We extract product listings, dimensional specifications, fabric cable variations, pricing signals, and stock levels from lampsandlights.co.uk. 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 lampsandlights.co.uk. All fields typed and schema-versioned.
"sku": "CH2-BR", "title": "Brass Chain 2mm", "category": "Chains & Hooks", "price_inc_vat": 4.5, "stock_status": "In Stock", "material": "Solid Brass", "finish": "Polished"
| # | sku | title | category | sub_category | price_inc_vat | price_ex_vat |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fabric Cable objects from lampsandlights.co.uk. All fields typed and schema-versioned.
"sku": "FLEX-3C-RD", "colour": "Red", "pattern": "Solid", "core_count": 3, "diameter_mm": 6.5, "price_per_metre": 3.2, "max_load_kg": 2.5
| # | sku | colour | pattern | core_count | diameter_mm | cut_length_m |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Stock & Pricing objects from lampsandlights.co.uk. All fields typed and schema-versioned.
"sku": "LH-E27-BZ", "retail_price": 8.5, "vat_inc": true, "stock_level": 142, "bulk_discount_qty": 10, "bulk_discount_price": 7.65, "currency": "GBP"
| # | sku | retail_price | vat_inc | stock_level | restock_date | bulk_discount_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Components objects from lampsandlights.co.uk. All fields typed and schema-versioned.
"sku": "B-LED-G95", "thread_type": "E27", "base_type": "Edison Screw", "voltage": "240V", "wattage": "4W", "weight_g": 85, "diameter_mm": 95
| # | sku | thread_type | base_type | voltage | wattage | ip_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Taxonomy objects from lampsandlights.co.uk. All fields typed and schema-versioned.
"category_id": "cat_412", "parent_category": "Ceiling Roses", "name": "Multi Outlet Roses", "url": "https://www.lampsandlights.co.uk/multi-outlet-roses", "product_count": 24, "breadcrumb_path": "Home > Ceiling Roses > Multi Outlet Roses"
| # | category_id | parent_category | name | url | product_count | meta_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper handles the entire component catalogue: fabric flex variations, brass fittings, vintage bulbs, and ceiling roses. We extract dimensional data and stock levels with precision.
Extract thread sizes, base types, wattage limits, IP ratings, and dimensional measurements for all hardware.
Map complex cable matrices including core count, colour, pattern, and cut-length pricing.
Capture retail prices, VAT status, and volume discount tiers across all product categories.
Monitor inventory status and stock levels to forecast supply chain requirements.
Download high-resolution product images, technical diagrams, and lifestyle shots.
Reconstruct the site hierarchy, mapping products to their precise sub-categories and breadcrumbs.
Run continuous pipelines that only emit records when prices, stock, or specifications change.
Identify linked products, recommended bulbs, and compatible fittings for each main component.
Standardise pricing outputs into your required currency format with timestamped records.
Brief in. Clean data out.
Provide categories, URLs, or specific component types. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and variation logic for lampsandlights.co.uk.
Schema validation, null-rate checks, and dimension parsing tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting component data requires handling complex variation matrices and dimensional metadata. Here is how we build resilient pipelines.
Lighting components often have multiple variants (finish, thread type, cable length). We map these parent-child relationships systematically so every variant gets a unique, queryable row in your database.
Technical specifications are frequently buried in unstructured description text. We use regex and NLP to extract clean numeric values for diameter, weight, and thread size.
We monitor stock indicators and volume discount thresholds, allowing you to track inventory velocity for specific components over time.
Beyond text data, we extract URLs for technical diagrams and high-resolution product images, essential for catalogue enrichment.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Lighting retailers monitor component pricing and bulk discount tiers to adjust their own pricing strategies.
Interior design platforms ingest dimensional data and images to populate their own product libraries.
Supply chain analysts track stock levels across niche suppliers to predict component shortages.
Manufacturers analyse product availability and new category additions to identify market gaps.
Retailers sync stock availability and pricing data to their own storefronts to prevent out-of-stock orders.
Machine learning teams use structured component data to train visual recognition and product recommendation models.
"Lampsandlights holds a comprehensive catalogue of vintage lighting components. Accessing their variation matrices requires structured, disciplined extraction."
Extracting data from niche component retailers involves parsing complex product variations, dimensional specifications, and stock tiers. DataFlirt handles the infrastructure, proxy rotation, and schema normalisation so your team can focus on catalogue enrichment and price analysis rather than maintaining scrapers.
Everything supported by our lampsandlights.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 and interaction flows for complex variant selections.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required.
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 lampsandlights.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and specification data. We do not extract personal data or circumvent authentication walls. Clients should review the target site's ToS and consult legal counsel.
We map parent-child relationships systematically. For items like fabric cable, we extract the base SKU and generate individual rows for every combination of colour, core count, and cut length, complete with the specific price for that variant.
Full catalogue refreshes at daily or weekly cadences complete within a 2-4 hour window depending on site responsiveness. Specific high-priority categories can be monitored hourly for stock changes.
Yes. We use regex and NLP to parse unstructured description text and extract clean, typed numeric values for thread sizes, IP ratings, wattages, and dimensions.
Our smallest packages start at a defined category list with weekly delivery. For full catalogue extraction or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 100 products as part of the pre-engagement scoping process so you can validate schema fit, field completeness, 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 lighting components — we scope, build, and operate the pipeline. Tell us what you need.
