We extract product details, size availability, fabric compositions, and pricing from Desigual. Delivered as clean JSON, CSV, or Parquet to your infrastructure on your required cadence.
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 desigual.com. All fields typed and schema-versioned.
"product_id": "23SWVW21", "sku": "23SWVW212000", "title": "Christian Lacroix midi dress", "collection": "SS23", "designer_collaboration": "Christian Lacroix", "category": "Women", "sub_category": "Dresses", "care_instructions": "Machine wash cold"
| # | product_id | sku | title | collection | designer_collaboration | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from desigual.com. All fields typed and schema-versioned.
"sku": "23SWVW212000", "region": "ES", "currency": "EUR", "original_price": 129.95, "current_price": 89.95, "discount_percentage": 30, "in_stock": true, "available_sizes": "['S', 'M', 'L']"
| # | sku | region | currency | original_price | current_price | discount_percentage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Sustainability objects from desigual.com. All fields typed and schema-versioned.
"sku": "23SWVW212000", "outer_fabric_composition": "100% Viscose", "inner_fabric_composition": "100% Polyester", "sustainability_label": "Eco-Friendly", "eco_friendly": true, "recycled_materials_pct": 0, "origin_country": "Morocco"
| # | sku | outer_fabric_composition | inner_fabric_composition | sustainability_label | eco_friendly | recycled_materials_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Imagery objects from desigual.com. All fields typed and schema-versioned.
"sku": "23SWVW212000", "main_image_url": "https://desigual.com/media/23SWVW21.jpg", "gallery_urls": "['url1.jpg', 'url2.jpg']", "model_image_urls": "['model1.jpg', 'model2.jpg']", "image_count": 5, "alt_text": "Woman wearing Christian Lacroix midi dress", "video_url": "None"
| # | sku | main_image_url | gallery_urls | model_image_urls | product_only_image_urls | video_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Recommendations objects from desigual.com. All fields typed and schema-versioned.
"source_sku": "23SWVW212000", "recommended_sku": "23SWAX14", "recommendation_type": "Complete the look", "position": 1, "recommended_title": "Embroidered crossbody bag", "recommended_price": 59.95, "scraped_at": "2023-10-14T08:12:00Z"
| # | source_sku | recommended_sku | recommendation_type | position | recommended_title | recommended_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Desigual scraper navigates category trees, extracts variant-level stock data, and parses complex material compositions. We handle region-specific pricing and dynamic frontend rendering.
Capture every size and colour combination as distinct records mapped back to the parent product.
Extract prices in EUR, GBP, USD, and local currencies by routing requests through regional proxies.
Parse eco-friendly tags, recycled material percentages, and fabric compositions directly from product descriptions.
Monitor inventory levels per size and colour to detect low-stock warnings and out-of-stock statuses.
Extract CDN URLs for model shots, flat lays, and detail images at their maximum resolution.
Identify and categorise designer collaborations like Christian Lacroix or Stella Jean automatically.
Track original prices, current sale prices, and calculate exact discount percentages during promotional periods.
Extract 'Complete the look' and 'You might also like' product relationships to build recommendation graphs.
Maintain the exact breadcrumb trail and category taxonomy for accurate product classification.
Brief in. Clean data out.
Specify target regions, categories, or specific collections. We configure the extraction schema to match your data model.
We deploy Playwright crawlers with residential proxies to bypass regional blocks and render Desigual's dynamic frontend.
Automated tests verify price accuracy, size array completeness, and image URL resolution before the data leaves our network.
Structured data is written to your S3 bucket, Snowflake stage, or delivered via Webhook on your specified schedule.
Modern fashion retailers use dynamic rendering and aggressive CDN caching. We manage the infrastructure required to extract accurate data reliably.
Desigual loads product data, pricing, and stock asynchronously. We use Playwright to execute JavaScript, wait for network idle states, and intercept XHR responses containing the raw JSON product data.
Desigual serves different prices and catalogues based on IP location. We route requests through residential proxies in the target country to ensure you receive accurate local pricing and availability.
Fashion SKUs involve multi-dimensional matrices of sizes and colours. Our parsers flatten these structures into tabular formats, ensuring every distinct variant has its own row with accurate stock status.
Product images are served via CDN with dynamic sizing parameters. We parse the image URLs and modify the query strings to extract the maximum resolution assets required for computer vision models.
Retailers frequently update their frontend structures. We extract data primarily from intercepted API payloads rather than DOM scraping, resulting in a highly stable pipeline.
Fashion retailers track Desigual's pricing strategies, discount depths, and promotional calendars across different European markets.
Analysts monitor the introduction of new prints, colours, and silhouettes to identify emerging trends in the casual wear segment.
Researchers extract fabric compositions and eco-friendly tags to benchmark sustainability efforts across the apparel industry.
Machine learning teams use high-resolution product imagery and detailed textual descriptions to train visual search and tagging models.
Merchandisers analyse category depth, size availability, and product lifecycles to optimise their own inventory purchasing decisions.
Third-party sellers and distributors maintain accurate product catalogues by syncing descriptions, images, and specifications.
"Desigual's product catalogue contains rich data on fabric composition and sustainable materials. Accessing this requires a pipeline built for dynamic frontends."
Extracting data from modern apparel sites involves navigating JavaScript-heavy applications, intercepting API payloads, and managing regional pricing variations. DataFlirt handles the proxy rotation, headless browser execution, and schema normalisation. You receive clean, structured data ready for analysis.
Everything supported by our desigual.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.
We deploy Playwright clusters on Kubernetes to execute JavaScript, manage cookies, and intercept API responses from Desigual's dynamic frontend.
Requests are routed through residential IPs in specific target countries to bypass geo-blocks and capture accurate local pricing.
Raw JSON payloads are parsed, cleaned, and transformed into strict schemas using Python 3.12, ensuring consistent data types for your warehouse.
Data delivered to where your team already works — no new tooling required.
About desigual.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We use residential proxies located in your target regions to access Desigual.com. This ensures we capture the exact prices, currencies, and product availability presented to local consumers.
Our pipelines extract the full size array for each product. We map the availability status to each specific size, allowing you to track exactly which variants are in stock and which are depleted.
Yes. We identify the image CDN URLs and modify the query parameters to extract the highest resolution assets available, rather than the compressed thumbnails displayed on category pages.
Yes. We parse the product descriptions and technical specifications to extract material compositions, eco-friendly tags, and care instructions.
We support various schedules based on your requirements. Pricing and stock monitoring pipelines typically run daily or multiple times per day, while full catalogue refreshes often run weekly.
We flatten the data into a tabular format where each row represents a unique SKU variant (a specific colour and size combination), linked to a parent product ID. We can also deliver nested JSON formats if preferred.
20-minute scoping call. Pilot dataset within the week. Production within two. Specify your required categories, regions, and delivery frequency. We build and maintain the extraction infrastructure. Contact our engineering team to define your schema.
