We extract luxury watch specifications, diamond 4Cs, pricing signals, and local store stock from Beaverbrooks. 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 Watch Specifications objects from beaverbrooks.co.uk. All fields typed and schema-versioned.
"product_id": "1248921", "brand": "OMEGA", "model_name": "Seamaster Diver 300m", "reference_number": "210.30.42.20.01.001", "movement_type": "Automatic", "case_size_mm": 42, "case_material": "Stainless Steel", "dial_colour": "Black", "water_resistance_m": 300, "price_gbp": 5500.0
| # | product_id | brand | model_name | reference_number | movement_type | case_size_mm |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Diamond Jewellery objects from beaverbrooks.co.uk. All fields typed and schema-versioned.
"product_id": "982134", "title": "18ct White Gold Diamond Solitaire Ring", "category": "Engagement Rings", "metal_type": "18ct White Gold", "total_carat_weight": 0.5, "diamond_cut": "Round Brilliant", "diamond_colour": "G", "diamond_clarity": "VS2", "price_gbp": 2250.0
| # | product_id | title | category | metal_type | hallmark | total_carat_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Finance objects from beaverbrooks.co.uk. All fields typed and schema-versioned.
"product_id": "1248921", "current_price": 5500.0, "finance_available": true, "finance_provider": "V12 Retail Finance", "min_deposit_pct": 10, "term_months": 36, "apr_pct": 0.0, "monthly_payment": 137.5, "total_payable": 5500.0
| # | product_id | current_price | previous_price | discount_pct | finance_available | finance_provider |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Store Availability objects from beaverbrooks.co.uk. All fields typed and schema-versioned.
"product_id": "1248921", "postcode_query": "M1 1AA", "store_name": "Manchester Arndale", "distance_miles": 0.4, "stock_status": "In Stock", "click_and_collect_eligible": true, "earliest_collection_date": "2026-10-15", "store_address": "Unit 24, Arndale Centre, Manchester"
| # | product_id | postcode_query | store_id | store_name | distance_miles | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Brand Collections objects from beaverbrooks.co.uk. All fields typed and schema-versioned.
"brand_name": "Breitling", "collection_name": "Navitimer", "category": "Watches", "gender": "Mens", "product_count": 42, "min_price": 3950.0, "max_price": 16500.0, "collection_url": "https://www.beaverbrooks.co.uk/brands/breitling/navitimer"
| # | brand_name | collection_name | category | gender | product_count | min_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Jewellery and watch data requires strict schema adherence. We parse the 4Cs of diamonds, extract multi-tier finance calculator outputs, and map complex watch reference numbers across the entire Beaverbrooks catalogue.
Capture exact manufacturer reference numbers, movement calibres, case dimensions, and materials for luxury brands like OMEGA, Breitling, and TAG Heuer.
Extract structured data for carat, cut, colour, and clarity from unstructured product descriptions and specification tables.
Scrape dynamic V12 Retail Finance options including 0% APR terms, minimum deposits, and monthly payment schedules per item.
Query stock availability across all 81 UK stores using programmatic postcode injection to track high-demand item locations.
Map available ring sizes (J through Z) against current stock status for specific wedding and engagement ring SKUs.
Track exact retail prices against manufacturer advertised prices for strict-compliance luxury watch and jewellery brands.
Extract CDN URLs for maximum resolution product imagery, essential for visual verification of diamond settings and watch dials.
Monitor seasonal discounts, previous prices, and clearance categorisation across all jewellery segments.
Receive only what changes. We hash product records and deliver daily updates on price shifts, out-of-stock events, and new catalogue additions.
Brief in. Clean data out.
Select target brands, categories (watches, engagement rings), or specific reference numbers. We configure the schema.
We deploy Playwright crawlers to handle Beaverbrooks' dynamic finance widgets and store availability lookups.
We validate diamond specifications against standard grading scales and ensure watch reference numbers are accurately parsed.
Clean JSON, CSV, or Parquet delivered to your S3 bucket, Snowflake stage, or via Webhook on a daily or weekly schedule.
Extracting data from Beaverbrooks requires handling dynamic JavaScript components, strict UK rate limits, and complex product variation matrices.
Finance options on Beaverbrooks are injected via client-side JavaScript based on price thresholds. We use Playwright to execute these scripts and extract the exact deposit, term length, and APR configurations for every product.
Local stock checks require valid UK postcodes and session cookies. Our pipeline rotates through a matrix of regional postcodes, simulating user searches to map inventory across the entire 81-store network.
Beaverbrooks employs strict rate limiting and geoblocking. We route all requests through UK-based residential proxies with realistic TLS fingerprints to ensure uninterrupted access to the catalogue.
Product descriptions vary wildly between a Breitling watch and a Beaverbrooks own-brand diamond ring. We use custom regex and NLP pipelines to normalise case sizes, movement types, and diamond grades into strict column types.
A single ring design may have 5 metal types and 15 sizes, each with different stock levels and prices. We traverse the entire variant matrix to output flat, queryable rows for every specific SKU combination.
High street jewellers track Beaverbrooks pricing, sale events, and finance offers to maintain competitive parity.
Luxury watch manufacturers monitor retail channels to ensure strict adherence to Minimum Advertised Price agreements.
Secondary market watch dealers track official retail stock levels and RRPs to price pre-owned inventory accurately.
Analysts map product availability across physical stores to understand regional demand for specific luxury brands.
Commodity analysts extract retail diamond prices across the 4C matrix to track consumer markup versus wholesale diamond indices.
Fintech firms analyze retail finance terms, deposit requirements, and 0% APR promotional periods in the luxury sector.
"Luxury retail data requires precision. A missing watch reference number or an incorrect diamond clarity grade renders the dataset useless for market analysis."
Extracting structured data from Beaverbrooks means navigating complex product variations, dynamic finance calculators, and regional stock APIs. DataFlirt manages the UK proxies, the Playwright rendering, and the strict schema normalisation, delivering clean data directly to your warehouse.
Everything supported by our beaverbrooks.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 manages the catalogue traversal while Playwright handles the execution of finance calculators and dynamic stock availability widgets.
We route all requests through high-trust UK residential IP pools to maintain session persistence and avoid aggressive retail rate limits.
Pipelines run on AWS ECS with Airflow managing daily schedules, ensuring data is delivered to your warehouse before the UK retail trading day begins.
Data delivered to where your team already works — no new tooling required.
About beaverbrooks.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, product specifications, and stock data from UK retail websites is generally permissible under UK law for market research and competitive analysis. DataFlirt extracts only public, non-authenticated data. We do not extract user accounts or bypass security walls. Clients must ensure their specific use cases comply with relevant regulations.
We typically run full catalogue extractions daily. For specific high-demand items (like limited edition watches), we can configure hourly polling for stock status and price changes.
Yes. The pipeline can be scoped to target specific brand pages (e.g., OMEGA, TAG Heuer, Tudor) or specific categories (e.g., Engagement Rings), reducing run time and data volume.
Beaverbrooks displays ring sizes dynamically based on the selected metal type. Our Playwright crawlers iterate through available metal options and extract the specific stock status for every size (J through Z).
Yes. We execute the client-side JavaScript required to load the V12 Retail Finance options, extracting the minimum deposit required, term lengths, monthly payments, and total payable amounts.
Yes. We use a matrix of UK postcodes to query the local store availability API, mapping which specific Beaverbrooks branches hold physical stock of targeted watch models or jewellery pieces.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily price monitoring for luxury watches or a full extraction of diamond specifications across the catalogue, we build and manage the pipeline. Tell us what you need.
