We extract apparel catalogues, regional pricing, size-level stock data, and brand directories from About You. 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 Listings objects from aboutyou.com. All fields typed and schema-versioned.
"product_id": "AY-10948", "brand": "Levi's", "title": "501 Original Fit Jeans", "price": 89.9, "currency": "EUR", "colours": "['Light Blue', 'Black']", "sizes": "['28/30', '30/32', '32/34', '34/34']", "sustainability_flags": "['Organic Cotton']"
| # | product_id | sku | title | brand | category | gender |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from aboutyou.com. All fields typed and schema-versioned.
"product_id": "AY-10948", "size": "32/34", "colour": "Light Blue", "price": 75.9, "original_price": 89.9, "discount_pct": 15, "in_stock": true, "region": "DE", "currency": "EUR"
| # | product_id | size | colour | price | original_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Brands & Categories objects from aboutyou.com. All fields typed and schema-versioned.
"brand_id": "BR-452", "brand_name": "Nike", "category_path": "Women > Shoes > Sneakers", "gender_target": "Women", "product_count": 1420, "sale_items_count": 312, "brand_url": "https://www.aboutyou.com/about/brand/nike"
| # | brand_id | brand_name | category_path | gender_target | product_count | active_campaigns |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our scraper navigates About You's dynamic front-end, capturing variant-level stock, multi-region pricing, and deep category hierarchies — bypassing bot defences automatically.
Sizes, colours, and SKUs mapped accurately to the parent product, ensuring no variant data is orphaned.
Capture pricing across DE, AT, CH, NL, and other regional domains by managing locale headers and session state.
Monitor low stock warnings, out-of-stock sizes, and delivery timeframes at the variant level.
Extract fabric composition, care instructions, and eco-friendly badges assigned to specific products.
Pull complete brand lists, total product counts, and active promotional campaigns directly from brand hubs.
Track markdowns, campaign-specific pricing, and historical price changes to map discount strategies.
Brief in. Clean data out.
Provide target brands, categories, or specific URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, European proxy rotation, and session management for aboutyou.com.
Schema validation, null-rate checks, and variant mapping tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern fashion aggregators rely heavily on client-side rendering and API rate limits. Here is how our infrastructure maintains constant throughput.
We utilise European ISP residential proxies with realistic browser fingerprints and randomised request timing to navigate bot protections without triggering blocklists.
About You is a React-heavy single-page application. We run full Playwright browser sessions to trigger lazy-loaded images and hydrate dynamic pricing widgets.
We extract sizing and colour data directly from the Next.js hydration state embedded in the page source, ensuring complete accuracy across all product variants.
Pricing changes based on IP and locale headers. We strictly route requests through region-specific proxies (e.g., DE for aboutyou.de) to maintain pricing integrity.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops — responding before you notice.
Fashion retailers track pricing, markdowns, and promotional windows to adjust their own pricing strategies.
Merchandisers map About You's brand coverage and category depth to identify missing inventory in their own catalogues.
Analysts track new arrivals, category growth, and out-of-stock velocity to predict upcoming fashion trends.
Apparel brands monitor their own products to ensure correct pricing, image usage, and stock availability across European markets.
Researchers extract eco-badges and material composition data to audit the sustainability claims of major fashion platforms.
ML teams use product images, descriptions, and category metadata to train computer vision and recommendation engines.
"About You holds the pulse of European fashion retail — capturing its real-time pricing and sizing availability requires navigating complex dynamic state."
Extracting data from modern fashion aggregators is not about parsing HTML; it requires intercepting API payloads, managing regional session state, and rotating EU-based residential IP addresses. DataFlirt manages this pipeline end-to-end, delivering clean, normalised catalogues.
Everything supported by our aboutyou.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. 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 aboutyou.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and brand 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 route requests through region-specific residential proxies (e.g., German IPs for aboutyou.de) and manage locale headers to ensure the pricing extracted matches the target country exactly.
Yes. We extract the full variant matrix from the page's hydration state, mapping every available size and colour back to the parent product ID.
Stock status is captured at the time of the crawl. For high-velocity items, we can configure pipelines to run at hourly intervals to track availability changes closely.
Yes. We extract material composition, care instructions, and any eco-friendly or sustainability badges displayed on the product page.
Absolutely. We provide a sample run of up to 500 products as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off brand catalogue dump or a continuous price-monitoring feed across 500K SKUs — we scope, build, and operate the pipeline. Tell us what you need.
