We extract furniture listings, fabric variants, dimensions, brand intelligence, and clearance pricing from Barker and Stonehouse. 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 Listings objects from barkerandstonehouse.co.uk. All fields typed and schema-versioned.
"sku": "BSH-SOFA-092", "title": "Timothy Oulton Westminster Button Sofa", "brand": "Timothy Oulton", "price": 3499.0, "currency": "GBP", "category": "Living Room", "sub_category": "Sofas", "assembly_required": false
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Clearance objects from barkerandstonehouse.co.uk. All fields typed and schema-versioned.
"sku": "BSH-SOFA-092", "current_price": 3499.0, "original_price": 3499.0, "discount_pct": 0, "is_clearance": false, "finance_available": true, "finance_monthly": 97.19, "finance_term_months": 36, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | original_price | discount_pct | discount_abs | is_clearance |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Materials objects from barkerandstonehouse.co.uk. All fields typed and schema-versioned.
"parent_sku": "BSH-SOFA-092", "variant_sku": "BSH-SOFA-092-WHT", "fabric_name": "Destroyed Raw", "colour_family": "White", "finish_type": "Leather", "price_modifier": 0.0, "in_stock": true
| # | parent_sku | variant_sku | fabric_name | fabric_grade | colour_family | finish_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Stock & Delivery objects from barkerandstonehouse.co.uk. All fields typed and schema-versioned.
"sku": "BSH-SOFA-092", "in_stock": true, "lead_time_weeks_min": 8, "lead_time_weeks_max": 10, "delivery_cost": 49.0, "click_and_collect": false, "scraped_at": "2026-05-12T09:14:33Z"
| # | sku | in_stock | stock_level | lead_time_weeks_min | lead_time_weeks_max | delivery_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from barkerandstonehouse.co.uk. All fields typed and schema-versioned.
"sku": "BSH-SOFA-092", "average_rating": 4.8, "review_count": 42, "five_star_pct": 85, "trustpilot_score": 4.9, "scraped_at": "2026-05-12T09:15:00Z"
| # | sku | average_rating | review_count | five_star_pct | four_star_pct | three_star_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles every layer of the Barker and Stonehouse platform: complex product variants, dynamic delivery lead times, clearance stock tracking, and brand intelligence : with JavaScript rendering and anti-bot circumvention built in.
Title, description, dimensions, materials, and every metadata field surfaced : scraped at SKU level with parent-child variant mapping.
Extract complex configuration matrices for sofas and beds, including fabric grades, leather finishes, and associated price modifiers.
Capture current price, original price, discount percentages, and clearance flags : timestamped per crawl for accurate historical tracking.
Extract dynamic lead times (e.g., '8-10 weeks'), delivery costs, and stock availability across different product configurations.
Track premium brands like Ercol, Timothy Oulton, and Vispring across the catalogue to monitor range expansion and pricing strategies.
Extract and normalise height, width, and depth measurements into structured numerical fields for easier database querying.
Capture available finance terms, monthly payment amounts, and interest rates advertised on product pages.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Map complex modular sofa components (corner units, armless sections, chaises) and their individual pricing.
Brief in. Clean data out.
Provide category URLs, brand names, or specific product ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for barkerandstonehouse.co.uk.
Schema validation, null-rate checks, price-outlier detection, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting premium furniture data requires handling complex JavaScript variants and anti-bot measures. Here is how we stay resilient.
Retail sites use perimeter protection to block scrapers. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and full cookie session management to ensure uninterrupted access.
Furniture configuration matrices (selecting a fabric grade to see the updated price and image) rely heavily on JavaScript. We run full Playwright browser sessions to trigger these dynamic state changes and capture all variant data.
Retailers frequently alter DOM structures for sales and promotions. Our selector strategy uses multiple fallback chains per field, including structured data extraction (LD+JSON), ensuring consistent data delivery.
For large furniture catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs : reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing dimensions, and coverage drops : responding before you notice.
Furniture retailers track pricing, promotional cadences, and clearance discounts to remain competitive in the premium segment.
Merchandising teams analyse category breadth, brand representation, and colour trends to inform their own buying decisions.
Premium furniture brands monitor their distribution, pricing compliance, and product presentation across retail partners.
Analysts track advertised delivery lead times across categories to infer supply chain bottlenecks and inventory positions.
Consultancies aggregate sizing data, material trends, and pricing tiers to map the UK furniture retail landscape.
Computer vision and NLP teams use structured product descriptions, dimensions, and images to train home decor recommendation models.
"Barker and Stonehouse holds a premium UK furniture catalogue, but extracting accurate fabric variants, dimensions, and clearance pricing requires a dedicated pipeline."
Scraping premium furniture retailers involves complex product variant matrices. Fabric colours, modular sofa dimensions, and dynamic delivery lead times are often nested deep in JavaScript payloads. DataFlirt handles this extraction, providing clean, normalised records for your pricing and range analysis.
Everything supported by our barkerandstonehouse.co.uk 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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and variant interaction flows.
We maintain pools of UK residential ISP proxies. Rotation happens per-request with sticky sessions where required to maintain state during configuration.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 barkerandstonehouse.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable UK law. DataFlirt targets only public, non-authenticated product, pricing, and variant data. We do not extract personal data, circumvent authentication walls, or violate UK GDPR. Clients should consult legal counsel for specific use cases.
We use Playwright to systematically iterate through all available configuration options (fabrics, corner units, arm styles) in the DOM, capturing the updated price and SKU for each valid combination.
Yes. We monitor both the standard category pages and the dedicated clearance sections. When a previously tracked SKU appears with a clearance flag or discounted price, the change is recorded and delivered in the next diff.
Full catalogue refreshes typically run on a daily or weekly cadence, completing within a few hours. For specific high-priority categories or clearance sections, we can configure sub-hourly tracking.
Yes. Furniture dimensions are often presented as unstructured text (e.g., 'W200 x D100 x H85 cm'). Our pipeline parses these strings into structured numerical fields for height, width, and depth, standardising the units.
Absolutely. We provide a sample run of up to 500 products as part of the pre-engagement scoping process, allowing you to validate schema fit and variant completeness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across thousands of variants : we scope, build, and operate the pipeline. Tell us what you need.
