendering and bot circumvention built in.
Extract width, profile, rim size, load index, speed rating, and runflat status across all passenger, 4x4, and commercial tyres.
Capture fuel efficiency, wet grip, noise emissions in decibels, and severe snow ratings to ensure compliance tracking.
Track base prices, discounts, and delivery fees. Timestamped per crawl for accurate historical pricing models.
Monitor stock availability and estimated delivery windows across the Mytyres distribution network.
Scrape local installer details, fitting prices, postcodes, and customer ratings based on geo-coordinates.
Automate VRM inputs to map specific tyre dimensions and recommendations to vehicle registration plates.
Categorise inventory by summer, winter, and all-season tyres, tracking seasonal price fluctuations.
Extract star ratings, mileage reports, driving style contexts, and full review text for sentiment analysis.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide tyre dimensions, brand lists, or postcodes for fitting stations. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for mytyres.co.uk.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive ecommerce sites use complex filtering and dynamic inventory systems. Here is how we stay resilient.
Tyre searches require selecting width, profile, and rim size sequentially. Our crawlers programmatically iterate through these dimensional permutations to ensure 100% catalogue coverage without missing edge cases.
Mytyres loads specific pricing and stock availability via JavaScript after the initial page load. We run full Playwright browser sessions to hydrate these widgets, capturing data that headless HTTP clients miss entirely.
Frequent sequential queries trigger rate limits and IP bans. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain uninterrupted access.
Ecommerce DOM structures change frequently during promotions. Our selector strategy uses multiple fallback chains per field, so a seasonal layout change does not break your data pipeline.
For large tyre catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Independent tyre retailers and national chains monitor Mytyres pricing and delivery times to adjust their own retail strategies.
Distributors track stock availability across specific brands and dimensions to identify supply chain bottlenecks.
Analysts track brand representation, seasonal shifts in demand, and new product launches within the UK tyre market.
Fleet operators use automated pricing feeds to calculate optimal procurement costs for specific vehicle types.
Machine learning teams use tyre specifications and vehicle compatibility data to train recommendation engines.
Brands audit retail channels to track promotional frequency and discount depths applied to their product lines.
"Mytyres holds the definitive dataset for UK tyre pricing and EU label compliance, but accessing it requires navigating millions of dimensional permutations."
Most teams underestimate the investment required: reliable Mytyres scraping requires residential proxies, full JavaScript rendering for pricing, handling complex dropdown state machines, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our mytyres.co.uk 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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 mytyres.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Mytyres is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We algorithmically generate the permutations for width, profile, and rim size, iterating through the parameters systematically to ensure complete catalogue coverage without missing valid combinations.
Yes. If you provide a list of VRMs, we can automate the license plate lookup process to extract the exact tyre specifications recommended for those vehicles.
Daily refreshes complete within a 4-8 hour window depending on the catalogue size. For specific high-priority SKUs, we can configure sub-hourly streaming pipelines.
Yes. We can iterate through UK postcodes to extract the complete network of partner fitting stations, including their local pricing, distances, and customer reviews.
Our smallest packages start at a defined brand list or dimensional subset with weekly delivery. For full-site catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 tyre models or 50 fitting stations as part of the pre-engagement scoping process, so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 50,000 SKUs, we scope, build, and operate the pipeline. Tell us what you need.
