We extract diamond listings, 4C specifications, GIA/IGI certification details, pricing signals, and seller directories from RapNet. 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 Natural Diamonds objects from rapnet.com. All fields typed and schema-versioned.
"listing_id": "RN-9823741", "shape": "Round", "carat": 1.52, "colour": "D", "clarity": "VVS1", "cut": "Excellent", "lab": "GIA", "total_price": 14500.0, "discount_pct": -22.5
| # | listing_id | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Lab Grown Diamonds objects from rapnet.com. All fields typed and schema-versioned.
"listing_id": "LG-4928173", "shape": "Oval", "carat": 2.1, "colour": "E", "clarity": "VS1", "cut": "Excellent", "growth_type": "CVD", "lab": "IGI", "total_price": 2100.0, "location": "Mumbai"
| # | listing_id | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Jewelry Listings objects from rapnet.com. All fields typed and schema-versioned.
"item_id": "JW-883920", "category": "Ring", "metal_type": "Gold", "metal_purity": "18K", "total_carat_weight": 1.25, "main_stone_shape": "Princess", "price": 3450.0, "seller_id": "SEL-492"
| # | item_id | category | metal_type | metal_purity | total_carat_weight | main_stone_shape |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Seller Directory objects from rapnet.com. All fields typed and schema-versioned.
"seller_id": "SEL-492", "company_name": "Antwerp Diamond Traders", "rating": 4.9, "location": "Antwerp, Belgium", "member_since": "2014", "inventory_size": 4521, "verified_member": true, "phone_number": "+32-3-234-5678"
| # | seller_id | company_name | rating | location | contact_name | member_since |
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Complete list of extractable fields for Pricing & Offers objects from rapnet.com. All fields typed and schema-versioned.
"listing_id": "RN-9823741", "list_price": 14500.0, "cash_price": 14200.0, "rap_discount": -22.5, "rap_price": 18700.0, "currency": "USD", "availability": "Available", "memo_available": false
| # | listing_id | list_price | cash_price | rap_discount | rap_price | currency |
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Our RapNet scraper handles the complexities of B2B trading platforms: authenticated sessions, complex grid data, dynamic pricing calculations, and certification document parsing.
Extract carat, colour, clarity, cut, polish, symmetry, and fluorescence metrics for every listed diamond.
Capture GIA, IGI, and HRD certificate numbers and associated laboratory grading details directly from listings.
Track list prices, cash prices, Rapaport discount percentages, and price per carat metrics across the entire catalogue.
Separate and categorise natural diamonds from lab grown inventory, including CVD and HPHT growth type identifiers.
Compile seller directory data including company names, location, ratings, and verified member status.
Extract finished jewelry listings including metal types, total carat weights, and side stone configurations.
Monitor inventory locations across major diamond hubs: Mumbai, Antwerp, Ramat Gan, New York, and Dubai.
Maintain authenticated client sessions securely to access gated B2B marketplace data continuously.
Identify new listings, sold items, and price changes without re-downloading the entire multi-million item database.
Brief in. Clean data out.
Provide search parameters, shape preferences, or seller IDs. We design the extraction schema together.
We configure Scrapy crawlers, authenticated session handling, proxy rotation, and data normalisation logic.
Schema validation, null-rate checks, price-outlier detection, and sample exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B trading platforms require complex session handling and precise data parsing. Here is how we maintain reliable extraction.
RapNet requires active member accounts to view pricing and detailed inventory. We build secure credential vaults and token refresh mechanisms to maintain active sessions without triggering account lockouts.
Diamond listings are often presented in highly dynamic, lazy-loaded grid interfaces. We use Playwright to scroll, trigger API responses, and intercept underlying JSON payloads directly from network requests.
Different sellers format specifications inconsistently. Our pipeline normalises colour grades, clarity scales, and shape terminology into a clean, unified schema ready for database insertion.
For large diamond catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on session expiration, null-rate spikes, and schema drift, responding before you notice.
Wholesalers and retailers monitor Rapaport discount percentages and cash prices to adjust their own inventory pricing dynamically.
Retail platforms aggregate virtual inventory from RapNet to display on their own consumer-facing storefronts without holding physical stock.
Analysts track the supply volume of specific categories, such as lab grown CVD diamonds versus natural stones, to forecast market trends.
Procurement teams automate the identification of underpriced stones or specific matching pairs across global sellers.
Major diamond manufacturers track competitor listing volumes and discount strategies across different global hubs.
Insurance companies and appraisers feed real-time market pricing data into automated valuation models for jewelry policies.
"RapNet holds the definitive pulse of global diamond pricing, but extracting that intelligence requires navigating complex B2B authentication walls and dynamic data grids."
Most teams underestimate the investment required to scrape B2B trading networks. Reliable RapNet extraction requires handling strict session timeouts, intercepting complex API payloads, and normalising highly variable seller input data. DataFlirt absorbs that complexity so your engineers can focus on market analysis, not infrastructure maintenance.
Everything supported by our rapnet.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, secure session storage, and network request interception.
Client credentials and session tokens are encrypted and rotated through our secure vault system, ensuring compliance with B2B access requirements.
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 rapnet.com scraping, legality, and pipeline operations.
Ask us directly →Yes. RapNet is a gated B2B platform. You must provide a valid member account with appropriate permissions for the data you wish to extract. We handle the session management and extraction infrastructure.
Our infrastructure securely stores your session tokens and automates the login flow using Playwright when tokens expire. We throttle request concurrency to mimic human behaviour and prevent account flags.
Yes. We can scope the pipeline to target specific seller IDs, locations, or inventory types, rather than scraping the entire global catalogue.
We can configure pipelines to run at hourly, daily, or weekly cadences depending on your requirements and the platform's rate limits. Delta extraction ensures fast updates for modified listings.
Yes. We standardise variations in shape names, clarity grades, and colour scales into a clean, unified schema, removing the inconsistencies often found in seller-submitted data.
Yes. We provide a sample run of up to 500 listings as part of the pre-engagement scoping process, provided you supply the necessary access credentials for the trial.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of natural diamond pricing or a continuous feed of lab grown inventory, we scope, build, and operate the pipeline. Tell us what you need.
