We extract product specifications, material finishes, designer profiles, and brand catalogues from Archiproducts. 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 Specifications objects from archiproducts.com. All fields typed and schema-versioned.
"product_id": "pr-892104", "name": "Camaleonda", "brand": "B&B Italia", "designer": "Mario Bellini", "category": "Furniture", "sub_category": "Sofas", "year_of_design": 1970, "bim_available": true
| # | product_id | url | name | brand | designer | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Brand Profiles objects from archiproducts.com. All fields typed and schema-versioned.
"brand_id": "br-4512", "name": "Flos", "country": "Italy", "product_count": 428, "designer_count": 34, "catalogues_available": 12, "dealer_count": 185
| # | brand_id | name | country | description | website | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Designer Intelligence objects from archiproducts.com. All fields typed and schema-versioned.
"designer_id": "ds-1102", "name": "Patricia Urquiola", "country": "Spain", "product_count": 312, "brand_collaborations": "['Cassina', 'Moroso', 'Kettal']", "awards_won": "['Archiproducts Design Award 2022']"
| # | designer_id | name | studio_name | country | biography | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Finishes objects from archiproducts.com. All fields typed and schema-versioned.
"product_id": "pr-892104", "base_material": "Fabric", "finish_type": "Boucle", "colour_name": "Enia 250", "texture_image_url": "https://img.archiproducts.com/textures/123.jpg", "eco_certification": "Oeko-Tex Standard 100"
| # | product_id | base_material | finish_type | colour_name | hex_code | texture_image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical & CAD objects from archiproducts.com. All fields typed and schema-versioned.
"product_id": "pr-892104", "has_2d_cad": true, "has_3d_model": true, "has_bim": true, "file_formats": "['DWG', 'RFA', 'OBJ']", "technical_sheet_url": "https://pdf.archiproducts.com/tech/456.pdf"
| # | product_id | has_2d_cad | has_3d_model | has_bim | file_formats | technical_sheet_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Archiproducts scraper captures the complex relational data between products, brands, designers, and materials. We handle the dynamic variant selectors and infinite scrolls automatically.
Extract categories, sub-categories, and product hierarchies across furniture, lighting, bathroom, and outdoor sections.
Capture base materials, finish types, colour variants, and texture image URLs for every product configuration.
Map products to their respective designers, manufacturing brands, and collections in a strictly normalised schema.
Flag the availability of 2D CAD files, 3D models, and BIM objects (Revit, ArchiCAD) for architectural planning.
Scrape dimensions, weights, mounting types, voltage requirements, and sustainability certifications.
Extract product descriptions and specifications across English, Italian, German, and French localisations.
Extract authorised dealer locations, showroom coordinates, and contact details linked to specific brands.
Track winners and nominees of the Archiproducts Design Awards across historical years and categories.
Run pipelines on a weekly or monthly cadence to capture new product launches and discontinued items.
Brief in. Clean data out.
Provide target categories, brands, or designer profiles. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handle Cloudflare challenges, and map the DOM structure.
Schema validation, null-rate checks, and relational integrity testing before the full production run.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Archiproducts relies on heavy frontend frameworks and aggressive bot protection. Here is how we maintain extraction reliability.
Archiproducts uses Cloudflare to block automated traffic. Our infrastructure uses residential Italian and EU proxies, realistic TLS fingerprints, and automated JS challenge solvers to maintain access.
Product pages load material and finish variants dynamically via JavaScript. We use full browser rendering to click through variant selectors and hydrate the DOM before extraction.
Category pages use infinite scrolling. We intercept underlying XHR/fetch requests to paginate through thousands of products efficiently without rendering unnecessary visual assets.
A single product references a brand, multiple designers, and several collections. We extract these entities into separate relational tables with foreign keys, preventing data duplication.
Design platforms update their UI frequently. We monitor selector failure rates in real time and trigger alerts when Archiproducts modifies its HTML structure, ensuring zero silent failures.
Furniture manufacturers monitor competitor product lines, material choices, and design trends to inform their own R&D.
B2B procurement platforms aggregate product specs to build unified search engines for architects and interior designers.
Design agencies track the adoption rates of specific materials, finishes, and sustainability certifications across new product launches.
Sales teams map brand distribution networks by scraping authorised dealer and showroom locations globally.
Machine learning teams use structured dimensional data and product metadata to train generative spatial planning models.
Construction firms ingest technical specifications and BIM availability flags directly into their ERP systems for project bidding.
"Archiproducts holds the definitive graph of global furniture design, but extracting relational data between brands, designers, and materials requires a dedicated pipeline."
Most teams fail to capture the nested complexity of architectural products. Reliable extraction requires handling infinite scrolls, dynamic variant loading, and strict rate limits. DataFlirt absorbs this infrastructure burden so your team can focus on catalogue analysis.
Everything supported by our archiproducts.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 for dynamic variant selectors and infinite scrolls.
We maintain pools of residential ISP proxies across EU regions to bypass geographical rate limits and Cloudflare blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State is stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About archiproducts.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information is generally permissible under applicable law. DataFlirt targets only public product specifications, brand data, and designer profiles. We do not extract personal data or circumvent authentication walls to download gated CAD files. Clients should consult legal counsel for their specific use cases.
Archiproducts uses Cloudflare. We utilise residential EU proxies, realistic browser fingerprints via Playwright, and request timing modelled on human behaviour to maintain consistent access without triggering blocks.
No. We extract the metadata indicating whether 2D CAD, 3D models, or BIM files are available for a product, along with their supported file formats. Downloading the actual files requires an authenticated professional account, which we do not automate.
Yes. Archiproducts supports multiple localisations. We can configure the pipeline to extract product names, descriptions, and specifications in English, Italian, German, French, or Spanish.
For full catalogue extractions, pipelines typically run on a weekly or monthly cadence. Delta runs can be configured to execute daily, capturing only newly added products or updated specifications.
Our minimum engagement covers the extraction of up to 50,000 product SKUs with weekly delivery. For full-site extraction across all categories, we price based on compute volume and relational schema complexity.
Yes. We provide a sample run of up to 500 products from a specific category or brand during the pre-engagement scoping phase. This allows you to validate schema fit and field completeness before signing a contract.
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 new furniture designs, we scope, build, and operate the pipeline. Tell us your requirements.
