We extract luxury furniture specifications, fabric and finish matrices, member pricing tiers, and gallery stock from Restoration Hardware. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Specs objects from restorationhardware.com. All fields typed and schema-versioned.
"product_id": "prod123456", "name": "Maxwell Leather Sofa", "collection": "Maxwell", "category": "Living", "regular_price_range": "4500.00 - 8500.00", "member_price_range": "3375.00 - 6375.00", "materials": "Italian Brompton Leather", "primary_image_url": "https://media.restorationhardware.com/..."
| # | product_id | name | collection | category | sub_category | regular_price_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for SKU Variations objects from restorationhardware.com. All fields typed and schema-versioned.
"sku": "sku987654", "parent_product_id": "prod123456", "length": "84 inch", "depth": "Classic 40 inch", "fill_type": "Standard", "leather_or_fabric_category": "Italian Brompton", "colour": "Cocoa", "regular_price": 5200.0, "member_price": 3900.0, "stock_status": "In Stock"
| # | sku | parent_product_id | length | depth | fill_type | leather_or_fabric_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing Data objects from restorationhardware.com. All fields typed and schema-versioned.
"sku": "sku987654", "regular_price": 5200.0, "member_price": 3900.0, "discount_pct": 25, "currency": "USD", "sale_badge": false, "final_sale_flag": false, "shipping_surcharge": 299.0, "price_timestamp": "2026-05-12T10:15:00Z"
| # | sku | regular_price | member_price | discount_pct | currency | sale_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Gallery Inventory objects from restorationhardware.com. All fields typed and schema-versioned.
"gallery_id": "gal_042", "gallery_name": "RH New York, The Gallery", "city": "New York", "state": "NY", "zip_code": "10014", "sku": "sku987654", "display_status": "On Display", "pickup_available": true
| # | gallery_id | gallery_name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Source Books objects from restorationhardware.com. All fields typed and schema-versioned.
"book_id": "sb_2025_modern", "title": "RH Modern 2025", "year": 2025, "season": "Spring", "page_number": 42, "featured_skus": "['sku111', 'sku222']", "lifestyle_image_url": "https://media.restorationhardware.com/...", "shoppable_links": 3
| # | book_id | title | year | season | page_number | featured_skus |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Restoration Hardware relies on highly nested product configurations. Our pipeline flattens these matrices, capturing every fabric, finish, and dimension permutation alongside dual-tier pricing.
Extract every combination of length, depth, fill, fabric, and finish. We map thousands of child SKUs back to their parent product ID.
Capture both Regular and RH Member pricing for every SKU, including clearance and final sale flags.
Extract structured dimensional data, weight, and material composition from unstructured overview descriptions.
Track which specific SKUs are on display at which physical RH Gallery locations across the country.
Extract clean URLs for lifestyle imagery, isolated product shots, and high-resolution fabric/finish swatches.
Capture estimated shipping windows and freight surcharges per SKU based on destination zip codes.
Map shoppable links and featured SKUs directly from digital RH Source Book pages.
Run continuous pipelines that only emit records when a price changes, a finish is discontinued, or lead times shift.
Support for RH US, RH Canada, and RH UK storefronts with localised currency and availability.
Brief in. Clean data out.
Provide target categories, collections, or specific SKUs. We design the extraction schema for the variant matrices.
We configure Playwright crawlers to handle dynamic fabric selectors and proxy rotation for restorationhardware.com.
Schema validation, checking for missing variant permutations, and price-tier accuracy before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from RH requires navigating heavy JavaScript selectors and massive variant arrays. Here is how we maintain stability.
RH product pages use complex JavaScript to load pricing and images only after a user selects length, depth, fabric, and colour. We use full Playwright sessions to programmatically iterate through these dropdowns, capturing the specific SKU and price for every permutation.
A single RH sofa can have over 1,500 distinct SKUs based on customisation options. Our crawlers recursively map these option trees, flattening them into relational tables so you can query exact configurations without dealing with nested JSON arrays.
Frequent requests to RH pricing endpoints trigger rate limits and blocks. We route traffic through US-based residential ISP proxies with realistic browser fingerprints to ensure uninterrupted catalogue extraction.
RH often buries critical specifications in unstructured HTML text blocks. We apply regex and parsing rules to extract clean, standard dimensional fields (width, depth, height) and material tags for downstream analysis.
When RH updates their frontend framework or changes how member pricing is displayed, our observability stack flags the DOM change immediately. We maintain the selectors so your data feed remains uninterrupted.
Luxury furniture retailers monitor RH Member pricing and promotional cadences to adjust their own pricing strategies.
Merchandising teams analyse RH category depth, tracking the introduction of new collections, fabrics, and finishes.
Analysts track estimated delivery windows across different fabric grades to infer supply chain bottlenecks and material shortages.
Design platforms ingest exact dimensions, high-res imagery, and current pricing to populate 3D rendering and procurement software.
Private equity and investment analysts monitor gallery expansion and display inventory to evaluate capital expenditure and brand footprint.
Trend forecasters aggregate fabric, leather, and finish availability to quantify shifts in luxury interior design preferences.
"Restoration Hardware maintains one of the most complex product matrices in retail. Extracting their fabric, finish, and size permutations requires a pipeline built specifically for highly nested variant data."
Most extraction attempts fail on RH due to the sheer volume of SKU permutations per product. A single sofa can have over 1,500 fabric and finish combinations. DataFlirt handles the JavaScript rendering and recursive variant mapping required to output a flat, queryable catalogue without the maintenance overhead.
Everything supported by our restorationhardware.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 executes the JavaScript required to iterate through RH's complex product configuration menus.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request to avoid rate limits on pricing API endpoints.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About restorationhardware.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail websites is generally permissible. DataFlirt targets only public, non-authenticated catalogue, pricing, and gallery data. We do not extract personal data or bypass authentication walls. Clients should review target website terms and consult legal counsel for specific use cases.
Our Playwright scripts programmatically select every valid combination of dimensions, fabrics, and finishes on the product page, capturing the unique SKU, price, and lead time for each specific configuration. We output this as a flattened relational dataset.
Yes. Every SKU record includes both the standard retail price and the RH Member price, along with any clearance or final sale indicators.
Data freshness depends on your pipeline schedule. We can configure daily or weekly runs across the catalogue to track shifts in lead times and gallery display status.
Yes. We can parse the digital Source Books to extract page numbers, lifestyle imagery, and the specific SKUs featured in those curated layouts.
Absolutely. We provide a sample run of up to 50 parent products (which typically yields thousands of child SKUs) as part of the scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across every SKU variation - we scope, build, and operate the pipeline. Tell us what you need.
