We extract designer catalogues, pricing tiers, sizing availability, and exclusive drops from Luisaviaroma. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Catalogue objects from luisaviaroma.com. All fields typed and schema-versioned.
"product_id": "77I-G24001", "brand_name": "Balenciaga", "product_name": "Track Logo Mesh Sneakers", "department": "Men", "base_price": 895.0, "currency": "EUR", "made_in": "China"
| # | product_id | designer_id | brand_name | product_name | department | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promos objects from luisaviaroma.com. All fields typed and schema-versioned.
"product_id": "77I-G24001", "base_price": 895.0, "discount_price": 716.0, "discount_pct": 20, "promo_eligible": true, "currency": "EUR", "region": "IT"
| # | product_id | base_price | retail_price | discount_price | discount_pct | promo_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sizing & Stock objects from luisaviaroma.com. All fields typed and schema-versioned.
"product_id": "77I-G24001", "size_system": "IT", "size_value": "42", "in_stock": true, "low_stock_warning": true, "stock_quantity": 2, "sku": "77I-G24001-42"
| # | product_id | brand_name | size_system | size_value | in_stock | stock_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Details objects from luisaviaroma.com. All fields typed and schema-versioned.
"product_id": "77I-G24001", "main_material": "Polyurethane, Polyester", "designer_color": "White/Orange", "fit_type": "True to size", "origin_country": "China", "season_code": "SS24"
| # | product_id | main_material | composition_pct | care_instructions | fit_type | model_measurements |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Taxonomy objects from luisaviaroma.com. All fields typed and schema-versioned.
"keyword": "chunky sneakers", "department": "Men", "category": "Shoes", "position": 3, "product_id": "77I-G24001", "is_exclusive": false, "is_preorder": false
| # | keyword | department | category | subcategory | position | product_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Luisaviaroma pipeline handles complex category trees, dynamic size grids, regional pricing variations, and aggressive anti-bot measures to deliver structured apparel data.
Extract complete brand collections, including product names, descriptions, materials, and high-resolution image arrays.
Capture geo-specific pricing, duties, and currency variations by routing requests through regional proxy pools.
Monitor size-level availability, low stock warnings, and back-in-stock indicators across thousands of SKUs.
Track exclusive Sneaker Club releases, raffle timings, and limited edition drop data.
Identify pre-order items, expected shipping dates, and season codes for upcoming luxury collections.
Extract base prices, markdown percentages, and promotional eligibility flags for specific items.
Parse detailed material breakdowns, care instructions, and designer colour codes.
Map items precisely to their department, category, and subcategory paths for accurate assortment analysis.
Run daily or hourly pipelines with change-detection to capture only what has updated since the last crawl.
Brief in. Clean data out.
Provide target brands, categories, or specific URLs. We design the extraction schema together.
We configure crawlers, proxy rotation for regional pricing, and anti-bot circumvention for luisaviaroma.com.
Schema validation, null-rate checks, and data quality testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury retailers invest heavily in scraping detection and dynamic frontends. Here is how we stay resilient.
Luisaviaroma employs strict bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full TLS spoofing to maintain access.
Size availability and dynamic pricing are heavily JavaScript-rendered. We run full Playwright browser sessions to hydrate the DOM and capture data that headless HTTP clients miss entirely.
Prices vary significantly by shipping destination due to duties and local retail strategies. We route sessions through specific regional proxies to capture exact local pricing.
Our selector strategy uses multiple fallback chains per field - CSS selectors, XPath, and JSON state extraction - so a layout change does not break your data pipeline overnight.
For large designer catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Luxury retailers and boutiques monitor pricing, regional variations, and discount strategies to adjust their own positioning.
Merchandising teams analyse category depth, brand representation, and new arrivals to inform seasonal buying decisions.
Brands audit pricing and availability across regions to identify unauthorised discounting or parallel import activity.
Analysts track size-level stock depletion rates to estimate sales velocity for specific designers and product categories.
Consultancies aggregate catalogue data to track the performance and pricing architecture of major fashion houses over time.
Publishers sync product catalogues, imagery, and current pricing to power high-converting fashion aggregator sites.
"Luisaviaroma curates the pinnacle of luxury fashion, but extracting structured sizing, pricing, and composition data requires navigating aggressive anti-bot layers."
Luxury eCommerce platforms employ sophisticated bot mitigation and complex JavaScript-rendered size grids. DataFlirt handles the proxy rotation, session management, and DOM parsing so your team receives clean, structured catalogue data ready for immediate analysis. We manage the infrastructure entirely.
Everything supported by our luisaviaroma.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 and deduplication. Playwright handles JavaScript rendering, cookie sessions, and size grid interaction flows.
We maintain pools of residential ISP proxies across global regions to ensure accurate local pricing and avoid bot detection blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About luisaviaroma.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail sites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and availability data. We do not extract personal data or circumvent authentication walls. Clients should review site Terms of Service and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for block rate spikes in real time and trigger pool rotation automatically.
Yes. We can configure pipelines to route through specific regional proxies (e.g., US, UK, EU, APAC) to capture the exact local pricing, currency, and duty-inclusive amounts displayed to users in those regions.
Yes. We extract the full size grid for every product, including in-stock status, low stock warnings, and SKU-level identifiers where available.
Yes. We can monitor the specific sections and metadata associated with Sneaker Club drops, including release timings and product details.
Our smallest packages start at a defined brand list or category subset with weekly delivery. For full catalogue tracking or custom schema requirements, we price based on volume and delivery frequency.
Full catalogue refreshes at a daily cadence complete within a defined window. For specific high-priority categories or sale sections, we can configure hourly pipelines.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across thousands of designer SKUs, we scope, build, and operate the pipeline. Tell us what you need.
