We extract complex furniture configurations, fabric grades, dimensional data, and store-level pricing from bassettfurniture.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Base Products objects from bassettfurniture.com. All fields typed and schema-versioned.
"sku": "3948-62", "product_name": "Beckham Sofa", "collection": "Beckham", "category": "Living Room > Sofas", "base_price": 1899.0, "width_inches": 84, "depth_inches": 40, "height_inches": 37
| # | sku | product_name | collection | category | base_price | width_inches |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Custom Configurations objects from bassettfurniture.com. All fields typed and schema-versioned.
"base_sku": "3948-62", "variant_id": "3948-62-F829-W04", "fabric_name": "Performance Chenille", "fabric_grade": "Grade 3", "colour_family": "Grey", "wood_finish": "Walnut", "price_modifier": 300.0, "final_price": 2199.0
| # | base_sku | variant_id | fabric_name | fabric_grade | colour_family | wood_finish |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Inventory objects from bassettfurniture.com. All fields typed and schema-versioned.
"store_id": "ST-042", "store_name": "Bassett Furniture - Atlanta", "city": "Atlanta", "state": "GA", "zip_code": "30305", "floor_model_available": true, "local_delivery_fee": 149.0, "next_available_delivery": "2026-06-15"
| # | store_id | store_name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from bassettfurniture.com. All fields typed and schema-versioned.
"review_id": "REV-99382", "sku": "3948-62", "rating": 5, "review_title": "Perfect for our living room", "author_name": "Sarah J.", "review_date": "2026-02-14", "verified_buyer": true, "fabric_reviewed": "Performance Linen"
| # | review_id | sku | rating | review_title | review_body | author_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Care objects from bassettfurniture.com. All fields typed and schema-versioned.
"sku": "F829", "material_type": "Fabric", "composition": "100% Polyester", "cleaning_code": "W", "care_instructions": "Water-based cleaning agents only.", "durability_rating": "Heavy Duty", "pattern_repeat_vertical": "0.0", "origin_country": "USA"
| # | sku | material_type | composition | durability_rating | cleaning_code | care_instructions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Bassett Furniture relies on dynamic product configurators to display thousands of fabric and finish combinations. We intercept these API calls and render the JavaScript to extract every possible configuration, price tier, and dimensional specification.
Capture every combination of fabric, leather, wood finish, and cushion fill for custom upholstery pieces.
Extract base prices alongside fabric grade modifiers and promotional discounts applied at checkout.
Parse width, depth, height, arm height, and seat depth into clean numerical fields for spatial analysis.
Scrape floor model availability and delivery lead times across all physical Bassett retail locations.
Extract fabric composition, cleaning codes, durability ratings, and swatch image URLs.
Map modular sectional pieces (left-arm facing, corner, chaise) to their parent collections.
Extract customer ratings, review text, and verified buyer tags paginated across product pages.
Capture primary product images, room scenes, and specific fabric swatch URLs.
Run pipelines weekly or monthly to track catalogue additions, discontinued fabrics, and price changes.
Brief in. Clean data out.
Select target categories, collections, or specific configuration parameters required for your analysis.
We configure Playwright crawlers to interact with the Bassett configurator and extract the variant matrix.
Schema validation ensures fabric grades align with price modifiers and dimensions parse correctly.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from custom furniture retailers involves complex state management. Here is how we handle Bassett Furniture's dynamic configurator.
Bassett Furniture does not load all 400+ fabric options into the initial DOM. We intercept the backend API calls triggered by the customisation UI to extract the complete fabric catalogue and associated price modifiers without clicking every swatch manually.
Sectional sofas are built from multiple individual SKUs. Our pipeline maps the relationship between parent collections and modular components, ensuring you can reconstruct valid sofa configurations in your database.
Delivery times and floor model availability vary by region. We iterate through a defined list of US zip codes, setting the session location to extract accurate store-level data across the entire retail network.
Furniture dimensions are often listed as unstructured text strings. We parse these into separate, typed numerical fields for width, depth, and height, converting fractions to decimals for immediate analytical use.
Furniture retailers frequently update their fabric offerings. Our change detection system flags newly added fabrics and marks discontinued swatches, providing a clear view of assortment turnover.
Furniture retailers benchmark base prices and fabric grade modifiers against Bassett's custom upholstery offerings.
Merchandising teams analyse Bassett's collection structures and modular piece availability to inform their own product development.
Textile manufacturers track the introduction of performance fabrics and colour families across major retail catalogues.
Analysts monitor delivery lead times across different zip codes to gauge supply chain health and manufacturing backlogs.
Real estate and retail strategy teams map Bassett's physical store footprint and local inventory availability.
Machine learning teams use structured dimensional data, fabric swatches, and room scenes to train spatial planning models.
"Custom furniture data is multi-dimensional. A single sofa can have 400 fabric options and 4 wood finishes, each altering the final price and lead time."
Extracting data from bassettfurniture.com requires navigating complex product configurators and dynamic pricing models. DataFlirt intercepts API calls and renders JavaScript to capture the full variant matrix, ensuring your analysts get structured configuration data rather than unstructured web noise.
Everything supported by our bassettfurniture.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 manages the crawl across collections, while Playwright executes the JavaScript required to load the 3D configurator and intercept API responses.
We inject specific zip codes into the session cookies to extract accurate regional delivery times and store inventories across the US.
Pipelines run on AWS infrastructure, orchestrated by Apache Airflow to handle weekly catalogue refreshes and data normalisation tasks.
Data delivered to where your team already works — no new tooling required.
About bassettfurniture.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information, pricing, and store locations is generally permissible. DataFlirt extracts only public, non-authenticated catalogue data. We do not extract personal user data or circumvent authentication walls.
Instead of simulating thousands of clicks on the frontend UI, our Playwright scripts intercept the network requests made by the configurator. This allows us to extract the entire matrix of fabrics, finishes, and price modifiers efficiently.
Yes. We can configure the pipeline to iterate through a predefined list of zip codes to capture regional delivery lead times and local store floor model availability.
Yes. We parse unstructured dimension strings into clean, typed numerical fields (width, depth, height) to facilitate spatial analysis and database querying.
For furniture catalogues, we typically recommend weekly or monthly runs. This frequency is sufficient to capture new collection launches, price adjustments, and discontinued fabric options.
Yes. We extract URLs for primary product images, lifestyle room scenes, and individual fabric swatches. We can deliver the URLs or download the assets directly to your S3 bucket.
Our engagements start with a defined scope, such as extracting the complete living room seating catalogue across all fabric grades. Contact us to discuss your specific data requirements and frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous monitoring of fabric availability and pricing tiers, we handle the infrastructure. Tell us what you need.
