We extract luxury watch metadata, diamond specifications, pricing signals, finance terms, and stock availability from Ernest Jones. 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 ernestjones.co.uk. All fields typed and schema-versioned.
"sku": "8124950", "brand": "OMEGA", "model": "Seamaster Diver 300m", "case_material": "Stainless Steel", "dial_colour": "Blue", "movement": "Automatic", "water_resistance": "300m", "strap_type": "Rubber", "price": 4900.0
| # | sku | brand | model | case_material | dial_colour | movement |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Diamond Jewellery objects from ernestjones.co.uk. All fields typed and schema-versioned.
"sku": "9218341", "title": "Platinum 1ct Total Diamond Solitaire Ring", "metal": "Platinum", "diamond_cut": "Round Brilliant", "diamond_colour": "H", "diamond_clarity": "SI1", "carat_weight": 1.0, "ring_size": "M", "price": 4500.0
| # | sku | title | metal | diamond_cut | diamond_colour | diamond_clarity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Finance objects from ernestjones.co.uk. All fields typed and schema-versioned.
"sku": "8124950", "price": 4900.0, "deposit_amount": 490.0, "loan_amount": 4410.0, "monthly_payment": 122.5, "term_months": 36, "apr": 0.0, "total_payable": 4900.0, "provider": "V12 Retail Finance"
| # | sku | price | deposit_amount | loan_amount | monthly_payment | term_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Stock objects from ernestjones.co.uk. All fields typed and schema-versioned.
"sku": "8124950", "store_id": "EJ104", "store_name": "London Oxford Street", "postcode": "W1C 1JN", "distance_miles": 1.2, "in_stock": true, "click_collect_eligible": true, "stock_level": "Low Stock"
| # | sku | store_id | store_name | postcode | distance_miles | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Metadata & Categories objects from ernestjones.co.uk. All fields typed and schema-versioned.
"sku": "8124950", "url": "https://www.ernestjones.co.uk/omega-seamaster...", "category": "Watches", "sub_category": "Mens Watches", "brand_collection": "Seamaster", "gender": "Mens", "images": "['url1.jpg', 'url2.jpg']", "scraped_at": "2026-05-12T09:14:33Z"
| # | sku | url | category | sub_category | brand_collection | gender |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ernest Jones scraper captures the granular specifications required for luxury retail analysis, from watch movement types to diamond clarity grades, alongside dynamic finance calculator outputs.
Extract case size, movement type, water resistance, crystal material, and strap details for high-end brands like OMEGA, Breitling, and TAG Heuer.
Capture carat weight, cut, colour, and clarity grades for engagement rings and diamond jewellery directly from product specification tables.
Hydrate dynamic V12 Retail Finance calculators to extract deposit requirements, monthly payments, term lengths, and APR for high-ticket items.
Query stock levels across the Ernest Jones UK store network by injecting postcodes into the local availability API.
Monitor RRP, current price, discount percentages, and active promotional banners applied to specific SKUs.
Categorise products by primary brand and sub-collection hierarchies to understand catalogue distribution.
Extract all available ring sizes and map stock availability to specific size variants rather than generic parent SKUs.
Run daily diffs to identify new product lines, discontinued models, and price adjustments without processing the entire catalogue.
Bypass UK retail bot protection using residential proxies and TLS fingerprint spoofing to ensure uninterrupted data flow.
Brief in. Clean data out.
Specify target categories, watch brands, or diamond segments. We map the required specification fields.
We configure crawlers to handle pagination, render finance calculators, and poll store availability APIs.
Schema validation, null-rate checks on critical fields like price and carat weight, and sample review.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from modern UK retail sites requires handling dynamic content, API hydration, and bot mitigation.
Retailers use edge protection to block datacenter IPs. Our crawlers route traffic through UK residential ISP proxies with realistic browser fingerprints to maintain access.
Finance options and local stock availability rely on client-side JavaScript. We run full Playwright browser sessions to hydrate these widgets and extract the resulting data.
Instead of purely scraping the DOM, we intercept internal XHR requests for store availability, injecting a matrix of UK postcodes to map nationwide stock distribution.
Retail DOMs change during sales events. We use multiple fallback chains per field, targeting structured JSON-LD data where available before falling back to CSS selectors.
Every run emits structured logs to our observability stack. We alert on null-rate spikes for critical fields like price and stock status, responding before delivery.
UK jewellers and watch retailers monitor Ernest Jones pricing and promotions to adjust their own retail strategies.
Analysts track brand distribution, price bandings, and catalogue composition to understand trends in the UK luxury sector.
Watch manufacturers audit retail partners to ensure adherence to Minimum Advertised Price policies and promotional guidelines.
Brands compare official retail pricing and stock availability against secondary market platforms to identify supply chain leaks.
Retail analysts track out-of-stock rates across specific brands and models to infer supply constraints or high demand.
Insurers and secondary market platforms ingest retail specifications and current RRPs to train automated jewellery valuation models.
"Ernest Jones holds critical pricing and specification data for the UK luxury watch and jewellery market, but it remains locked behind dynamic DOMs and bot protection."
Most teams underestimate the investment required: reliable Ernest Jones scraping requires residential proxies, full JavaScript rendering for stock and finance calculators, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our ernestjones.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 finance calculators and store stock widgets.
We maintain pools of UK residential ISP proxies to bypass geo-restrictions and edge protection used by major British retailers.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About ernestjones.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, specifications, and stock data is generally permissible. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for their specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour to maintain access to the catalogue.
Yes. We parse the specification tables on product pages to extract precise metadata including movement type, calibre, case size, water resistance, and crystal material.
We intercept the store availability API calls made by the frontend, injecting a predefined list of UK postcodes or store IDs to map stock levels across the retail network.
Yes. We hydrate the V12 Retail Finance calculator widget to extract deposit requirements, monthly payment amounts, term lengths, and APR for applicable high-ticket items.
Full catalogue refreshes typically complete within a 4-8 hour window. For specific high-priority SKUs, we can configure sub-hourly polling for price and stock changes.
Our packages start at defined brand lists or specific categories with weekly delivery. Contact us with your target scope for a precise quote.
Yes. We provide a sample run of up to 500 products as part of the pre-engagement 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 extraction of luxury watch specs or a continuous price-monitoring feed across the entire catalogue, we scope, build, and operate the pipeline.
