We extract product specifications, dimensions, collection mapping, upholstery options, and dealer networks from Hooker Furniture. 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 hookerfurniture.com. All fields typed and schema-versioned.
"sku": "5960-10458-MULTI", "product_name": "Commerce & Market Accent Chest", "collection_name": "Commerce & Market", "category": "Living Room", "materials": "Mango Wood, Iron, Bone", "dimensions_inch": "36W x 16D x 34H", "weight_lbs": 92.4, "upc": "793532541829"
| # | sku | product_name | collection_name | category | sub_category | style |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Collections objects from hookerfurniture.com. All fields typed and schema-versioned.
"collection_name": "Charleston", "brand": "Hooker Furniture", "style_category": "Traditional", "total_pieces": 45, "active_status": true, "hero_image_url": "https://example.com/assets/charleston-hero.jpg"
| # | collection_id | collection_name | brand | designer | style_category | total_pieces |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Finishes objects from hookerfurniture.com. All fields typed and schema-versioned.
"sku": "5960-10458-MULTI", "finish_name": "Vintage Brown", "wood_species": "Mango Solid", "hardware_finish": "Antique Brass", "swatch_image_url": "https://example.com/swatches/vintage-brown.jpg", "is_customizable": false
| # | sku | finish_name | finish_description | wood_species | fabric_grade | fabric_content |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Network objects from hookerfurniture.com. All fields typed and schema-versioned.
"store_name": "High Point Furniture Market", "city": "High Point", "state": "NC", "zip_code": "27260", "latitude": 35.9556, "longitude": -80.0053, "brands_carried": "['Hooker Furniture', 'Sam Moore', 'Bradington-Young']"
| # | dealer_id | store_name | address_line1 | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Asset Library objects from hookerfurniture.com. All fields typed and schema-versioned.
"sku": "5960-10458-MULTI", "asset_type": "Product Silo", "image_url_highres": "https://example.com/images/5960-10458-MULTI_HR.jpg", "is_room_scene": false, "schematic_available": true, "alt_text": "Commerce & Market Accent Chest Front View"
| # | sku | asset_id | asset_type | image_url_highres | image_url_thumbnail | alt_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper parses complex product schemas, nested collection hierarchies, and heavy visual assets directly from hookerfurniture.com, standardising the output for your data warehouse.
Capture dimensions, weight, volume, materials, and UPCs for every individual product SKU across all categories.
Maintain parent-child relationships between overarching collections (e.g. Charleston, Melange) and their constituent pieces.
Extract wood species, fabric contents, cleaning codes, and hardware specifications linked to specific SKUs.
Parse the internal dealer locator API to extract store names, coordinates, contact details, and authorised brands.
Extract URLs for high-resolution product silos, lifestyle room scenes, and technical schematics without triggering timeouts.
Automatically categorise products by sub-brand, including Sam Moore, Bradington-Young, and MARQ.
Parse raw dimension strings into structured numeric fields for width, depth, and height in both inches and centimetres.
Monitor the catalogue over time to flag SKUs that have been removed or marked as discontinued.
Run daily or weekly diffs to capture new product launches and specification changes without re-scraping the entire site.
Brief in. Clean data out.
Specify categories, collections, or dealer regions. We design the extraction schema to match your data model.
We configure Scrapy / Playwright crawlers to handle the site's pagination, JavaScript rendering, and asset loading.
Schema validation, dimension parsing checks, and null-rate monitoring before full production launch.
Structured records pushed to your S3 bucket, BigQuery dataset, or via Webhook on an agreed schedule.
Extracting data from high-end furniture sites involves parsing unstructured text, managing heavy image payloads, and mapping complex variations. Here is how we build it.
Furniture dimensions are often stored as unstructured strings (e.g. '36W x 16D x 34H'). Our pipeline uses regex-based parsers to extract strict numeric values for width, depth, height, and weight, ensuring the data is immediately queryable in your warehouse.
High-end furniture sites serve massive image files. We intercept network requests to extract the underlying high-resolution CDN URLs without downloading the full payload during the crawl, keeping pipeline latency low.
Store locators rely on backend APIs that require specific geospatial parameters. We reverse-engineer these endpoints to systematically extract the entire dealer database, bypassing frontend map interface limitations.
Products do not exist in isolation. We maintain foreign-key relationships between individual SKUs and their parent collections, allowing you to reconstruct the exact catalogue hierarchy in your own database.
Upholstery options and finish variants are often rendered dynamically via JavaScript. We use Playwright to execute these scripts and capture all possible SKU combinations before extraction.
Furniture manufacturers track new collection launches, material usage trends, and dimension standards across the Hooker catalogue.
Design platforms ingest structured product specifications and 3D schematics to populate their own planning software.
Market analysts map the spatial distribution of authorised dealers to understand regional market penetration.
Logistics firms analyse product weights, volumes, and origin data to model warehousing and freight requirements.
Machine learning teams use the high-resolution room scenes and product silos to train interior design classification models.
Authorised retailers automate the ingestion of product descriptions, dimensions, and images into their own storefronts.
"A high-end furniture catalogue contains thousands of data points on materials, dimensions, and collections. We turn that visual storefront into a strict relational database."
Scraping furniture sites requires more than simple HTML parsing. It requires normalising unstructured dimension strings, mapping complex parent-child collection relationships, and intercepting hidden API endpoints for dealer locations. DataFlirt handles this standardisation at the extraction layer.
Everything supported by our hookerfurniture.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 product variants and finish selections.
Custom Python middleware parses unstructured dimension strings, weight formats, and material descriptions into strict numeric and categorical types.
Pipelines run on Kubernetes clusters. Airflow manages scheduling and dependencies, pushing clean records directly to your S3 bucket or data warehouse.
Data delivered to where your team already works — no new tooling required.
About hookerfurniture.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product catalogues, dimensions, and dealer locations is generally permissible for non-competitive internal analysis. DataFlirt targets only public, non-authenticated pages. We do not extract personal data or bypass B2B authentication walls. Clients must review their own use cases against applicable laws.
We extract the direct CDN URLs for all high-resolution assets, including product silos, swatches, and room scenes. We deliver the URLs rather than the binary files to keep pipeline delivery fast and storage costs low.
Furniture dimensions are often written as '36W x 16D x 34H'. Our parsing engine uses regular expressions to extract these into separate numeric columns (width_inch: 36.0, depth_inch: 16.0, height_inch: 34.0) so they are immediately useful for analysis.
No. Wholesale pricing and live factory inventory on hookerfurniture.com are gated behind an authenticated dealer portal. We only extract data available on the public-facing retail site.
Yes. The pipeline captures products across all associated sub-brands listed on the main site, including Sam Moore, Bradington-Young, and MARQ, tagging each record with its respective brand identifier.
We typically run full catalogue refreshes on a weekly or monthly cadence, depending on your requirements. The pipeline uses change detection to flag new collections or discontinued SKUs.
Yes. We provide a sample extraction of a specific collection or category to validate our dimension parsing and schema design before you commit to a full pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous tracking of new collections and dealer locations, we build and operate the infrastructure. Contact us to define your schema.
