We extract base models, fabric variations, custom pricing, lead times, and modular configurations from Interior Define. 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 Base Models objects from interiordefine.com. All fields typed and schema-versioned.
"sku": "ID-SOFA-CHAISE-01", "title": "Charly Custom Sectional", "collection": "Charly", "category": "Sectionals", "base_price": 2495.0, "width_inches": 114, "depth_inches": 64, "cushion_fill_options": "['Standard', 'Down Alternative', 'Double Down']"
| # | sku | title | collection | category | base_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Configurations objects from interiordefine.com. All fields typed and schema-versioned.
"config_id": "ID-SOFA-CHAISE-01-VEL-BLU-BRS", "parent_sku": "ID-SOFA-CHAISE-01", "fabric_name": "Performance Velvet", "leg_finish": "Brushed Brass", "final_price": 2695.0, "lead_time_weeks_min": 18, "lead_time_weeks_max": 22, "in_stock_ready_to_ship": false
| # | config_id | parent_sku | fabric_id | fabric_name | leg_style | leg_finish |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Materials & Swatches objects from interiordefine.com. All fields typed and schema-versioned.
"fabric_id": "FAB-VEL-BLU", "material_type": "Performance Velvet", "colour_family": "Blue", "colour_name": "Sapphire", "durability_rating": "100,000 Double Rubs", "pet_friendly": true, "kid_friendly": true, "price_tier": "Tier 2"
| # | fabric_id | material_type | colour_family | colour_name | durability_rating | pet_friendly |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Modular Components objects from interiordefine.com. All fields typed and schema-versioned.
"component_sku": "ID-MOD-BUMPER-R", "parent_collection": "Tatum", "component_type": "Right Bumper", "orientation": "Right Facing", "standalone_price": 895.0, "width_inches": 36, "depth_inches": 36, "connector_type": "Alligator Clip"
| # | component_sku | parent_collection | component_type | orientation | standalone_price | width_inches |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews objects from interiordefine.com. All fields typed and schema-versioned.
"review_id": "REV-98231", "product_sku": "ID-SOFA-CHAISE-01", "rating": 5, "review_date": "2023-11-14", "verified_buyer": true, "fabric_purchased": "Performance Cross Weave - Natural", "helpful_votes": 12, "review_body": "The cushions are perfectly deep and the fabric holds up to our dog."
| # | review_id | product_sku | reviewer_name | rating | review_date | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Custom furniture introduces exponential variant complexity. Our pipeline resolves 3D configurator states, dynamic pricing rules, and component hierarchies into flattened, queryable records.
Capture dimensions, collection assignments, core pricing, and default cushion configurations for every base sofa, chair, and bed.
Extract the complete material library including colour families, durability scores, pet friendly flags, and high resolution swatch images.
Resolve price modifiers for premium fabrics, upgraded cushion fills, and specialized leg finishes across all possible product combinations.
Monitor estimated delivery windows and ready to ship status, tracking supply chain delays at the configuration level.
Map individual sectional pieces, bumpers, and chaises to their parent collections with compatibility rules and standalone pricing.
Extract customer reviews linked directly to the specific fabric and configuration purchased, providing material level sentiment analysis.
Capture exact width, depth, height, and seat clearance metrics required for spatial planning and competitor benchmarking.
Execute JavaScript payloads to simulate user selections in the 3D builder, exposing hidden pricing and SKU generation logic.
Maintain a hash index of configurations. Only emit records when pricing, lead times, or fabric availability changes.
Brief in. Clean data out.
Specify target collections, fabric tiers, or specific product categories. We map the configuration matrix.
We configure Playwright to execute the 3D configurator states, handling the JavaScript required to expose dynamic pricing.
Null rate checks on dimensions, price outlier detection, and variant explosion validation before full deployment.
Flattened JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on your required schedule.
Standard scrapers fail on custom furniture sites because the data does not exist in the initial HTML. We extract the underlying configuration logic.
Interior Define's pricing and lead times are calculated dynamically via JavaScript as users select fabrics and legs. We use Playwright to execute these state changes, capturing the XHR payloads that contain the actual pricing matrices.
A single sofa with 100 fabrics, 5 leg styles, and 3 lengths creates 1,500 distinct SKUs. Our pipeline systematically iterates through the configuration matrix, flattening these combinations into individual, queryable database rows.
Lead times fluctuate based on fabric availability and production queues. We track these changes over time, providing a historical dataset of manufacturing delays and inventory health.
Sectionals are composed of individual SKUs (left arm, right arm, corner). We map these parent child relationships, allowing you to reconstruct full modular setups or analyze individual component pricing.
Frontend redesigns break traditional scrapers. We target the underlying API responses and JSON payloads driving the configurator, ensuring pipeline stability even when the UI changes.
Direct to consumer furniture brands track Interior Define's base and premium pricing tiers to optimise their own pricing strategies.
Analyse the expansion of fabric catalogues and correlate specific materials (e.g., performance velvet) with high customer review ratings.
Monitor lead time fluctuations across different product categories to gauge manufacturing capacity and supply chain bottlenecks.
Retailers analyse dimension distributions and modular configuration options to identify gaps in their own product offerings.
Private equity analysts track product catalogue growth, review velocity, and collection launches to evaluate brand momentum.
Interior design software platforms ingest accurate dimension data to populate their 3D room planning tools.
"Interior Define's value lies in its permutations. A single sofa yields hundreds of pricing and material combinations that standard scrapers miss."
Extracting custom furniture data requires executing complex JavaScript states to expose dynamic pricing and lead times. We handle the 3D configurator payloads, session state management, and variant explosions so your team receives flattened, queryable configuration matrices without building the infrastructure.
Everything supported by our interiordefine.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.
Playwright handles the complex JavaScript execution required to load the 3D configurator, intercepting XHR payloads to extract pricing matrices directly from the underlying APIs.
We utilise residential proxies to ensure consistent access and prevent rate limiting during deep recursive crawls of the variant matrix.
Pipelines run on Kubernetes with Airflow managing scheduling and dependency resolution. Data is validated and pushed directly to your warehouse.
Data delivered to where your team already works — no new tooling required.
About interiordefine.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Interior Define is generally permissible under applicable law. DataFlirt targets only public, non authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We do not rely on clicking through the UI for every combination. We intercept the API payloads that drive the configurator, allowing us to reconstruct the pricing rules and generate the full variant matrix programmatically.
Yes. We run scheduled pipelines that capture the current lead time estimates for specific configurations, providing a historical time series of supply chain performance.
Yes, we extract the URLs for all high resolution material swatches, alongside metadata like durability ratings and cleaning codes.
We support one off catalogue exports, weekly refreshes, or daily monitoring of specific top selling SKUs for price and lead time changes.
Yes. We provide a sample extraction of a single collection, demonstrating how we flatten the fabric, leg, and size variants into a queryable dataset.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete catalogue extraction or daily lead time monitoring, we build and operate the pipeline. Tell us your requirements.
