We extract product specifications, fabric permutations, dimensions, and collection metadata from universalfurniture.com. Delivered as clean JSON or Parquet to S3.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Metadata objects from universalfurniture.com. All fields typed and schema-versioned.
"sku": "803110", "product_name": "Modern Bed", "collection": "Modern", "room_type": "Bedroom", "designer": "Miranda Kerr Home", "style": "Contemporary", "material": "Wood"
| # | sku | product_name | collection | room_type | designer | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dimensions & Specs objects from universalfurniture.com. All fields typed and schema-versioned.
"sku": "803110", "width_in": 64.0, "depth_in": 88.0, "height_in": 56.0, "weight_lbs": 145.5, "volume_cbf": 24.2
| # | sku | width_in | depth_in | height_in | weight_lbs | volume_cbf |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fabrics & Finishes objects from universalfurniture.com. All fields typed and schema-versioned.
"sku": "803110", "finish_name": "Alabaster", "finish_code": "ALB", "fabric_grade": "Grade A", "fabric_name": "Linen Sand", "fabric_content": "100% Linen", "cleaning_code": "S"
| # | sku | finish_name | finish_code | fabric_grade | fabric_name | fabric_content |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Assets & Media objects from universalfurniture.com. All fields typed and schema-versioned.
"sku": "803110", "primary_image": "https://cdn.universalfurniture.com/img1.jpg", "gallery_images": "['img2.jpg', 'img3.jpg']", "tear_sheet_pdf": "https://cdn.universalfurniture.com/specs/803110.pdf", "ar_model_ios": "model.usdz", "assembly_instructions_pdf": "https://cdn.universalfurniture.com/assembly/803110.pdf"
| # | sku | primary_image | gallery_images | lifestyle_images | tear_sheet_pdf | assembly_instructions_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealers & Stockists objects from universalfurniture.com. All fields typed and schema-versioned.
"dealer_id": "D-4821", "dealer_name": "High Point Interiors", "city": "High Point", "state": "NC", "zip_code": "27260", "phone": "555-0192", "latitude": 35.9556, "longitude": -80.0053
| # | dealer_id | dealer_name | dealer_type | address_line_1 | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Universal Furniture scraper handles complex matrix data, extracting every base SKU, finish permutation, and dimensional metric directly into your warehouse.
Extract base SKUs, product names, collection mapping, and room categorisation across all furniture categories.
Capture precise width, depth, height, weight, and cubic volume metrics for freight and space planning models.
Scrape all available finish options, fabric grades, material compositions, and cleaning codes linked to specific SKUs.
Extract URLs for primary imagery, lifestyle gallery photos, 3D AR models, and downloadable tear sheets.
Map products to specific designer collaborations like Miranda Kerr Home or Coastal Living with associated stylistic metadata.
Extract retail partner networks, trade showrooms, geographic coordinates, and contact information globally.
Parse specific cleaning instructions, material care guidelines, and warranty documentation links per item.
Capture cross-merchandising data linking dining chairs to tables, or nightstands to specific bed frames.
Identify and download technical specification sheets and assembly instruction PDFs directly to your S3 bucket.
Monitor the site for new collection drops or discontinued SKUs and push only the differential changes.
Brief in. Clean data out.
Provide target collections, room categories, or dealer regions. We design the extraction schema.
We configure Scrapy crawlers, handle image CDNs, and bypass basic anti-bot measures.
Schema validation, missing dimension checks, and asset URL verification before launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on an agreed cadence.
Furniture catalogues contain complex matrix data and heavy media assets. Here is how we ensure reliable extraction.
Furniture SKUs often have dozens of fabric and finish combinations. We execute JavaScript to iterate through these option matrices, capturing the specific SKU modifier and swatch image for every permutation.
Universal Furniture relies on CDNs for heavy imagery and 3D models. We parse the underlying JSON responses and image source sets to extract the highest resolution files without triggering rate limits.
Critical dimensional data is sometimes locked in tear sheet PDFs. We identify these links, download the files, and can optionally run OCR or text extraction to normalise the specifications into your database.
Store locators restrict results via radius limits. We use coordinate grids and systematic zip code polling to extract the complete national dealer network without hitting API pagination caps.
Inconsistent formatting in descriptions is parsed and converted into strict numerical fields for immediate use in your inventory systems.
Retailers monitor Universal Furniture collections to benchmark their own product development, styling trends, and pricing strategies.
Design aggregators ingest 3D models, dimensions, and fabric swatches to populate their virtual room planning software.
Supply chain teams use accurate weight and cubic volume data to calculate shipping costs and optimise warehouse storage density.
Manufacturers scrape dealer locator data to map retail footprints, identify distribution gaps, and monitor wholesale partner overlap.
Analysts track the introduction of new materials, designer collaborations, and category expansions to predict macro furniture trends.
Large scale commercial buyers ingest catalogue data to automate their procurement systems and maintain up to date specification sheets.
"Universal Furniture provides a masterclass in structured product data, but extracting thousands of fabric permutations requires a purpose built pipeline."
Scraping furniture catalogues is rarely as simple as parsing HTML. The real value lies in the matrix data: the intersection of base SKUs, finish options, fabric grades, and high resolution assets. DataFlirt handles the complex JavaScript rendering required to expose these permutations, delivering a flat, queryable dataset ready for your ERP or design platform.
Everything supported by our universalfurniture.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 to expose dynamic fabric and finish matrices.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting for weekly catalogue refreshes.
Direct integration with S3 for storing high resolution imagery, 3D models, and PDF tear sheets alongside the structured JSON metadata.
Data delivered to where your team already works — no new tooling required.
About universalfurniture.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product catalogues, dimensions, and dealer locations is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal data or circumvent authentication walls.
Yes. We capture the direct CDN URLs for USDZ and GLTF files used in their augmented reality features, delivering them alongside the standard product metadata.
Our Playwright integration simulates user interaction with the fabric selection interface, iterating through all available grades and finishes to capture the complete configuration matrix for every base SKU.
We extract the direct URLs for all tear sheets and assembly instructions. We can either deliver these URLs in the dataset or configure the pipeline to download the files directly to your S3 bucket.
No. Wholesale pricing and live inventory levels on universalfurniture.com are gated behind a trade login. We only extract the publicly available retail information and product specifications.
For large furniture catalogues, we typically recommend a weekly or monthly refresh cadence to capture new collection drops and discontinued items, though daily runs are available if required.
Yes. We parse raw text strings into strict numerical columns to ensure the data is immediately usable for freight calculations and space planning.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extraction or continuous monitoring of new collections and dealer locations, we scope, build, and operate the pipeline. Tell us what you need.
