We extract technical specifications, lumens, colour temperatures, bulk pricing tiers, and stock availability from Ledhut. 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 Bulb Specifications objects from ledhut.co.uk. All fields typed and schema-versioned.
"sku": "LUM-GU10-5W-CW", "title": "5W GU10 LED Spotlight - Cool White", "cap_type": "GU10", "wattage": 5.0, "equivalent_wattage": 50.0, "lumens": 400, "colour_temp": "6000K", "dimmable": false, "energy_rating": "A+"
| # | sku | title | cap_type | wattage | equivalent_wattage | lumens |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Tiers objects from ledhut.co.uk. All fields typed and schema-versioned.
"sku": "LUM-GU10-5W-CW", "base_price": 2.49, "vat_inc_price": 2.99, "bulk_tier_1_qty": 10, "bulk_tier_1_price": 2.75, "bulk_tier_2_qty": 50, "bulk_tier_2_price": 2.5, "currency": "GBP"
| # | sku | base_price | vat_inc_price | bulk_tier_1_qty | bulk_tier_1_price | bulk_tier_2_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Stock & Shipping objects from ledhut.co.uk. All fields typed and schema-versioned.
"sku": "LUM-GU10-5W-CW", "in_stock": true, "stock_level": "High", "next_day_eligible": true, "warranty_years": 5, "shipping_weight_kg": 0.08, "dispatch_status": "Same day dispatch if ordered before 4pm"
| # | sku | in_stock | stock_level | lead_time_days | next_day_eligible | warranty_years |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from ledhut.co.uk. All fields typed and schema-versioned.
"review_id": "REV-98234", "sku": "LUM-GU10-5W-CW", "rating": 5, "author": "David M.", "date_posted": "2026-03-14", "title": "Excellent brightness", "verified_buyer": true, "body": "Replaced all my kitchen halogens with these. Much brighter and cooler."
| # | review_id | sku | rating | author | date_posted | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Taxonomy objects from ledhut.co.uk. All fields typed and schema-versioned.
"category_id": "CAT-GU10", "name": "GU10 LED Bulbs", "parent_category": "LED Spotlights", "breadcrumbs": "['Home', 'LED Spotlights', 'GU10 LED Bulbs']", "url": "https://www.ledhut.co.uk/led-spotlights/gu10-led-bulbs.html", "product_count": 142
| # | category_id | name | parent_category | breadcrumbs | url | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
We normalise Ledhut's technical tables, parsing raw strings into structured integers and floats for lumens, wattage, and colour temperatures, while capturing dynamic bulk pricing arrays.
Extract and normalise cap types, beam angles, lumens, and wattage from unstructured description blocks and specification tables.
Capture dynamic multi-buy discount brackets, including minimum quantity requirements and unit price reductions.
Monitor stock status, lead times, and same-day dispatch cut-offs for consumer and commercial lighting fixtures.
Standardise Kelvin values (e.g., 3000K, 4000K, 6000K) and string descriptions (Warm White, Cool White, Daylight).
Accurately flag dimmable versus non-dimmable variants, including trailing-edge and leading-edge compatibility notes.
Capture updated UK/EU energy efficiency labels and kWh/1000h consumption metrics.
Extract verified customer reviews, star ratings, and textual feedback for product quality analysis.
Map equivalent wattage claims (e.g., 5W LED = 50W Halogen) to evaluate marketing consistency and performance.
Reconstruct full breadcrumb paths to map the entire Ledhut catalogue hierarchy from root to leaf node.
Brief in. Clean data out.
Provide category URLs or keyword sets. We design the extraction schema for lighting specifications.
We configure Scrapy crawlers, proxy rotation, and DOM parsing logic for ledhut.co.uk.
Schema validation, null-rate checks on spec tables, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting clean data requires normalising inconsistent specification tables and parsing dynamic pricing blocks.
Lighting specifications often mix units (e.g., '5 W', '5W', '5 Watts'). Our pipeline uses regex and type casting to output clean floats and integers for downstream analysis.
Ledhut heavily utilises volume discounts. We parse the JavaScript-rendered pricing tables to generate structured arrays of quantity thresholds and corresponding unit prices.
A single product page may contain multiple variations (Warm White vs Cool White, B22 vs E27). We expand these into distinct SKU records with specific pricing and stock levels.
To prevent IP blocks and maintain stability, we distribute requests across UK residential proxies and implement strict concurrency limits tailored to Ledhut's server capacity.
We maintain state across runs, emitting only changed records. This allows you to track exact timestamps for stock depletion or promotional price changes.
Lighting retailers track base prices and bulk discount tiers to optimise their own pricing strategies.
Manufacturers analyse the catalogue to identify missing lumen outputs or cap types in their own ranges.
Consultants extract wattage and equivalent wattage data to calculate ROI models for commercial LED refits.
Trade buyers monitor stock availability and lead times to ensure accurate fulfillment promises.
Buyers evaluate category density and review counts to determine which lighting segments are growing.
Analysts track the shift toward smart lighting and specific colour temperatures across the UK market.
"Standardising lighting specifications across thousands of SKUs requires rigorous parsing logic, turning messy text into queryable metrics."
Extracting data from Ledhut involves more than just scraping prices. It requires understanding lighting taxonomy, normalising Kelvin values, parsing multi-buy discount arrays, and handling variant expansion. DataFlirt manages this pipeline end-to-end, delivering clean, typed data ready for your pricing engines.
Everything supported by our ledhut.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 and deduplication. Playwright handles JavaScript rendering for dynamic pricing blocks and variant selection.
We maintain pools of residential ISP proxies across the UK. Rotation happens per-request to prevent rate limiting and ensure accurate VAT representation.
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 ledhut.co.uk scraping, legality, and pipeline operations.
Ask us directly →Yes. We parse the multi-buy pricing tables to output structured arrays, detailing the exact quantity thresholds and the corresponding unit price or percentage discount.
Products with multiple options (e.g., Warm White vs Cool White, or different cap types) are expanded into individual records. Each record receives a unique identifier mapped back to the parent product.
Yes. We use regex and custom parsing logic to strip text strings and output clean numeric types for lumens, wattage, beam angles, and dimensions, making the data immediately queryable.
We capture the current stock status, specific lead times (e.g., 'Usually dispatched within 24 hours'), and cut-off times for next-day delivery eligibility.
We only extract publicly available retail pricing (including VAT). Specific trade discounts requiring a logged-in B2B account are not supported.
We support daily, weekly, or custom cadences. For specific fast-moving SKUs, we can configure higher-frequency polling for stock and price changes.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete catalogue extraction or continuous monitoring of bulk pricing tiers, we configure and maintain the pipeline. Contact us to define your schema.
