We extract loose diamond specifications, setting details, pricing signals, and certification data from James Allen. 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 jamesallen.com. All fields typed and schema-versioned.
"sku": "18492014", "shape": "Round", "carat": 1.2, "colour": "F", "clarity": "VS1", "cut": "Ideal", "polish": "Excellent", "symmetry": "Excellent", "fluorescence": "None", "price": 8450.0
| # | sku | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Engagement Settings objects from jamesallen.com. All fields typed and schema-versioned.
"sku": "14K-WG-1928", "title": "14K White Gold Pave Engagement Ring", "metal_type": "14K White Gold", "style": "Pave", "price": 1450.0, "wire_price": 1421.0, "average_width": "2.0mm", "prong_metal": "14K White Gold"
| # | sku | title | metal_type | style | price | wire_price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Fine Jewellery objects from jamesallen.com. All fields typed and schema-versioned.
"sku": "FJ-ER-992", "category": "Earrings", "title": "Diamond Stud Earrings", "metal": "18K Yellow Gold", "gemstone": "Diamond", "total_carat_weight": 1.5, "price": 2800.0
| # | sku | category | title | metal | gemstone | total_carat_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Certifications & Media objects from jamesallen.com. All fields typed and schema-versioned.
"sku": "18492014", "diamond_id": "D-192847", "certificate_number": "GIA-2489102938", "grading_lab": "GIA", "certificate_pdf_url": "https://certificates.jamesallen.com/gia/2489102938.pdf", "image_360_url": "https://seg.jamesallen.com/diamonds/18492014/360.html", "loupe_magnification": "40x"
| # | sku | diamond_id | certificate_number | grading_lab | certificate_pdf_url | image_360_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Availability objects from jamesallen.com. All fields typed and schema-versioned.
"sku": "18492014", "retail_price": 8450.0, "wire_transfer_price": 8281.0, "discount_pct": 0, "in_stock": true, "shipping_days": 5, "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | retail_price | wire_transfer_price | discount_pct | in_stock | shipping_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our James Allen scraper handles the heavy JavaScript rendering required to extract complete diamond specifications, 360-degree media paths, and real-time pricing across their entire catalogue.
Extract carat, cut, colour, clarity, polish, symmetry, fluorescence, table percentage, and depth percentage for every unique stone.
Capture the underlying CDN URLs for James Allen's proprietary 360-degree interactive diamond viewers and high-resolution imagery.
Extract grading laboratory details (GIA, IGI, AGS) and direct links to the official certificate PDF documents.
Track both standard credit card retail prices and wire transfer discount prices, updated on your required cadence.
Strictly categorise inventory by origin, allowing for distinct margin and pricing analysis across natural and lab-grown markets.
Extract engagement ring setting styles, metal types (14K, 18K, Platinum), average widths, and prong configurations.
Monitor real-time inventory status for unique diamonds to track sales velocity and stock depth.
Maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and storage bloat.
Bypass strict Web Application Firewalls and bot protection using residential proxies and human-like interaction patterns.
Map matching bands and alternative metal variations back to parent setting SKUs for a complete relational dataset.
Brief in. Clean data out.
Provide target categories, shape preferences, or specific carat ranges. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and XHR interception to handle James Allen's dynamic frontend.
Schema validation, null-rate checks for missing GIA certificates, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting high-value jewellery data requires precision. Here is how we bypass bot protection and render complex 360-degree media viewers at scale.
Retail sites deploy aggressive bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to ensure uninterrupted extraction.
James Allen's diamond grids and filter systems are heavily JavaScript-rendered. We run full Playwright browser sessions to hydrate the React frontend and trigger lazy-loaded inventory.
The 360-degree diamond viewer relies on complex background network requests. We intercept the XHR traffic directly within the browser session to extract the raw CDN URLs for high-resolution imagery and videos.
For large diamond catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, providing a clean changelog of price drops or inventory changes rather than full re-dumps.
A missing decimal in a carat weight invalidates the dataset. Every run emits structured logs to our observability stack, alerting on null-rate spikes or schema drift before the data reaches your warehouse.
Jewellery retailers and wholesalers track diamond price curves across carat weights, cuts, and clarity grades to benchmark their own inventory.
Analysts compare pricing trends and discount depths between earth-created and lab-grown diamonds to forecast market shifts.
Marketplaces and virtual jewellers aggregate loose diamond feeds to display comprehensive stock without holding physical inventory.
Designers track popular engagement setting styles, metal preferences, and matching band pairings to inform future product lines.
Data science teams train pricing algorithms and computer vision models using the vast corpus of diamond specifications and 360-degree imagery.
Buyers identify underpriced loose diamonds based on strict cut proportions and fluorescence grades for profitable resale.
"James Allen holds one of the most comprehensive digital diamond inventories online, but extracting their 360-degree media and exact GIA specifications requires rendering their complex frontend."
Extracting fine jewellery data requires extreme precision. A missing decimal in a carat weight or a miscategorised clarity grade invalidates the dataset. DataFlirt handles the heavy JavaScript rendering, CDN media extraction, and bot mitigation so your team receives structured, production-ready diamond records.
Everything supported by our jamesallen.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, XHR interception, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required to prevent WAF blocks.
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 jamesallen.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available inventory and pricing data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated diamond and jewellery data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review James Allen's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. This allows us to reliably bypass WAF challenges without interrupting the data pipeline.
Yes. While the viewer itself is a complex frontend component, we intercept the underlying network requests during the browser session to extract the direct CDN URLs for the high-resolution images and video files.
Full catalogue refreshes can be configured at a daily cadence, completing within a 4-8 hour window depending on category size. We also support higher-frequency runs for targeted subsets of high-value SKUs.
Yes. Our schema strictly categorises diamonds by origin based on the metadata provided, ensuring your analysis accurately reflects the distinct pricing curves of each market.
Yes. We extract the grading laboratory name, the unique certificate number, and the direct URL to the PDF grading report where available.
Our smallest packages start at a defined category scope, typically updated weekly. For full-catalogue daily extraction, we price based on compute volume and proxy bandwidth. Contact us with your specific use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of loose diamond pricing or a complete extraction of engagement settings, we scope, build, and operate the pipeline. Tell us what you need.
