We extract luxury furniture catalogues, material variants, designer profiles, and technical specifications from Poltrona Frau. 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 Listings objects from poltronafrau.com. All fields typed and schema-versioned.
"product_id": "PF-10293", "name": "Vanity Fair XC", "designer": "Renzo Frau", "year_designed": "1930", "category": "Seating", "sub_category": "Armchairs", "dimensions": "W 94cm x D 91cm x H 99cm", "page_url": "https://www.poltronafrau.com/en/vanity-fair-xc"
| # | product_id | name | designer | year_designed | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Finishes objects from poltronafrau.com. All fields typed and schema-versioned.
"variant_id": "MAT-PF-SC-01", "product_id": "PF-10293", "material_type": "Leather", "collection_name": "Pelle Frau Color System", "colour_name": "SC 01 Avorio", "colour_code": "SC 01", "finish_type": "Matte", "image_url": "https://media.poltronafrau.com/materials/sc01.jpg"
| # | variant_id | product_id | material_type | collection_name | colour_name | colour_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designers objects from poltronafrau.com. All fields typed and schema-versioned.
"designer_id": "DES-004", "name": "Jean-Marie Massaud", "studio_name": "Studio Massaud", "bio": "French architect and designer known for his elegant and functional approach.", "product_count": 42, "profile_image_url": "https://media.poltronafrau.com/designers/massaud.jpg", "page_url": "https://www.poltronafrau.com/en/designers/jean-marie-massaud"
| # | designer_id | name | studio_name | bio | active_years | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Assets objects from poltronafrau.com. All fields typed and schema-versioned.
"asset_id": "AST-9921", "product_id": "PF-10293", "asset_type": "Technical Sheet", "file_format": "PDF", "file_size_kb": 2450, "language": "EN", "download_url": "https://media.poltronafrau.com/assets/vanity-fair-tech.pdf", "updated_at": "2025-11-04T10:00:00Z"
| # | asset_id | product_id | asset_type | file_format | file_size_kb | language |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Network objects from poltronafrau.com. All fields typed and schema-versioned.
"store_id": "STR-IT-01", "name": "Poltrona Frau Milano", "store_type": "Flagship Store", "address_line_1": "Via Alessandro Manzoni, 30", "city": "Milan", "country": "Italy", "postal_code": "20121", "phone": "+39 02 738192"
| # | store_id | name | store_type | address_line_1 | city | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our infrastructure parses complex visual configurators, extracts precise material matrices, and normalises technical specifications across the entire Poltrona Frau catalogue.
Extract every product, from iconic armchairs to automotive seating concepts, mapped to their respective designers and release years.
Capture the complete Color System, Soul, Century, and Safari leather variants, including exact colour codes and finish types.
Parse unstructured dimension strings into structured width, depth, height, and seat-height fields in metric and imperial units.
Extract URLs and metadata for PDF specification sheets, 2D DWG files, and 3D BIM models associated with each product.
Map products to their creators. Extract designer biographies, studio details, and complete portfolios within the brand ecosystem.
Extract region-specific catalogues to identify product availability and nomenclature differences across EU, US, and APAC markets.
Scrape the global store locator to extract flagship stores, authorised dealers, contact details, and precise geocoordinates.
Capture direct URLs for high-resolution lifestyle imagery, siloed product shots, and precise material swatches.
Run scheduled pipelines to detect new product launches, discontinued finishes, or updated technical documentation.
Brief in. Clean data out.
Select the target categories, regions, and required data points. We design the extraction schema for materials and dimensions.
We configure Playwright crawlers to handle the dynamic material configurators and parse technical specification structures.
Schema validation, null-rate checks on dimensional data, and colour code verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury furniture sites rely on heavy front-end frameworks and visual configurators. Here is how we extract structured data from visual interfaces.
Poltrona Frau uses dynamic JavaScript configurators for material selection. We run full Playwright browser sessions to iterate through every leather grade, fabric type, and wood finish, capturing the associated imagery and metadata.
Furniture dimensions are often presented as unstructured text blocks or embedded in images. Our parsers use regex patterns and DOM analysis to extract consistent W/D/H metrics across the entire catalogue.
Technical sheets and 3D models are frequently hosted on separate CDNs or loaded asynchronously. We intercept network requests to map the correct high-resolution assets and documentation to their parent products.
For seasonal catalogue updates, we maintain a hash index of last-seen values per product. Subsequent runs only push diffs, providing a clean changelog of new materials or discontinued lines.
Product availability varies by region. We route requests through residential proxies in specific target countries to capture the exact catalogue presented to local buyers.
Platforms ingest structured product and dimensional data to build comprehensive search engines for interior architects.
Luxury furniture brands track material offerings, colour trends, and designer collaborations to inform their own product development.
Architectural software providers index available 3D models and technical assets to populate their material libraries.
Market researchers map global flagship and dealer locations to understand retail expansion and regional market penetration.
Trend forecasters analyse the introduction and retirement of specific Pelle Frau colours and fabric grades over time.
Design historians and auction houses track historical product reissues, designer timelines, and original specification changes.
"Poltrona Frau's digital presence holds a century of Italian design history, but extracting structured material data and dimensional constraints requires purpose-built infrastructure."
Luxury furniture catalogues are notoriously difficult to parse. They rely heavily on visual configurators, complex material matrices, and unstructured technical PDFs. DataFlirt normalises this data into queryable schemas, extracting exact Pelle Frau colour codes, dimensional ranges, and designer metadata so your platform stays synced with their latest collections.
Everything supported by our poltronafrau.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 interaction flows required for visual configurators.
Dedicated workers resolve and validate CDN URLs for images and technical documents, ensuring zero broken links in the final dataset.
Pipelines run on AWS 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 poltronafrau.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline iterates through the JavaScript configurator to extract the name, code, and associated image URL for every material variant, including Pelle Frau Color System, fabrics, and wood finishes.
Poltrona Frau typically does not display direct consumer pricing on their global site, often directing users to local dealers or gating trade pricing behind logins. We extract all publicly available data, but we do not bypass authenticated trade portals.
We parse the dimension strings provided on product pages and normalise them into structured fields (width, depth, height, seat height) to ensure they are immediately queryable in your database.
We extract the direct download URLs and metadata (file size, format, version) for all public technical assets. We can optionally configure the pipeline to download and push these files directly to your S3 bucket.
For furniture catalogues, weekly or monthly cadences are standard. We can configure the pipeline to run at your preferred frequency, using change detection to highlight new additions.
Yes. We can target specific regional subdirectories (e.g., /en, /it, /fr) to extract localised product descriptions and names.
Our minimum engagement covers the setup and ongoing maintenance of the product and material extraction pipeline. Contact us to define the exact scope and delivery cadence.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extraction or continuous tracking of material variants and technical assets. Tell us what you need.
