We extract product listings, size grids, stock levels, fabric compositions, and third-party brand data from next.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 next.co.uk. All fields typed and schema-versioned.
"sku": "T43-901", "title": "Cotton Rich Crew Neck Jumper", "brand": "Next", "category": "Mens Knitwear", "colour": "Navy Blue", "fabric_composition": "85% Cotton, 15% Wool", "care_instructions": "Machine washable at 30C"
| # | sku | product_id | title | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sizing & Stock objects from next.co.uk. All fields typed and schema-versioned.
"sku": "T43-901", "size_name": "Medium", "size_category": "Regular", "in_stock": true, "low_stock_warning": true, "price": 28.0, "delivery_estimate": "Next day delivery available"
| # | sku | product_id | size_name | size_category | in_stock | low_stock_warning |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Clearance objects from next.co.uk. All fields typed and schema-versioned.
"sku": "T43-901", "current_price": 14.0, "original_price": 28.0, "discount_pct": 50, "is_clearance": true, "currency": "GBP", "promotion_text": "Clearance: Half Price"
| # | sku | current_price | original_price | discount_pct | is_clearance | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from next.co.uk. All fields typed and schema-versioned.
"review_id": "REV-992381", "sku": "T43-901", "rating": 4.5, "review_title": "Great fit and quality", "date_posted": "2026-02-14", "verified_buyer": true, "helpful_votes": 12
| # | review_id | sku | rating | review_title | review_text | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand & Category objects from next.co.uk. All fields typed and schema-versioned.
"brand_name": "Lipsy", "category_path": "Womens > Dresses > Occasion", "total_products": 412, "gender": "Female", "is_third_party": true, "scraped_at": "2026-05-12T08:11:00Z"
| # | brand_id | brand_name | category_path | total_products | gender | age_group |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Next scraper handles complex fashion data models: dynamic size grids, third-party brand catalogues, clearance events, and home furniture specifications. Built with JavaScript rendering and anti-bot circumvention.
Title, fabric composition, care instructions, dimensions, and high-resolution image URLs scraped at the SKU level.
Capture in-stock status, low stock warnings, and delivery estimates for every specific size and fit variation.
Next acts as a marketplace. We extract data across all hosted brands like Nike, Adidas, Lipsy, and Reiss.
Track original prices against clearance markdowns, capturing discount percentages and promotional text.
Extract specific home attributes including assembly requirements, exact dimensions, and material finishes.
Parse detailed material breakdowns to support sustainability tracking and compliance reporting.
Extract localised pricing and stock from Next UK, Next Ireland, and Next International subdomains.
Capture primary, secondary, and detail-shot image URLs for computer vision model training.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand names, or SKU lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for next.co.uk.
Schema validation, null-rate checks, and size-grid hydration verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Retail sites deploy aggressive bot mitigation to protect pricing data. Here is how we stay resilient.
Retailers use strict WAF rules. Our crawlers use UK residential ISP proxies with realistic browser fingerprints, randomised request timing, and full session management to bypass rate limits.
Next loads size availability and stock warnings dynamically via JavaScript. We run full Playwright browser sessions to hydrate the DOM and capture real-time stock status.
Fashion data models are complex. Our selector strategy maps parent products to child SKUs across colour and size matrices, ensuring relational integrity in the final dataset.
For large fashion catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing size grids, and coverage drops. SLA uptime is contractual.
Fashion retailers monitor Next pricing, category depth, and third-party brand additions to benchmark their own assortments.
Merchandising teams analyse colour trends, sizing curves, and fabric compositions across the Next catalogue to inform buying decisions.
Pricing analysts track Next clearance events to model discount depth, timing, and sell-through indicators.
Supply chain teams monitor out-of-stock rates at the size level to identify supply chain bottlenecks in specific categories.
Third-party brands selling on Next monitor their own SKUs to ensure correct pricing, imagery, and stock representation.
Machine learning teams use structured clothing metadata and image URLs to train visual recommendation engines.
"next.co.uk is the bellwether for UK fashion and home retail. Tracking their size-level stock depth and third-party brand mix provides a definitive view of consumer demand."
Extracting data from Next requires navigating dynamic size grids, aggressive bot mitigation, and complex product variants spanning thousands of third-party brands. DataFlirt manages the proxy rotation, JavaScript rendering, and schema maintenance so your data science team receives clean tables, not blocked requests.
Everything supported by our next.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 orchestration and deduplication. Playwright handles JavaScript rendering for dynamic size grids. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request to bypass retail WAF rules.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About next.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and product information is generally permissible. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal data or bypass authentication walls. Clients should consult legal counsel for specific use cases.
We map the parent product ID to all child SKUs. Each row in our normalised dataset represents a unique colour and size combination, ensuring accurate stock tracking at the most granular level.
Yes. We capture the exact stock status, low stock warnings, and delivery estimates displayed on the product page for each specific size.
Yes. Next hosts thousands of third-party brands. We extract the brand name and flag whether the item is Next own-brand or third-party.
Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on scale. Targeted category tracking can be scheduled hourly.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous stock-monitoring feed across 400K SKUs, we scope, build, and operate the pipeline. Tell us what you need.
