We extract product catalogues, pricing signals, sizing availability, and colour variants from Tommy Hilfiger. 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 tommyhilfiger.com. All fields typed and schema-versioned.
"style_id": "MW28100", "title": "Essential Cotton Crew Neck Jumper", "category": "Men > Jumpers", "gender": "Men", "fit_type": "Regular Fit", "material_composition": "100% Transitional Cotton", "sustainability_flag": true
| # | style_id | title | description | category | sub_category | gender |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promos objects from tommyhilfiger.com. All fields typed and schema-versioned.
"sku": "MW28100-BDS-M", "base_price": 95.0, "sale_price": 76.0, "currency": "GBP", "discount_pct": 20, "promo_code_eligible": false, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | style_id | base_price | sale_price | currency | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Sizing objects from tommyhilfiger.com. All fields typed and schema-versioned.
"sku": "MW28100-BDS-M", "colour_name": "Black", "size_label": "M", "in_stock": true, "low_stock_warning": true, "stock_qty": 3, "restock_date": "None"
| # | sku | style_id | colour_name | colour_code | size_label | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Imagery & Assets objects from tommyhilfiger.com. All fields typed and schema-versioned.
"style_id": "MW28100", "colour_name": "Black", "primary_image_url": "https://tommy.com/img/MW28100_BDS_main.jpg", "gallery_urls": "['https://tommy.com/img/MW28100_BDS_alt1.jpg', 'https://tommy.com/img/MW28100_BDS_alt2.jpg']", "model_height": "1.86m", "model_size_worn": "M", "swatch_url": "https://tommy.com/img/swatch_BDS.jpg"
| # | style_id | colour_name | primary_image_url | gallery_urls | model_height | model_size_worn |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from tommyhilfiger.com. All fields typed and schema-versioned.
"style_id": "MW28100", "average_rating": 4.6, "review_count": 142, "fit_feedback": "True to size", "quality_rating": 4.8, "comfort_rating": 4.7, "scraped_at": "2026-05-12T09:14:33Z"
| # | style_id | average_rating | review_count | fit_feedback | quality_rating | comfort_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline maps the entire product hierarchy: categories, parent styles, colour swatches, and size-level SKUs. We handle regional pricing, promotional logic, and stock availability.
Title, description, fit type, material composition, and category mapping extracted for every parent style.
Colour and size matrices mapped accurately to the parent style, yielding distinct SKU-level records.
Capture base price, sale price, promotional eligibility, and currency data across different regional storefronts.
Monitor in-stock status and low stock warnings per size and colour combination.
Extract fabric composition percentages, sustainability flags, and washing instructions.
Capture model dimensions, fit type classifications, and size guide URLs.
Extract primary images, full gallery arrays, and colour swatch URLs for visual search training.
Scrape localised sites including US, UK, and EU variations with correct regional pricing.
Run pipelines that only emit records for SKUs with changed prices or stock status since the last run.
Brief in. Clean data out.
Provide category URLs, specific style IDs, or region targets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for tommyhilfiger.com.
Schema validation, null-rate checks, price-outlier detection, and variant mapping review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fashion retailers deploy aggressive edge protection and complex frontend frameworks. We handle the infrastructure so you get clean data.
Apparel pricing varies heavily by region. Our crawlers use residential ISP proxies targeted to the specific region you need, ensuring we capture correct local pricing and avoid geo-redirects.
Modern retail sites load basic HTML and hydrate inventory data via API calls. We intercept these internal API responses or use full Playwright sessions to ensure variant data is fully rendered.
A single jacket might have 40 SKUs across size and colour combinations. DataFlirt normalises this matrix into flat, queryable records with distinct pricing and stock states.
Retailers use Datadome, Akamai, or Cloudflare to block automated traffic. We deploy realistic browser fingerprints, TLS spoofing, and automated CAPTCHA solvers to maintain high success rates.
Retail sites update layouts frequently for seasonal campaigns. We use multiple fallback chains per field so a layout change does not break your data pipeline overnight.
Retailers track premium apparel pricing, promotional frequency, and depth of discount to adjust their own pricing strategies.
Merchandising teams analyse category breadth, colour prevalence, and material usage to forecast seasonal trends.
Brands monitor third-party stockists to ensure compliance with Minimum Advertised Price policies.
Analysts track size-level stockout rates to understand demand curves for specific fits and colours.
Machine learning teams ingest high-resolution product imagery and metadata to train computer vision models.
Financial analysts monitor the ratio of full-price to discounted items to estimate gross margin impact.
"Tommy Hilfiger represents a core node in premium apparel pricing. Extracting its catalogue reveals macro trends in fashion discounting and inventory lifecycle."
Apparel scraping requires deep variant mapping. A single jacket might have 40 SKUs across size and colour combinations, each with distinct pricing and stock states. DataFlirt normalises this matrix into flat, queryable records, handling the frontend rendering complexity so your analysts receive clean data.
Everything supported by our tommyhilfiger.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request with sticky sessions where required.
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 tommyhilfiger.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and catalogue information is generally permissible. DataFlirt targets only public, non-authenticated product data. We do not extract personal data or circumvent authentication walls.
We extract the parent style and iterate through all available colour and size combinations, emitting a flat record for each distinct SKU with its specific price and stock status.
Yes. We use localised residential proxies to access US, UK, EU, and other regional storefronts, ensuring we capture the correct local pricing and currency.
Pipelines can be configured to run daily or multiple times a day depending on your requirement for stockout monitoring.
We extract the high-resolution URLs for primary images, gallery shots, and colour swatches. We do not host the image files directly.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process to 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 thousands of SKUs, we scope, build, and operate the pipeline. Tell us what you need.
