We extract product specifications, material compositions, CAD/BIM metadata, designer profiles, and brand catalogues from Architonic. 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 Specifications objects from architonic.com. All fields typed and schema-versioned.
"product_id": "8201934", "product_name": "Barcelona Chair", "brand_name": "Knoll", "designer_name": "Ludwig Mies van der Rohe", "category": "Furniture", "materials": "['Leather', 'Steel']", "cad_available": true
| # | product_id | product_name | brand_name | designer_name | category | sub_category |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Brand Catalogues objects from architonic.com. All fields typed and schema-versioned.
"brand_id": "4100293", "brand_name": "Vitra", "country": "Switzerland", "product_count": 412, "established_year": 1950, "website": "vitra.com", "designer_count": 84
| # | brand_id | brand_name | country | website | description | product_count |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Designer Profiles objects from architonic.com. All fields typed and schema-versioned.
"designer_id": "7100342", "designer_name": "Patricia Urquiola", "studio_name": "Studio Urquiola", "country": "Italy", "product_count": 156, "brand_collaborations": "['Moroso', 'B&B Italia', 'Flos']", "awards": "['Designer of the Decade']"
| # | designer_id | designer_name | studio_name | country | biography | product_count |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Materials Data objects from architonic.com. All fields typed and schema-versioned.
"material_id": "9200114", "material_name": "Kvadrat Divina 3", "manufacturer": "Kvadrat", "application_area": "Upholstery", "composition": "100% New wool", "fire_resistance": "EN 1021-1/2", "sustainability_certifications": "['EU Ecolabel', 'Greenguard Gold']"
| # | material_id | material_name | manufacturer | application_area | composition | sustainability_certifications |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Architecture Projects objects from architonic.com. All fields typed and schema-versioned.
"project_id": "5300991", "project_name": "Elbphilharmonie", "architectural_firm": "Herzog & de Meuron", "location": "Hamburg, Germany", "completion_year": 2017, "building_type": "Cultural", "products_used": "['Kvadrat Soft Cells', 'Vitra Eames Plastic Chair']"
| # | project_id | project_name | architectural_firm | location | completion_year | building_type |
|---|---|---|---|---|---|---|
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Our Architonic scraper captures every relational layer of the platform: product specifications, brand catalogues, designer portfolios, and material compositions. Built with full JavaScript rendering and automated pagination.
Extract dimensions, category classifications, launch years, and descriptive text for hundreds of thousands of furniture and lighting products.
Map complete manufacturer catalogues, including dealer network counts, designer collaborations, and company metadata.
Capture designer biographies, studio locations, awards, and the exact products they have designed across multiple brands.
Extract technical data on textiles, surfaces, and acoustic panels, including composition percentages and fire resistance ratings.
Identify which products offer downloadable 2D/3D CAD models and BIM objects for architectural planning.
Scrape case studies and architectural projects, including the specific Architonic products used in each building.
Target specific regional versions of Architonic to extract descriptions and metadata in English, German, French, or Italian.
Capture direct URLs for high-resolution product photography, material swatches, and lifestyle imagery.
Run recurring pipelines to capture new product launches, brand additions, and updated material specifications automatically.
Brief in. Clean data out.
Select target categories, specific brands, or designer portfolios. We map the required schema and language preferences.
We configure Playwright crawlers to handle Architonic's dynamic grids, lazy-loaded images, and relational linking.
Schema validation ensures accurate mapping between products, designers, and brands without data loss.
Data is pushed as JSON, CSV, or Parquet to your S3 bucket, data lake, or delivered via API.
Extracting relational design data requires navigating modern frontend frameworks and strict rate limits.
Architonic relies heavily on infinite scrolling grids and lazy-loaded assets. Our Playwright instances simulate human scrolling and wait for DOM hydration, ensuring no products or images are missed during extraction.
A single product links to a designer, a brand, and multiple material variants. We maintain these relational IDs during extraction, allowing you to reconstruct the exact graph in your SQL database.
Architonic limits request velocity to protect its catalogue. We distribute requests across European residential proxy pools and implement exponential backoff, mimicking legitimate browsing patterns to avoid IP bans.
Products often appear across the EN, DE, and FR versions of the site. We use internal Architonic IDs to deduplicate records, ensuring you receive a single normalised product entry with localised text fields.
Thumbnail grids only expose compressed images. Our crawlers interact with image galleries to extract the source URLs for high-resolution product and lifestyle photography.
Furniture retailers and distributors monitor brand catalogues to identify new product launches and expand their own assortments.
Design brands track competitor product specifications, material usage, and designer collaborations to inform product development.
Architectural firms build internal material libraries by extracting technical specifications and sustainability certifications.
Industry analysts track trends in materials, colours, and product categories across the global design sector.
B2B sales teams extract dealer networks and architectural firm data to target specific showrooms and specifiers.
Machine learning teams use structured product metadata and high-resolution imagery to train visual recognition models for interior design.
"Architonic holds the definitive graph of global design: products, brands, and designers. Querying it requires purpose-built extraction infrastructure."
Scraping Architonic requires navigating heavy JavaScript rendering, infinite scrolling product grids, and complex relational data linking designers to manufacturers. DataFlirt manages the proxy rotation, headless browsers, and schema validation so your data engineering team receives clean, warehouse-ready records.
Everything supported by our architonic.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 manages JavaScript execution, infinite scroll triggers, and dynamic DOM hydration.
We route requests through European residential ISP proxies to avoid IP bans and ensure uninterrupted access to the Architonic catalogue.
Pipelines run on Kubernetes and AWS Lambda. Airflow manages scheduling and dependencies, ensuring reliable data delivery.
Data delivered to where your team already works — no new tooling required.
About architonic.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product specifications and brand data is generally permissible. We do not bypass authentication walls or extract proprietary CAD/BIM files. Clients should consult their legal counsel regarding specific commercial use cases.
We use Playwright to execute JavaScript, simulate scrolling, and wait for network idle states. This ensures all lazy-loaded products and high-resolution images are fully rendered before extraction.
Yes. We can target specific language paths on Architonic to extract localised product descriptions, material names, and designer biographies.
No. Downloading these files typically requires an authenticated account and acceptance of specific license agreements. We extract the metadata indicating whether these files are available for a given product.
We can configure pipelines to run daily, weekly, or monthly. Our change detection system ensures you only receive data for new products or updated specifications, reducing processing overhead.
Yes. Our extraction schema preserves the relational links between products, their designers, and the manufacturing brands.
We provide the direct, uncompressed source URLs for all images. If required, we can also build a secondary pipeline to download these assets directly to your S3 bucket.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue dump or continuous monitoring of specific brands and designers. We build and operate the infrastructure. Tell us your requirements.