We extract sofa configurations, fabric variants, pricing tiers, dimensions, and delivery lead times from Sofology. 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 Product Listings objects from sofology.co.uk. All fields typed and schema-versioned.
"sku": "SOF-9921-3STR", "title": "Mazzini 3 Seater Sofa", "range_name": "Mazzini", "base_price": 1299.0, "currency": "GBP", "rating": 4.8, "review_count": 142
| # | sku | title | category | range_name | base_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Fabric Variants objects from sofology.co.uk. All fields typed and schema-versioned.
"sku": "SOF-9921-3STR-BLU", "parent_sku": "SOF-9921-3STR", "fabric_name": "Plush Velvet Midnight", "fabric_grade": "Premium", "colour_family": "Blue", "price_modifier": 150.0
| # | sku | parent_sku | fabric_name | fabric_grade | colour_family | price_modifier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dimensions objects from sofology.co.uk. All fields typed and schema-versioned.
"sku": "SOF-9921-3STR", "height_cm": 89.0, "width_cm": 214.0, "depth_cm": 98.0, "seat_height_cm": 45.0, "weight_kg": 65.5, "frame_guarantee_years": 20
| # | sku | height_cm | width_cm | depth_cm | seat_height_cm | arm_height_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Delivery & Finance objects from sofology.co.uk. All fields typed and schema-versioned.
"sku": "SOF-9921-3STR", "delivery_weeks": 14, "delivery_cost": 79.0, "apr_rate": 0.0, "finance_term_months": 48, "monthly_cost": 27.06
| # | sku | delivery_weeks | delivery_cost | apr_rate | finance_term_months | monthly_cost |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Showroom Inventory objects from sofology.co.uk. All fields typed and schema-versioned.
"store_id": "STR-042", "store_name": "Manchester White City", "sku": "SOF-9921-3STR", "display_model_available": true, "clearance_item": false, "clearance_price": "None"
| # | store_id | store_name | sku | display_model_available | clearance_item | clearance_price |
|---|---|---|---|---|---|---|
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Our Sofology scraper handles dynamic product configuration, fabric swatch rendering, and location-based delivery estimates with full session management.
Extract base models, range groupings, and category taxonomies across sofas, chairs, and accessories.
Iterate through all fabric grades and colour families to capture variant-specific pricing and imagery.
Capture precise measurements including seat depth, arm height, and clearance requirements for every SKU.
Record base prices, fabric modifiers, and calculated 0% APR finance terms including deposit requirements.
Extract dynamic manufacturing and delivery estimates based on fabric availability and geographic routing.
Capture links to WebGL models and high-resolution texture maps used in the Sofology 3D viewer.
Map which specific configurations are available to view at local retail parks and showrooms.
Monitor ex-display and clearance inventory for deep discounts and condition notes.
Run daily pipelines that output only changed prices, new fabric additions, or altered lead times.
Brief in. Clean data out.
Specify target ranges, fabric grades, or clearance categories. We design the schema to match your data model.
We configure Playwright spiders to handle Sofology's client-side rendering and variant selection logic.
Automated checks ensure all fabric modifiers calculate correctly and dimension fields contain valid integers.
Structured records pushed to your S3 bucket, PostgreSQL database, or via Webhook on your schedule.
Furniture configuration relies heavily on client-side rendering. We execute full browser sessions to capture accurate pricing for every fabric combination.
Sofology product pages update dynamically when users select different fabrics or modular pieces. We use Playwright to interact with the DOM, ensuring all price and image changes are fully rendered before extraction.
A single sofa can have over 80 fabric options. Our crawlers systematically iterate through every available swatch, capturing the specific price modifier and SKU suffix for each combination.
Delivery lead times often depend on the destination. We inject specific UK postcodes during the session to extract accurate routing and manufacturing timelines for different regions.
Beyond text data, we extract the underlying CDN URLs for high-resolution fabric swatches, lifestyle imagery, and 3D model files used in the augmented reality viewer.
We hash product records at the variant level. Subsequent crawls only emit data when a fabric is discontinued, a price tier changes, or lead times extend.
Furniture retailers track Sofology's base prices and fabric upgrade costs to maintain competitive positioning.
Merchandising teams analyse range depth, modular configurations, and colour availability across the catalogue.
Logistics teams monitor advertised delivery lead times to benchmark their own manufacturing and import delays.
Designers track the introduction of new fabric grades (e.g., bouclé, sustainable weaves) and colour popularity.
Analysts map showroom locations and display stock to understand regional footprint and store density.
Private equity firms aggregate review velocity and catalogue size to estimate revenue growth and market penetration.
"Sofology's catalogue is highly dimensional. Every sofa has dozens of fabric and colour permutations, each altering the final price and lead time."
Extracting accurate furniture data requires traversing thousands of configuration states. We handle the JavaScript execution, state management, and asset mapping required to normalise Sofology's complex product architecture into flat, queryable tables. Your team gets clean data, not scraping headaches.
Everything supported by our sofology.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.
We use Playwright to render the React front-end, manage state during fabric selection, and ensure all dynamic DOM updates complete before parsing.
Requests are routed through UK-based residential IPs to ensure accurate local pricing, prevent blocking, and maintain stable connection speeds.
Kubernetes clusters distribute the heavy lifting of browser rendering across multiple nodes, ensuring daily catalogue refreshes complete within hours.
Data delivered to where your team already works — no new tooling required.
About sofology.co.uk scraping, legality, and pipeline operations.
Ask us directly →Yes. Our crawlers systematically select every available fabric grade and colour from the interface, capturing the specific price modifier and final cost for each permutation.
Lead times on Sofology are dynamic and often depend on the selected fabric and destination. We capture the advertised lead time for each variant and can inject specific UK postcodes to normalise regional variations.
Yes. For modular ranges, we extract the individual components (e.g., corner units, armless sections) and their respective dimensions and prices, allowing you to reconstruct the full configuration matrix.
Yes. We monitor the clearance sections and specific store inventory pages to capture discounted models, condition notes, and location availability.
We typically run full catalogue refreshes on a daily or weekly schedule. Because of the heavy JavaScript rendering required, real-time extraction is reserved for specific targeted SKUs.
Yes. We can run a sample extraction of a specific sofa range, complete with all fabric variants, to validate the schema before full deployment.
20-minute scoping call. Pilot dataset within the week. Production within two. From base dimension data to full fabric variant matrices, we manage the infrastructure so you can focus on retail analysis. Contact our engineering team to scope your requirements.
