We extract luxury apparel listings, beauty catalogues, pricing signals, and stock depth from Fenwick. 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 fenwick.co.uk. All fields typed and schema-versioned.
"sku": "FWK-892104", "brand": "Barbour", "title": "Ashby Wax Jacket", "category": "Men", "sub_category": "Coats & Jackets", "price": 229.0, "currency": "GBP", "stock_status": "In Stock"
| # | sku | brand | title | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from fenwick.co.uk. All fields typed and schema-versioned.
"sku": "FWK-892104", "price": 183.2, "original_price": 229.0, "discount_pct": 20, "promotion_label": "Black Friday Event", "currency": "GBP", "is_clearance": false, "price_timestamp": "2026-11-24T10:15:00Z"
| # | sku | price | original_price | discount_pct | promotion_label | promotion_end_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Stock & Variations objects from fenwick.co.uk. All fields typed and schema-versioned.
"sku": "FWK-892104-M-OLV", "parent_id": "FWK-892104", "size": "Medium", "colour": "Olive", "in_stock": true, "low_stock_warning": true, "click_and_collect_eligible": true
| # | sku | parent_id | size | colour | stock_level | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Beauty & Grooming objects from fenwick.co.uk. All fields typed and schema-versioned.
"sku": "FWK-BTY-1029", "brand": "Charlotte Tilbury", "title": "Magic Cream", "product_type": "Moisturiser", "volume_ml": 50, "price": 79.0, "rating": 4.8, "review_count": 1240
| # | sku | brand | title | product_type | volume_ml | ingredients |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category Navigation objects from fenwick.co.uk. All fields typed and schema-versioned.
"category_id": "cat_wmn_dresses", "category_name": "Dresses", "parent_category": "Women", "product_count": 1432, "url": "https://www.fenwick.co.uk/women/clothing/dresses", "scraped_at": "2026-11-24T10:18:22Z"
| # | category_id | category_name | parent_category | breadcrumb | url | product_count |
|---|---|---|---|---|---|---|
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Our Fenwick scraper extracts catalogue listings, dynamic pricing, sizing grids, and stock availability with full JavaScript rendering and anti-bot circumvention built in.
Title, brand, description, materials, care instructions, and high-resolution image URLs scraped at SKU level with parent-child variant mapping.
Capture current price, original price, discount percentages, and promotional event labels timestamped per crawl.
Extract available sizes and colours across fashion and footwear, mapping complex grid variations to individual SKUs.
Monitor in-stock status, low stock warnings, and click-and-collect eligibility across the entire product range.
Specific extraction logic for beauty volumes, ingredients, and home goods specifications alongside standard apparel data.
Track new season arrivals, brand exclusions from promotions, and designer-specific pricing strategies.
Extract product rankings, filter options, and total product counts for any category or keyword search.
Identify clearance items quickly to monitor markdown strategies and end-of-season pricing.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide categories, designer brands, or search terms. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and anti-bot handling for fenwick.co.uk.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
UK luxury retailers invest in scraping detection and complex front-end frameworks. Here is how we stay resilient.
Retail sites use bot protection to block datacenter IPs. Our crawlers use UK residential ISP proxies with realistic browser fingerprints, ensuring high success rates and avoiding geo-blocking.
Fenwick relies on JavaScript to load product grids, size selectors, and stock status. We run full Playwright browser sessions to trigger lazy-loading and hydrate variant data accurately.
Apparel data is heavily nested. We flatten parent products into distinct SKU records for every size and colour combination, ensuring your database receives clean, queryable rows.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, layout changes, and coverage drops, adapting our selectors before your data feed is interrupted.
Retailers track Fenwick pricing, promotional events, and markdown strategies to optimise their own pricing engines.
Luxury brands audit retail partners to ensure minimum advertised price compliance and correct brand representation.
Fashion analysts monitor new arrivals, popular categories, and out-of-stock rates to identify emerging consumer trends.
Supply chain teams track stock depth and replenishment cycles across designer brands to inform wholesale purchasing.
Machine learning teams use structured product descriptions, attributes, and images to train visual search and tagging models.
Consultancies analyse brand presence, SKU counts, and category dominance within premium UK department stores.
"Fenwick holds critical pricing and availability signals for premium UK fashion and beauty, but extracting it requires navigating aggressive anti-bot layers."
Most teams underestimate the investment required: reliable Fenwick scraping requires UK residential proxies, full JavaScript rendering for size grids, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our fenwick.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 retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for complex size grids.
We maintain pools of residential ISP proxies specifically for UK retail targets. Rotation happens per request to prevent IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About fenwick.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and catalogue data is generally permissible. DataFlirt targets only public, non-authenticated product information. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to ensure high extraction success rates.
Yes. We map complex product grids into flat, structured SKU records, ensuring every available size and colour combination is captured with its specific stock status and price.
Daily catalogue refreshes complete within a 4 to 6 hour window. For specific high-priority brands or categories, we can configure sub-hourly tracking for price and stock signals.
Yes. We extract clearance flags, percentage discounts, and specific sale event labels associated with the product listing.
Yes. We provide a sample run of up to 500 SKUs or specific designer categories to validate schema fit and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily price feed or a complete catalogue extraction across designer brands, we scope, build, and operate the pipeline. Tell us what you need.
