We extract product specifications, material variants, designer collections, and pricing from Normann-Copenhagen. 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 Details objects from normann-copenhagen.com. All fields typed and schema-versioned.
"sku": "100234", "title": "Form Chair", "designer": "Simon Legald", "collection": "Form", "primary_material": "Polypropylene, Oak", "price": 240.0, "currency": "EUR"
| # | sku | title | designer | collection | dimensions | weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Variants & Colours objects from normann-copenhagen.com. All fields typed and schema-versioned.
"parent_sku": "100234", "variant_sku": "100234-BL", "colour_name": "Black", "colour_hex": "#000000", "material_finish": "Lacquered Oak", "stock_status": "In Stock"
| # | parent_sku | variant_sku | colour_name | colour_hex | material_finish | price_modifier |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Designers objects from normann-copenhagen.com. All fields typed and schema-versioned.
"designer_name": "Simon Legald", "country": "Denmark", "product_count": 42, "profile_image": "https://media.normann-copenhagen.com/designers/simon_legald.jpg", "page_url": "https://www.normann-copenhagen.com/en/Designers/Simon-Legald", "active_years": "2012-Present"
| # | designer_name | bio | country | active_years | product_count | collection_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from normann-copenhagen.com. All fields typed and schema-versioned.
"sku": "100234-BL", "retail_price": 240.0, "currency": "EUR", "in_stock": true, "lead_time_days": 14, "last_updated": "2026-05-12T09:14:00Z"
| # | sku | retail_price | currency | discount_pct | in_stock | lead_time_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Assets objects from normann-copenhagen.com. All fields typed and schema-versioned.
"sku": "100234", "image_urls": "['https://media.normann-copenhagen.com/products/100234_1.jpg']", "assembly_pdf_url": "https://media.normann-copenhagen.com/manuals/form_chair.pdf", "cad_model_url": "https://media.normann-copenhagen.com/3d/form_chair.dwg", "care_guide_url": "https://media.normann-copenhagen.com/guides/oak_care.pdf", "alt_text": "Form Chair by Simon Legald in Black"
| # | sku | image_urls | lifestyle_images | assembly_pdf_url | care_guide_url | cad_model_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complex variant matrices of high-end furniture retail, extracting precise material specifications, designer profiles, and 3D asset links with full JavaScript rendering.
Extract exact dimensions, weight, materials, and care instructions for every piece of furniture and accessory in the catalogue.
Capture the complete matrix of fabrics, frame colours, and sizes, including price modifiers for premium materials.
Scrape designer biographies, origin countries, and associated product collections to build complete creative graphs.
Monitor inventory status and estimated manufacturing lead times for made-to-order furniture pieces.
Collect URLs for packshots, lifestyle imagery, assembly manuals, care guides, and 2D/3D CAD models.
Extract B2C retail pricing across different regional storefronts and currencies, timestamped per crawl.
Map products to their exact position in the site hierarchy, from broad categories down to specific sub-collections.
Run continuous pipelines at daily or weekly cadences to detect new collection launches and price adjustments.
Receive clean diffs showing only what has changed since the last run, reducing downstream processing load.
Brief in. Clean data out.
Provide target categories, designer pages, or specific collections. We design the extraction schema together.
We configure Playwright crawlers, handle regional cookies, and map the complex variant selectors.
Schema validation, null-rate checks, and variant completeness testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from design brands requires handling deep variant trees and heavy visual assets. Here is how we build for reliability.
Modern eCommerce storefronts rely heavily on JavaScript for variant selection and dynamic pricing. We run full Playwright browser sessions to trigger lazy-loaded images and hydrate pricing widgets.
A single chair might have 5 frame colours and 20 fabric options. Our crawlers iterate through every valid combination in the frontend UI to extract the specific SKU, price modifier, and image for that exact configuration.
We specifically target the extraction of technical assets like assembly PDFs and CAD model links, which are critical for interior design aggregators and B2B procurement platforms.
Even standard retail sites employ rate limiting and bot protection. We use residential ISP proxies from EU pools with realistic request timing to ensure uninterrupted data extraction.
Retailers frequently update their frontend frameworks. We use multiple fallback chains per field, including structured data (LD+JSON) extraction, to maintain pipeline health during site redesigns.
Platforms aggregate product dimensions, 3D models, and variant data to build comprehensive digital libraries for architects and designers.
Furniture retailers track pricing strategies, discount depths, and shipping policies across premium European design brands.
Analysts track material trends, colour palettes, and new designer collaborations to forecast shifts in the interior design sector.
Procurement teams monitor lead times and stock availability across the catalogue to understand manufacturing bottlenecks.
ML teams use structured dimension data paired with high-resolution imagery and CAD files to train spatial and object recognition models.
Corporate buyers ingest structured product data into internal purchasing systems for office outfitting and commercial projects.
"Normann-Copenhagen holds a definitive catalogue of modern Danish design - extracting the exact material variants and dimensions requires a precise pipeline."
Most teams underestimate the complexity of scraping high-end furniture retailers. Variant matrices explode quickly when combining fabrics, frame colours, and sizes. DataFlirt handles the JavaScript rendering and nested variant mapping so your engineers can focus on ingestion, not crawler maintenance.
Everything supported by our normann-copenhagen.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 and variant UI interaction. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request to prevent IP bans and ensure consistent access to regional pricing.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state and historical diffs are stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About normann-copenhagen.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information, retail pricing, and dimensions is generally permissible. DataFlirt targets only public, non-authenticated B2C data. We do not extract personal user data or circumvent B2B authentication walls. Clients should consult legal counsel for specific commercial use cases.
Our Playwright crawlers interact with the frontend selectors, iterating through valid combinations of fabrics, colours, and sizes to extract the specific variant SKU, adjusted price, and corresponding image URL for each configuration.
No. Wholesale and trade pricing on Normann-Copenhagen requires a verified B2B account login. DataFlirt strictly extracts publicly available B2C retail pricing.
We extract the direct URLs to the 3D CAD models, assembly PDFs, and high-resolution images. We deliver these URLs in the structured dataset so your systems can download the assets directly.
For a catalogue of this size (approximately 3,000 base products and 18,000 variants), we typically run daily or weekly refreshes. Stock status and pricing can be monitored at a higher frequency if restricted to a specific subset of SKUs.
Yes. We provide a sample run of up to 100 base products and their associated variants during the scoping phase, allowing you to validate the schema and variant mapping logic before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous feed of product variants and stock status - we scope, build, and operate the pipeline. Tell us what you need.
