We extract loose diamond inventories, designer settings, ASET imagery, and AGS grading reports from Whiteflash. 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 whiteflash.com. All fields typed and schema-versioned.
"sku": "AGS-10411234", "shape": "Round", "carat": 1.24, "colour": "G", "clarity": "VS1", "cut": "Ideal", "price_wire": 9450.0, "lab": "AGS"
| # | sku | shape | carat | cut | colour | clarity |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Designer Settings objects from whiteflash.com. All fields typed and schema-versioned.
"brand": "Tacori", "collection": "Dantela", "style_name": "Petite Dantela Crown", "metal_type": "18k White Gold", "price": 2190.0, "bandwidth_mm": 2.0, "side_stone_ct": 0.15
| # | item_id | brand | collection | style_name | metal_type | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Imagery & Media objects from whiteflash.com. All fields typed and schema-versioned.
"sku": "AGS-10411234", "aset_image_url": "https://cdn.whiteflash.com/aset/10411234.jpg", "ideal_scope_url": "https://cdn.whiteflash.com/ideal/10411234.jpg", "video_360_url": "https://cdn.whiteflash.com/video/10411234.mp4", "report_pdf_url": "https://cdn.whiteflash.com/certs/AGS-10411234.pdf", "primary_image_url": "https://cdn.whiteflash.com/primary/10411234.jpg"
| # | sku | primary_image_url | aset_image_url | ideal_scope_url | hearts_image_url | arrows_image_url |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for A CUT ABOVE Metrics objects from whiteflash.com. All fields typed and schema-versioned.
"sku": "AGS-10411234", "collection_tier": "A CUT ABOVE", "light_performance": "Excellent", "crown_angle": 34.5, "pavilion_angle": 40.8, "girdle_thickness": "Thin to Medium"
| # | sku | collection_tier | optical_symmetry | light_performance | crown_angle | pavilion_angle |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Availability objects from whiteflash.com. All fields typed and schema-versioned.
"sku": "AGS-10411234", "in_stock": true, "price_credit": 9742.0, "price_wire": 9450.0, "bank_wire_discount_pct": 3.0, "upgrade_eligible": true
| # | sku | item_type | in_stock | ships_by_date | price_credit | price_wire |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Whiteflash scraper handles the complexities of diamond search grids, optical imagery resolution, and designer jewellery metadata. We capture the complete catalogue with zero manual intervention.
Capture the full virtual and in-house inventory including carat, cut, colour, clarity, and dimensions.
Extract high-resolution ASET, Ideal Scope, and Hearts and Arrows imagery URLs for optical performance analysis.
Track both bank wire and credit card pricing, calculating exact discount margins per item.
Scrape Tacori, Verragio, and Simon G setting details including metal variants, side stone carat weight, and bandwidth.
Extract GIA and AGS certificate numbers directly from the listing metadata for verification cross-referencing.
Isolate Whiteflash's proprietary super-ideal cut inventory from standard virtual selections.
Monitor real-time availability and estimated shipping dates for custom-built rings.
Capture the direct CDN URLs for interactive diamond inspection videos.
Identify new diamond additions and sold stones daily without pulling the entire catalogue from scratch.
Brief in. Clean data out.
Specify target parameters: A CUT ABOVE only, specific carat ranges, or full designer setting catalogues.
We configure Scrapy crawlers, handle search pagination, and map the complex diamond specification tables.
Verify data types against AGS/GIA standards, ensuring angles and percentages match valid ranges.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on a daily or hourly schedule.
Diamond retailers use complex AJAX filters and dynamic rendering. Here is how we ensure reliable data extraction.
Whiteflash uses complex AJAX-based filtering for diamond searches. We interact directly with the API payloads to extract the full dataset without unnecessary browser overhead.
Optical imagery is often lazy-loaded or obscured via CDN parameters. Our pipeline reconstructs the high-resolution source URLs for ASET and Ideal Scope files.
Jewellery specifications vary wildly between designer brands. We normalise Tacori and Verragio metadata into a single predictable schema.
Diamond prices fluctuate with Rapaport changes. We maintain historical price ledgers to detect margin adjustments over time.
Like all premium retailers, Whiteflash employs rate limiting. We distribute requests across residential proxies to maintain uninterrupted extraction.
Compare Whiteflash diamond pricing against James Allen and Blue Nile for identical GIA/AGS specifications.
Aggregate ASET and Ideal Scope imagery to train machine learning models on diamond light performance.
Virtual diamond brokers sync Whiteflash inventory feeds to their own platforms via our API.
Designers track their Tacori and Verragio catalogues to ensure MAP compliance and correct representation.
Track price movements of investment-grade diamonds across specific carat and clarity brackets.
Analyse the ratio of lab-grown to natural diamonds entering the premium market segment.
"Whiteflash holds the benchmark for optical performance data. Extracting their ASET imagery and AGS specifications transforms subjective diamond buying into quantitative market analysis."
Scraping premium diamond retailers requires structured extraction of complex optical parameters and reverse-engineering of AJAX search grids. DataFlirt handles the proxy rotation, schema mapping, and daily diffing so your team can focus on pricing intelligence.
Everything supported by our whiteflash.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.
Orchestrating deep crawls of AJAX-heavy diamond search interfaces with precise request timing.
ISP-grade IPs ensure zero rate-limiting while parsing 40,000+ diamond detail pages daily.
Airflow schedules daily inventory diffs, pushing clean Parquet files to S3 via AWS Lambda workers.
Data delivered to where your team already works — no new tooling required.
About whiteflash.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We capture the direct CDN URLs for all optical performance images, including Hearts and Arrows and 360-degree videos.
We bypass the frontend UI and interact directly with the backend JSON endpoints, allowing us to extract the entire 35,000+ diamond inventory rapidly.
Yes. The pipeline captures the origin classification, allowing you to segment natural A CUT ABOVE diamonds from lab-grown alternatives.
Absolutely. Our change-detection system logs historical pricing per SKU, capturing adjustments to both bank wire and credit card prices.
For full catalogue runs, we recommend daily execution. Targeted queries for specific carat ranges can be run hourly.
We extract the report numbers and certificate PDF URLs. Full OCR of the certificate documents requires an additional pipeline module.
Yes. We extract the full catalogue of settings, including brand, metal variants, side-stone specifications, and compatible diamond shapes.
Extracting public inventory and pricing data is generally permissible. We do not bypass authentication to access wholesale or customer accounts.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 40,000 diamonds, we scope, build, and operate the pipeline. Tell us what you need.
