We extract fine jewellery specifications, carat weights, collection metadata, and regional pricing from Graff. 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 Jewellery Listings objects from graff.com. All fields typed and schema-versioned.
"sku": "RGP456", "title": "Butterfly Silhouette Diamond Pendant", "collection": "Butterfly", "category": "Necklaces", "metal_type": "White Gold", "price": 8500.0, "currency": "GBP", "price_on_request": false, "in_stock": true
| # | sku | title | collection | category | metal_type | price |
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Complete list of extractable fields for Diamond Specifications objects from graff.com. All fields typed and schema-versioned.
"sku": "RNG789", "title": "Icon Round Diamond Engagement Ring", "total_carat_weight": 2.5, "centre_stone_carat": 2.0, "colour_grade": "D", "clarity_grade": "Flawless", "diamond_shape": "Round Brilliant", "setting_type": "Pavé"
| # | sku | title | total_carat_weight | centre_stone_carat | colour_grade | clarity_grade |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Luxury Watches objects from graff.com. All fields typed and schema-versioned.
"sku": "WCH123", "model_name": "Graff Floral Automatic", "collection": "Floral", "movement_type": "Automatic", "case_material": "Rose Gold", "case_diameter_mm": 37, "dial_colour": "Mother of Pearl", "power_reserve_hours": 42
| # | sku | model_name | collection | movement_type | case_material | case_diameter_mm |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Boutique Locations objects from graff.com. All fields typed and schema-versioned.
"boutique_id": "BTQ-LON-01", "name": "Graff New Bond Street", "city": "London", "country": "United Kingdom", "latitude": 51.5111, "longitude": -0.1435, "phone": "+44 20 7584 8571", "services_offered": "['Bespoke Design', 'Cleaning', 'Valuation']"
| # | boutique_id | name | address | city | country | phone |
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Complete list of extractable fields for Pricing & Inventory objects from graff.com. All fields typed and schema-versioned.
"sku": "RGP456", "region": "UK", "regional_price": 8500.0, "currency": "GBP", "tax_included": true, "price_on_request": false, "available_online": true, "last_updated": "2026-05-12T09:14:00Z"
| # | sku | region | regional_price | currency | price_on_request | available_online |
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Our Graff scraper navigates luxury e-commerce structures: handling regional variations, high-resolution media assets, and detailed gemological specifications with full JavaScript rendering.
Extract carat weight, cut, colour, clarity, and shape data from unstructured product descriptions.
Categorise items accurately into Graff collections like Tilda's Bow, Butterfly, and Laurence Graff Signature.
Capture multi-currency pricing across different global markets using geo-targeted proxies.
Identify high-value items where pricing is hidden behind inquiry forms, maintaining clean schema structures.
Resolve CDN URLs to extract maximum resolution imagery for visual analysis and cataloguing.
Parse horological specifications including movement type, power reserve, and case materials.
Map physical store locations and extract in-store availability signals where surfaced.
Normalise metal types (platinum, yellow gold, rose gold) across all product categories.
Run continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target collections, regions, or specific product categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for graff.com.
Schema validation, null-rate checks, and image resolution verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury brands deploy aggressive CDN caching and regional gating. Here is how we ensure data accuracy across global markets.
Luxury pricing varies significantly by region due to taxes and market positioning. We route requests through residential proxies in specific target markets (e.g., UK, US, UAE) to capture accurate local pricing and availability.
Graff uses responsive images and CDN caching. Our parsers extract the highest resolution image URLs from the srcset attributes, ensuring you receive print-quality assets rather than thumbnails.
Modern luxury sites rely heavily on JavaScript for smooth transitions and lazy loading. We use Playwright to render the full DOM, trigger lazy-loaded assets, and capture data that headless HTTP requests miss.
Gemological specifications are often buried in narrative descriptions. We use regex and NLP-based parsers to extract structured fields (carat, cut, clarity) from unstructured HTML blocks.
Every run emits structured logs. We alert on null-rate spikes, missing pricing fields, and coverage drops. SLA uptime is contractual, not aspirational.
Luxury jewellery brands monitor Graff's regional pricing to benchmark their own collections across different global markets.
Brand protection teams track official retail prices and specifications to identify unauthorised resellers and counterfeit goods.
Analysts track new collection launches, material trends, and design shifts in the high-jewellery sector.
Retail strategists analyse Graff's product mix (rings vs necklaces, diamond vs emerald) to identify market gaps.
Computer vision teams use high-resolution Graff imagery and structured metadata to train jewellery recognition models.
Financial analysts track luxury sector inventory levels and pricing power as indicators of high-net-worth consumer demand.
"Graff represents the pinnacle of diamond retail. Extracting this data requires precision — treating every carat, cut, and clarity grade as a critical data point."
Luxury e-commerce platforms prioritise visual experience over structured data. Extracting clean gemological specifications and regional pricing requires full JavaScript rendering, residential proxies mapped to target markets, and custom parsers for unstructured product descriptions. DataFlirt manages this pipeline so your analysts can focus on market positioning.
Everything supported by our graff.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required to maintain regional pricing context.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 graff.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Graff is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product and pricing data. We do not extract personal data or circumvent authentication walls.
We route requests through residential proxies located in the target market (e.g., UK, US, UAE). This ensures the site serves the correct currency, tax inclusion rules, and regional availability.
We extract all available metadata (carat, cut, materials) and flag the price field as 'Price on Request'. We do not automate inquiry form submissions to retrieve hidden prices, as this violates standard terms of service.
For a catalogue of Graff's size, full refreshes can be run daily or weekly. The entire public catalogue typically extracts within a 2-hour window.
Yes. We parse the CDN image arrays to extract the maximum resolution URLs available, which is critical for visual analysis and AI training models.
Our smallest packages start at weekly delivery of the full public catalogue. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily price monitor or a one-off catalogue extraction of Graff's diamond collections — we scope, build, and operate the pipeline. Tell us what you need.
