We extract technical specifications, Ex/Inc VAT pricing, bulk discounts, and localised store stock from Screwfix. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 screwfix.com. All fields typed and schema-versioned.
"sku": "843PG", "title": "DeWalt DCD796N-XJ 18V Li-Ion XR Brushless Cordless Combi Drill", "brand": "DeWalt", "category": "Tools", "price_inc_vat": 69.99, "price_ex_vat": 58.32, "rating": 4.8, "review_count": 1243
| # | sku | title | brand | category | sub_category | price_inc_vat |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from screwfix.com. All fields typed and schema-versioned.
"sku": "843PG", "current_price_inc_vat": 69.99, "current_price_ex_vat": 58.32, "was_price": 89.99, "bulk_qty_threshold": 5, "bulk_price_inc_vat": 64.99, "deal_badge": "Price Drop", "price_timestamp": "2026-05-12T08:14:00Z"
| # | sku | current_price_inc_vat | current_price_ex_vat | was_price | bulk_qty_threshold | bulk_price_inc_vat |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Store Stock objects from screwfix.com. All fields typed and schema-versioned.
"sku": "843PG", "store_id": "ST142", "store_name": "London - Battersea", "postcode": "SW8 4DF", "stock_status": "In Stock", "quantity_available": 14, "click_collect_eligible": true, "next_day_delivery": true
| # | sku | store_id | store_name | postcode | distance_miles | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specs objects from screwfix.com. All fields typed and schema-versioned.
"sku": "843PG", "mpn": "DCD796N-XJ", "ean": "5035048646213", "weight_kg": 1.3, "colour": "Yellow / Black", "power_output": "460 W", "voltage": "18 V", "warranty_years": 3
| # | sku | mpn | ean | weight_kg | dimensions | colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from screwfix.com. All fields typed and schema-versioned.
"review_id": "REV-992817", "sku": "843PG", "author": "SparkyPete", "rating": 5, "title": "Solid drill for daily site work", "helpful_votes": 42, "verified_trade": true, "recommend_product": true
| # | review_id | sku | author | date | rating | title |
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Our Screwfix scraper extracts accurate pricing, deep technical specifications, and localised stock availability across the entire UK store network.
Extract all product categories, sub-categories, and brand landing pages to maintain a complete mirror of the Screwfix inventory.
Capture both Inc VAT and Ex VAT pricing simultaneously, tracking standard rates, promotions, and clearance drops.
Proxy postcodes to extract exact stock quantities and Click & Collect availability across specific local branches.
Extract EAN, MPN, voltages, thread sizes, and materials into normalised, queryable columns rather than flat text blocks.
Monitor volume pricing tiers and quantity thresholds to optimise procurement and material costing.
Track keyword rankings for specific tools or materials to monitor brand visibility and competitor placement.
Extract review text, star ratings, and verified trade purchaser tags to analyse product reliability.
Capture related products, required accessories, and spare parts linked to primary SKUs.
Run daily or hourly pipelines that emit only changed prices or stock levels, reducing database bloat.
Brief in. Clean data out.
Provide SKU lists, category URLs, or target postcodes. We design the extraction schema together.
We configure Scrapy crawlers, UK proxy rotation, session management, and CAPTCHA handling for screwfix.com.
Schema validation, null-rate checks, price-outlier detection, and postcode stock sampling before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting localised stock and trade pricing requires session state management and proxy routing. Here is how we build resilient pipelines.
Screwfix stock data is inherently local. Our crawlers inject specific UK postcodes into the session state, allowing us to map exact inventory levels and Click & Collect status across hundreds of target stores.
Trade pricing requires parsing complex DOM elements for Ex/Inc VAT toggles and volume discounts. We execute Playwright scripts to capture all pricing tiers accurately.
Retailers aggressively block data center IPs. We route all Screwfix requests through UK-based residential proxies with realistic browser fingerprints to maintain high success rates.
Technical specifications vary wildly between plumbing fittings and power tools. Our pipeline maps unstructured attribute tables into a clean, normalised schema based on product category.
For large MRO catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, saving compute cost and downstream processing time.
Hardware retailers and builders merchants track Screwfix pricing to adjust their own margins and run price-match guarantees.
Construction firms monitor bulk pricing and local stock availability to optimise material purchasing for regional sites.
Tool manufacturers audit retail pricing to ensure Minimum Advertised Price policies are maintained across channels.
Analysts track category expansion, brand dominance, and stock depth to evaluate the UK hardware retail sector.
Retailers analyse Screwfix category structures and new product introductions to identify gaps in their own catalogues.
ML teams use structured technical specifications and trade reviews to train MRO product recommendation engines.
"Screwfix holds the definitive UK hardware catalogue, but extracting localised stock across 800 stores requires precise session management and proxy routing."
DIY scraping scripts fail when attempting to map inventory across hundreds of local branches. DataFlirt manages the residential proxy rotation, postcode session state, and schema normalisation so your procurement and pricing teams receive clean, queryable data every morning.
Everything supported by our screwfix.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 handles JavaScript rendering, postcode session injection, and interaction flows.
We maintain pools of UK residential ISP proxies. Rotation happens per-request with sticky sessions required for local store stock extraction.
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 screwfix.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, specification, and stock data is generally permissible. DataFlirt extracts only public, non-authenticated catalogue data. We do not circumvent login walls or extract personal data. Clients should review terms of service and consult legal counsel for specific use cases.
We use UK residential proxies, Playwright browser sessions, and request timing modelled on human behaviour. We monitor for rate spikes and trigger pool rotation automatically to maintain pipeline health.
Yes. We accept target postcodes or store IDs and simulate sessions for those locations to extract exact stock quantities and Click & Collect eligibility.
Pipelines can be configured for daily catalogue refreshes or high-frequency intra-day checks on targeted SKU lists to monitor flash sales or stock drops.
Our smallest packages start at a defined SKU list or category set with weekly delivery. For full catalogue extraction, we price based on volume and frequency.
Yes. We provide a sample run of up to 500 SKUs or specific categories during the scoping process 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 continuous stock monitoring across 800 stores, we scope, build, and operate the pipeline. Tell us what you need.
