We extract product listings, sizing grids, colour variants, material compositions, and pricing signals from tom-tailor.de. 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 Metadata objects from tom-tailor.de. All fields typed and schema-versioned.
"product_id": "1038472", "title": "Slim Fit Denim Jeans", "brand": "Tom Tailor", "category": "Men", "sub_category": "Jeans", "fabric_composition": "98% Cotton, 2% Elastane", "care_instructions": "Machine wash at 30°C", "sustainability_label": "BE PART"
| # | product_id | title | brand | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from tom-tailor.de. All fields typed and schema-versioned.
"product_id": "1038472", "base_price": 59.99, "current_price": 39.99, "currency": "EUR", "discount_pct": 33, "is_sale": true, "price_timestamp": "2026-05-12T09:14:00Z"
| # | product_id | base_price | current_price | currency | discount_pct | discount_abs |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Sizing objects from tom-tailor.de. All fields typed and schema-versioned.
"variant_id": "1038472-001-3234", "parent_id": "1038472", "colour_name": "Dark Wash Blue", "size": "32/34", "size_system": "EU", "in_stock": true, "stock_indicator": "Low Stock"
| # | variant_id | parent_id | colour_name | colour_hex | size | size_system |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Media & Assets objects from tom-tailor.de. All fields typed and schema-versioned.
"product_id": "1038472", "main_image_url": "https://tom-tailor.de/media/img/1038472_main.jpg", "gallery_urls": "['https://tom-tailor.de/media/img/1038472_alt1.jpg', 'https://tom-tailor.de/media/img/1038472_alt2.jpg']", "model_size_worn": "32/32", "model_height": "185 cm", "swatch_url": "https://tom-tailor.de/media/swatch/dark_wash.jpg"
| # | product_id | main_image_url | gallery_urls | model_size_worn | model_height | video_url |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Categorisation & Taxonomy objects from tom-tailor.de. All fields typed and schema-versioned.
"product_id": "1038472", "breadcrumbs": "['Men', 'Clothing', 'Jeans', 'Slim Fit']", "gender": "Men", "collection_name": "Denim Core", "season": "AW26", "fit_type": "Slim Fit", "style_code": "TT-JNS-092"
| # | product_id | breadcrumbs | gender | collection_name | season | fit_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Tom Tailor scraper handles every layer of the platform: full product catalogues, dynamic sizing matrices, pricing histories, and high-resolution media mapping.
Title, description, fit details, fabric composition, and care instructions — scraped at the product level with complete metadata.
Map parent products to individual SKUs across colourways and size grids, capturing precise availability states.
Capture base price, sale price, discount percentages, and campaign tags — timestamped per crawl to track markdown velocity.
Extract main images, gallery arrays, colour swatches, and model dimension details directly from the CDN.
Reconstruct full site navigation trees, breadcrumbs, and collection assignments for accurate assortment analysis.
Isolate 'BE PART' labels and sustainable material compositions to track eco-friendly assortment ratios.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Extract localized pricing and availability across Tom Tailor's European domains, maintaining a unified schema.
Capture 'Complete the Look' product recommendations to understand merchandising strategies.
Brief in. Clean data out.
Provide category URLs, specific collections, or full-site mandates. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for tom-tailor.de.
Schema validation, null-rate checks, price-outlier detection, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fashion eCommerce platforms rely heavily on dynamic state for sizing and pricing. Here is how we maintain data integrity at scale.
eCommerce firewalls block aggressive datacenter IPs. Our crawlers use European residential proxies with realistic browser fingerprints, ensuring continuous access to catalogue pages without triggering rate limits.
Size availability and dynamic price updates often rely on client-side rendering. We run full Playwright browser sessions with JavaScript execution to capture the true state of inventory that headless HTTP clients miss.
Retail sites update DOM structures for seasonal campaigns. Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and JSON-LD extraction — so a layout change does not break your pipeline.
For large apparel catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and category coverage drops — responding before you notice.
Fashion retailers monitor Tom Tailor's pricing architecture, discount depth, and promotional calendars to optimise their own strategies.
Merchandising teams analyse category depth, colour distribution, and sizing curves to identify gaps in their own product lines.
Analysts track markdown velocity and clearance cycles across seasons to build predictive pricing models.
Design teams extract fabric compositions, fit types, and aesthetic details to quantify macro trends in European casual wear.
Machine learning teams ingest high-resolution product imagery and structured taxonomy tags to train computer vision models.
Aggregators and affiliate platforms sync catalogue data to ensure their listings reflect accurate pricing and stock states.
"Tom Tailor's digital catalogue holds precise signals on European fashion trends, pricing elasticity, and sizing distribution — queryable only if you build the extraction pipeline."
Retail data teams underestimate the complexity of fashion extraction. Capturing complete variant matrices, tracking stock down to the SKU level, and managing session state requires dedicated infrastructure. DataFlirt absorbs this maintenance burden so your engineers focus on margin analysis, not proxies.
Everything supported by our tom-tailor.de 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 European regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 tom-tailor.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product catalogues and pricing data is generally permissible. DataFlirt targets only public, non-authenticated fashion data. We do not extract personal user data or circumvent authentication walls. Clients should review relevant terms of service and consult legal counsel for specific commercial use cases.
We use full Playwright browser sessions to execute JavaScript, ensuring that dynamic size selectors and stock indicators are fully hydrated before data extraction occurs.
For full catalogue refreshes, we recommend daily cadences. For targeted subsets, such as clearance categories or bestsellers, we can configure hourly runs to track fast-moving stock and price changes.
Yes. We capture the direct CDN URLs for main product images, alternate gallery views, and colour swatches, delivering them as structured arrays within the JSON payload.
We use a parent-child schema. The parent record holds shared metadata (brand, description, fabric), while child records contain SKU-specific data (colour, size, stock status, exact price).
Our minimum engagement typically covers a full daily extraction of the primary tom-tailor.de catalogue. For custom schemas or multi-region tracking, we price based on volume and delivery frequency.
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 seasonal collections — we scope, build, and operate the pipeline. Tell us what you need.
