We extract luxury furniture catalogues, fabric grades, finish variants, and design center locations from Ethan Allen. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Furniture Listings objects from ethanallen.com. All fields typed and schema-versioned.
"sku": "207313", "name": "Marcus Sofa", "category": "Living Room", "base_price": 2400.0, "collection": "Marcus", "dimensions": "86"w x 39"d x 36"h"
| # | sku | name | category | sub_category | base_price | collection |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Fabric Options objects from ethanallen.com. All fields typed and schema-versioned.
"sku": "207313_FAB_A", "parent_sku": "207313", "material_type": "Fabric", "grade": "F", "colour_family": "Blue", "price_modifier": 450.0
| # | sku | parent_sku | material_type | grade | colour_family | pattern |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Finish Variants objects from ethanallen.com. All fields typed and schema-versioned.
"sku": "207313_FIN_W", "parent_sku": "207313", "finish_name": "Caraway", "finish_type": "Wood", "wood_species": "Maple", "price_modifier": 0.0
| # | sku | parent_sku | finish_name | finish_type | wood_species | price_modifier |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Design Centers objects from ethanallen.com. All fields typed and schema-versioned.
"store_id": "EA_042", "name": "Manhattan Design Center", "city": "New York", "state": "NY", "zip": "10022", "phone": "212-555-0199"
| # | store_id | name | address | city | state | zip |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for 3D Assets objects from ethanallen.com. All fields typed and schema-versioned.
"sku": "207313", "asset_id": "3D_207313_V2", "model_3d_url": "https://assets.ethanallen.com/models/207313.glb", "scale_x": 86.0, "scale_y": 36.0, "scale_z": 39.0
| # | sku | asset_id | model_3d_url | texture_map_url | scale_x | scale_y |
|---|---|---|---|---|---|---|
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Our Ethan Allen scraper handles every layer of the platform: base product listings, dynamic configuration pricing, fabric grades, wood finishes, and high-resolution visual assets.
Capture base products, collections, dimensions, materials, and care instructions across all living, dining, and bedroom categories.
Extract the dynamic pricing matrix for custom configurations, calculating the final price based on base model plus fabric and finish selections.
Map every available upholstery option to its corresponding grade, colour family, and price modifier.
Extract wood species, finish types, and associated price deltas for customisable casegoods and accent pieces.
Extract URLs for high-resolution product imagery, detail shots, and room scenes associated with each SKU.
Locate and extract 3D model files (GLB/GLTF) and texture maps used in the Ethan Allen 3D Room Planner.
Scrape store locations, contact details, operating hours, and available design services across the retail network.
Parse unstructured dimension strings into structured width, depth, and height fields for spatial analysis.
Map individual SKUs to their parent collections and curated room concepts for cross-merchandising insights.
Brief in. Clean data out.
Provide categories, specific collections, or geographic regions for store data. We design the extraction schema together.
We configure Playwright crawlers to interact with the Ethan Allen product configurator, capturing all variant states.
Schema validation, null-rate checks, and configuration price-match verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting custom furniture data requires stateful interaction with product configurators. Here is how we manage the complexity.
Ethan Allen's pricing relies on client-side JavaScript configurators. We use Playwright to systematically select every fabric grade and wood finish combination, capturing the resulting price delta and updated image assets.
We intercept network requests to extract the raw URLs for high-resolution imagery and 3D room planner assets, bypassing the limitations of standard DOM scraping.
We use residential ISP proxies with realistic browser fingerprints and full cookie session management to ensure uninterrupted access to the catalogue.
Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and JSON-LD extraction — ensuring pipeline stability across site updates.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Luxury furniture retailers monitor Ethan Allen's base and configured pricing to adjust their own promotional strategies and margin targets.
Design platforms aggregate Ethan Allen product specifications and 3D assets to populate their own room planning software.
Spatial computing companies extract structured dimension data and 3D models to train augmented reality placement algorithms.
Analysts track the introduction of new fabric grades, colour families, and collections to identify shifts in luxury home decor trends.
Manufacturers analyse material usage (wood species, fabric types) across the catalogue to forecast raw material demand.
Commercial real estate firms track the opening and closing of Ethan Allen Design Centers to gauge regional luxury retail health.
"Ethan Allen's catalogue represents the pinnacle of configurable luxury furniture, but extracting the true pricing matrix requires mapping thousands of fabric and finish permutations."
Most teams fail to capture the complexity of custom furniture data. Scraping Ethan Allen requires deep traversal of product configurators, capturing price deltas for every Grade F fabric or custom wood finish. DataFlirt manages this stateful extraction, delivering a normalised matrix of every possible SKU permutation directly to your warehouse.
Everything supported by our ethanallen.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 the stateful interaction required to iterate through Ethan Allen's product configurators.
We maintain pools of residential ISP proxies to ensure reliable access to the catalogue without triggering rate limits or security blocks.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About ethanallen.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our Playwright crawlers interact with the product configurator to select every available option, capturing the final calculated price for each specific permutation.
Yes. We intercept the network requests made by the 3D viewer to extract the URLs for the underlying GLB/GLTF model files and their associated texture maps.
For a catalogue of Ethan Allen's size, we typically run weekly or daily refreshes depending on your requirements. The pipeline completes a full run within a few hours.
Yes. We parse the unstructured dimension strings (e.g., '86"w x 39"d x 36"h') into structured numerical fields for width, depth, and height to facilitate spatial database queries.
We capture all items currently visible on the active site. If an item is removed from the active catalogue, our change detection system will flag it as no longer present in the diff output.
No. Extracting trade pricing requires authenticated access using approved interior designer credentials, which falls outside our standard public data extraction scope.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous tracking of custom configuration pricing — we scope, build, and operate the pipeline. Tell us what you need.
