We extract loose diamond specifications, transparent pricing breakdowns, engagement ring settings, and fine jewellery catalogues from Ritani. 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 ritani.com. All fields typed and schema-versioned.
"sku": "1.50-Round-D-VVS2-Ideal", "shape": "Round", "carat": 1.5, "colour": "D", "clarity": "VVS2", "cut": "Ideal", "price": 12450.0, "lab": "GIA"
| # | sku | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Engagement Rings objects from ritani.com. All fields typed and schema-versioned.
"sku": "1RZ2345-PT", "style": "Solitaire", "metal": "Platinum", "price": 850.0, "bandwidth_mm": 2.0, "prong_type": "4-Prong", "min_carat": 0.5
| # | sku | style | metal | price | description | min_carat |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Transparent Pricing objects from ritani.com. All fields typed and schema-versioned.
"sku": "1.50-Round-D-VVS2-Ideal", "diamond_cost": 10500.0, "fulfillment_cost": 150.0, "markup": 1800.0, "final_price": 12450.0, "margin_pct": 14.4, "currency": "USD"
| # | sku | diamond_cost | fulfillment_cost | markup | final_price | margin_pct |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Fine Jewellery objects from ritani.com. All fields typed and schema-versioned.
"sku": "ER-DIA-STUD-1CT", "title": "1 Carat Diamond Stud Earrings", "category": "Earrings", "metal": "18k White Gold", "total_carat_weight": 1.0, "price": 1200.0, "in_stock": true, "gemstone_type": "Natural Diamond"
| # | sku | title | category | metal | gemstone_type | total_carat_weight |
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Complete list of extractable fields for Certificates objects from ritani.com. All fields typed and schema-versioned.
"sku": "1.50-Round-D-VVS2-Ideal", "certificate_number": "2435678912", "lab": "GIA", "depth_pct": 61.5, "table_pct": 57.0, "culet": "None", "girdle": "Medium", "report_date": "2023-11-14"
| # | sku | certificate_number | lab | dimensions | depth_pct | table_pct |
|---|---|---|---|---|---|---|
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Our Ritani scraper captures the complete 4Cs matrix, transparent pricing breakdowns, and high-resolution visual assets — engineered for daily inventory synchronization.
Extract comprehensive specifications for both natural and lab-grown diamonds: shape, carat, colour, clarity, cut, polish, symmetry, and fluorescence.
Scrape Ritani's unique transparent pricing metrics, including wholesale diamond cost, fulfillment costs, operational markup, and the final retail price.
Extract direct URLs to GIA, IGI, and AGS grading reports, alongside parsed certificate numbers and physical dimension ratios.
Capture high-resolution image arrays and 360-degree interactive video URLs for individual diamonds and ring settings.
Map engagement ring metadata including metal types (Platinum, 18k Gold), bandwidth dimensions, prong styles, and compatible diamond shapes.
Track real-time stock status for unique stones to maintain accurate downstream inventory models and prevent stale listings.
Extract pricing, metal purity, total carat weight, and gemstone details across earrings, necklaces, bracelets, and wedding bands.
Execute full Playwright sessions to hydrate dynamic diamond grids, infinite scroll pagination, and client-side filtering logic.
Run continuous pipelines at hourly or daily cadences with hash-based diffing to track inventory churn and price fluctuations.
Brief in. Clean data out.
Specify diamond shapes, carat ranges, lab preferences, or jewellery categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management tailored for ritani.com's dynamic inventory grids.
Schema validation, null-rate checks, and pricing anomaly detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
High-churn diamond inventory and dynamic client-side rendering require specialized infrastructure. Here is how we maintain pipeline stability.
Ritani's diamond search relies heavily on client-side rendering and infinite scroll. We run full Playwright browser sessions to trigger lazy-loading and extract the complete JSON payloads driving the frontend.
To bypass rate limiting on high-volume inventory scans, our crawlers utilize US-based residential ISP proxies with realistic browser fingerprints and randomized request timing.
We target the underlying structured data and API responses rather than brittle DOM elements, ensuring accurate extraction of the 4Cs and transparent pricing metrics even if the UI changes.
Loose diamonds are unique, high-churn items. We maintain a hash index of active SKUs, emitting diffs for sold stones, new inventory additions, and price adjustments to keep your database synchronized.
We alert on null-rate spikes, missing certificate links, and unusual markup fluctuations, ensuring data integrity before it reaches your warehouse.
Marketplaces and aggregators track Ritani's transparent pricing to establish baseline wholesale costs and retail markups across the industry.
Jewellery retailers monitor pricing strategies for specific carat, cut, and clarity combinations to optimize their own inventory positioning.
Virtual inventory platforms synchronize Ritani's loose diamond feed to populate consumer-facing search engines.
Analysts track the volume and pricing parity between natural and lab-grown diamonds over time.
Insurers and appraisers use historical pricing data linked to GIA/IGI certificates to build accurate valuation algorithms.
Buyers identify underpriced stones or low-markup inventory for acquisition and resale.
"Ritani's transparent pricing model offers unprecedented visibility into diamond markups and wholesale costs — but extracting this granular inventory requires purpose-built infrastructure."
Most teams underestimate the investment required: reliable Ritani scraping requires residential proxies, full JavaScript rendering for 360-degree viewers, daily selector maintenance, and anomaly monitoring for high-churn diamond inventory. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our ritani.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, infinite scroll, and interaction flows for the diamond search interface.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to prevent IP bans during high-volume inventory extraction.
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 ritani.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available inventory and pricing information from Ritani is generally permissible under applicable law. DataFlirt targets only public, non-authenticated diamond and jewellery data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
Ritani's inventory search relies heavily on client-side rendering. We use full Playwright browser sessions to execute JavaScript, trigger infinite scrolling, and intercept the underlying JSON API responses that populate the frontend.
Yes. We capture the direct URLs to GIA, IGI, and AGS grading reports, as well as parsing the certificate numbers directly from the diamond detail pages.
Loose diamonds are unique items with high turnover. We can configure pipelines to run daily or at custom intra-day intervals, emitting diffs for newly added stones, sold inventory, and price adjustments.
Yes. We extract Ritani's transparent pricing breakdowns, including the wholesale diamond cost, fulfillment overhead, operational markup, and final retail price.
Our packages start at defined category extractions (e.g., all natural round diamonds) with weekly delivery. For full catalogue tracking across all shapes and settings, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of loose diamond inventory or a targeted extraction of engagement ring settings — we scope, build, and operate the pipeline. Tell us what you need.
