We extract natural and lab-grown diamond listings, vendor pricing, gemological specifications, and ring settings from Rarecarat. 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 Diamond Inventory objects from rarecarat.com. All fields typed and schema-versioned.
"diamond_id": "RC-948271", "shape": "Round", "carat": 1.5, "colour": "D", "clarity": "VVS1", "cut": "Ideal", "price": 4500.0, "vendor_name": "Brilliance", "diamond_type": "Lab-Grown"
| # | diamond_id | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Vendor Data objects from rarecarat.com. All fields typed and schema-versioned.
"diamond_id": "RC-948271", "vendor_name": "Brilliance", "current_price": 4500.0, "original_price": 5000.0, "discount_pct": 10, "wire_price": 4365.0, "shipping_days": 5, "in_stock": true
| # | diamond_id | vendor_name | current_price | original_price | discount_pct | wire_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Certificate Specs objects from rarecarat.com. All fields typed and schema-versioned.
"cert_id": "IGI-492817492", "grading_lab": "IGI", "symmetry": "Excellent", "polish": "Excellent", "fluorescence": "None", "measurements": "7.34 x 7.38 x 4.56 mm", "table_pct": 57.0, "depth_pct": 61.8
| # | cert_id | grading_lab | symmetry | polish | fluorescence | measurements |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ring Settings objects from rarecarat.com. All fields typed and schema-versioned.
"setting_id": "RS-8832", "name": "Classic Solitaire", "metal_type": "18k Yellow Gold", "style": "Solitaire", "price": 850.0, "vendor": "Grown Brilliance", "band_width": "2.0 mm", "side_stones": false
| # | setting_id | name | metal_type | style | price | vendor |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from rarecarat.com. All fields typed and schema-versioned.
"search_id": "SRCH-092", "filters_applied": "shape=round,carat=1.5-2.0", "position": 1, "diamond_id": "RC-948271", "price": 4500.0, "deal_score": "Great Deal", "scraped_at": "2026-05-12T09:14:33Z"
| # | search_id | filters_applied | position | diamond_id | price | vendor |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Rarecarat scraper handles every layer of the platform: diamond inventory, 4C specifications, vendor pricing, and gemological certificates - with JavaScript rendering and anti-bot circumvention built in.
Shape, carat, colour, clarity, cut, and price scraped across natural and lab-grown diamond categories.
Capture current price, wire price, discounts, and vendor name for every diamond listing on the platform.
Extract deep specifications from GIA and IGI certificates, including table percentage, depth percentage, and fluorescence.
Extract setting styles, metal types, side stone details, and pricing across all vendor catalogues.
Capture Rarecarat's proprietary deal scores and algorithm classifications for market positioning analysis.
Scrape inventory based on specific parameter combinations like L/W ratio, fluorescence levels, and symmetry grades.
Extract pricing in USD, CAD, GBP, or AUD depending on target market requirements.
Monitor stock status, shipping timelines, and return policies per vendor.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide carat ranges, shapes, or vendor targets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for rarecarat.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Rarecarat aggregates data from dozens of vendors and protects it with modern anti-bot infrastructure. Here is how we extract it reliably.
Rarecarat relies heavily on client-side rendering for its infinite-scroll inventory grids. We use Playwright to execute JavaScript, hydrate the DOM, and intercept backend API responses directly.
Aggressive scraping triggers IP bans. We distribute requests across a pool of US-based residential proxies, pacing concurrency to mimic organic user browsing behaviour.
Data formats vary slightly depending on the underlying vendor. Our extraction logic normalises fields like shipping times and return policies into a consistent schema.
For large diamond catalogues, we maintain a hash index of last-seen values per diamond ID. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes or coverage drops and respond before you notice.
Jewelry retailers monitor competitor pricing across natural and lab-grown categories to adjust their own margins.
Analysts track inventory volume shifts between lab-grown and natural diamonds to measure consumer demand trends.
Brands monitor aggregate platforms to ensure vendors adhere to pricing agreements and MAP policies.
ML teams use structured 4C data and pricing to train valuation models and recommendation engines.
Wholesalers track market saturation of specific carat weights and cuts to optimise procurement.
Firms track high-value natural diamond pricing trends as alternative asset indicators.
"Rarecarat aggregates the fragmented diamond market into a single interface, making it the highest-signal pricing dataset in the jewelry industry."
Extracting this data requires navigating infinite-scroll grids, intercepting React state, and bypassing strict rate limits. DataFlirt manages the proxies, the JavaScript execution, and the schema normalisation so your engineering team receives clean, warehouse-ready data.
Everything supported by our rarecarat.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 API interception.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to bypass rate limits.
Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About rarecarat.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 ring listings. We do not extract personal data or circumvent authentication walls.
We use US-based residential ISP proxies and Playwright browser sessions with realistic fingerprints. We pace requests to mimic human behaviour and intercept backend API calls directly where possible.
Yes. Our pipeline extracts inventory across both categories, maintaining the classification flag in the final dataset.
Full catalogue refreshes at daily cadence complete within a 4-8 hour window depending on target volume. More frequent runs can be configured for specific high-value filter combinations.
Yes. We extract the deep specifications listed on the certificate pages, including table percentage, depth percentage, symmetry, and polish grades.
Our minimum engagement typically starts at a defined weekly extraction of a specific inventory subset. Contact us with your target parameters for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off inventory export or a continuous price-monitoring feed across vendors - we scope, build, and operate the pipeline. Tell us what you need.
