We extract loose diamond listings, signature cut specifications, ring settings, and AGS/GIA report data from Brian Gavin Diamonds. 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 Loose Diamonds objects from briangavindiamonds.com. All fields typed and schema-versioned.
"sku": "BGD-104829", "shape": "Round", "carat": 1.25, "colour": "G", "clarity": "VS1", "price": 12450.0, "lab": "AGS"
| # | sku | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Signature Collections objects from briangavindiamonds.com. All fields typed and schema-versioned.
"collection_name": "Black by Brian Gavin", "diamond_sku": "BGD-104829", "hearts_and_arrows_flag": true, "ags_report_number": "1041123456", "premium_pricing": true, "in_stock": true
| # | collection_name | diamond_sku | hearts_and_arrows_flag | light_performance | ags_report_number | video_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ring Settings objects from briangavindiamonds.com. All fields typed and schema-versioned.
"setting_id": "RS-8821", "name": "Classic Solitaire", "metal_type": "18K White Gold", "style": "Solitaire", "price_18k": 1150.0, "side_stone_ct": 0.0
| # | setting_id | name | metal_type | style | designer | price_14k |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Lab Reports objects from briangavindiamonds.com. All fields typed and schema-versioned.
"report_id": "1041123456", "lab_name": "AGS", "culet": "Pointed", "girdle": "Thin to Medium", "polish": "Ideal", "symmetry": "Ideal", "pdf_url": "https://agslab.com/report/1041123456.pdf"
| # | report_id | lab_name | issue_date | measurements | culet | girdle |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from briangavindiamonds.com. All fields typed and schema-versioned.
"sku": "BGD-104829", "base_price": 12835.0, "wire_transfer_price": 12450.0, "currency": "USD", "stock_status": "In Stock", "scrape_timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | wire_transfer_price | discount_applied | currency | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our infrastructure handles the dynamic JavaScript grids, 3D asset rendering, and complex grading report structures required to extract clean inventory data from Brian Gavin Diamonds.
Extract carat, cut, colour, clarity, polish, symmetry, and fluorescence metrics across the entire available stone catalogue.
Identify and flag stones belonging to the Black by Brian Gavin, Signature Hearts and Arrows, and Advance collections.
Capture dynamic pricing for engagement ring settings based on metal selection (14K, 18K, Platinum) and side stone configurations.
Extract structured data points directly from linked AGS and GIA certification PDFs, including precise measurements and culet details.
Capture URLs for 360-degree diamond videos, ideal scope images, and ASET imagery associated with each specific SKU.
Extract both the standard credit card price and the discounted wire transfer price for accurate market comparison.
Capture specific cut flags and light performance metrics that define premium diamond inventory.
Monitor real-time inventory status and estimated shipping timelines for both loose stones and custom settings.
Match specific ring settings to their respective designer collections and capture associated premium branding.
Run continuous pipelines at daily or hourly cadences with change-detection diffing to monitor price fluctuations.
Brief in. Clean data out.
Provide target collections, specific shape filters, or setting categories. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management to navigate dynamic diamond grids.
Schema validation, null-rate checks, and lab report parsing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
High-end diamond retailers use complex front-end frameworks to display inventory. Here is how we ensure reliable data extraction.
Diamond search interfaces rely heavily on JavaScript to filter and load inventory. We run full Playwright browser sessions to execute scripts, trigger lazy-loading, and extract data that static HTML parsers miss.
Critical diamond specifications are often locked inside AGS or GIA report PDFs. Our pipeline downloads these documents, parses the text layer, and structures the findings directly into your final dataset.
Ring setting prices change based on the selected metal type and ring size. Our crawlers interact with these UI elements to capture the complete pricing matrix for every setting design.
Frequent scraping of large inventory catalogues triggers rate limits. We use residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain continuous access.
For extensive diamond catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price updates or stock changes, reducing downstream processing load.
Jewelry retailers track premium cut pricing and wire transfer discounts to optimise their own pricing strategies.
Marketplaces aggregate loose stone inventory and AGS/GIA specifications to build comprehensive consumer search tools.
Drop-shippers and affiliate partners maintain accurate stock levels and availability timelines for custom settings.
Analysts track the introduction and pricing of new designer collections and metal preferences over time.
Data science teams use historical diamond pricing based on 4Cs and cut proportions to train automated valuation models.
Buyers monitor specific carat weights and clarity grades to identify market gaps and procurement opportunities.
"Brian Gavin Diamonds holds some of the most strictly graded signature cuts in the industry. Capturing this data requires precise extraction of AGS metrics, not just basic web scraping."
Extracting fine jewelry data means navigating dynamic diamond grids, rendering 3D asset viewers, and parsing complex grading reports. DataFlirt manages the entire infrastructure layer, ensuring your database receives clean, normalised diamond specifications without the maintenance overhead of building custom crawlers.
Everything supported by our briangavindiamonds.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 and deduplication. Playwright handles JavaScript rendering for dynamic diamond grids and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request to ensure continuous access to large inventory catalogues.
Pipelines run on AWS Lambda and ECS. 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 briangavindiamonds.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and inventory information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated diamond and setting data. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to execute the JavaScript required to load the diamond inventory grid, trigger pagination, and extract the resulting data.
Yes. Our pipeline identifies the links to the PDF lab reports, downloads them, and parses the text layer to extract structured measurements, culet, and girdle data.
Yes. We extract the standard base price as well as the discounted wire transfer price displayed for each diamond and setting.
We can configure continuous pipelines at daily or hourly cadences, depending on your requirements for monitoring stock availability and price changes.
We extract the direct source URLs for the 360-degree videos, ASET images, and ideal scope photography associated with each SKU.
Our minimum engagement starts with a defined extraction scope and weekly delivery cadence. Contact us with your specific data requirements for a tailored quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of signature cut diamonds or a comprehensive scrape of all ring settings, we scope, build, and operate the pipeline. Tell us what you need.