We extract B2B diamond listings, pricing signals, GIA certificate details, and supplier inventory from IDEX Online. 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 Listings objects from idexonline.com. All fields typed and schema-versioned.
"diamond_id": "IDX-8472910", "shape": "Round", "carat": 1.52, "colour": "E", "clarity": "VVS2", "cut": "Excellent", "price_per_carat": 8450.0, "discount_pct": -12.5, "lab": "GIA"
| # | diamond_id | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Certificate Data objects from idexonline.com. All fields typed and schema-versioned.
"certificate_number": "GIA-2435891022", "lab": "GIA", "measurements": "7.34 x 7.38 x 4.52 mm", "depth_pct": 61.4, "table_pct": 57.0, "culet": "None", "girdle": "Medium to Slightly Thick", "report_url": "https://www.gia.edu/report-check?reportno=2435891022"
| # | certificate_number | lab | issue_date | shape | measurements | carat_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Index objects from idexonline.com. All fields typed and schema-versioned.
"index_date": "2023-10-01", "category": "Round", "carat_range": "1.00-1.49", "index_value": 134.2, "mom_change_pct": -0.8, "yoy_change_pct": -4.2, "avg_price_per_carat": 6200.0, "scraped_at": "2023-10-02T04:15:00Z"
| # | index_date | category | carat_range | index_value | mom_change_pct | yoy_change_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Supplier Data objects from idexonline.com. All fields typed and schema-versioned.
"supplier_id": "SUP-4921", "company_name": "Antwerp Diamond Traders NV", "country": "Belgium", "city": "Antwerp", "total_stones_listed": 4512, "total_inventory_value": 12500000.0, "rating": 4.8, "contact_status": "Active"
| # | supplier_id | company_name | country | city | member_since | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fancy Colour Diamonds objects from idexonline.com. All fields typed and schema-versioned.
"diamond_id": "IDX-FC-99210", "shape": "Cushion", "carat": 2.05, "colour_intensity": "Fancy Vivid", "primary_colour": "Yellow", "clarity": "VS1", "total_price": 45000.0, "lab": "GIA"
| # | diamond_id | shape | carat | colour_distribution | colour_intensity | colour_overtone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our IDEX scraper manages complex search parameters, extracts unstructured certificate data, and tracks high-velocity inventory changes - with session management and anti-bot circumvention built in.
Extract carat, colour, clarity, cut, polish, symmetry, and fluorescence across millions of listings.
Capture GIA, IGI, and HRD certificate numbers and parse physical proportions directly from grading reports.
Monitor asking prices and exact discount percentages relative to standard industry pricing benchmarks.
Aggregate inventory volumes, average stone values, and geographical distribution per supplier.
Track historical and real-time IDEX Diamond Index movements across different carat and shape categories.
Extract complex colour grading including intensity, overtone, and primary colour for fancy diamonds.
Navigate complex POST-based search forms to iterate through exact carat ranges and quality matrices.
Iterate through deep inventory tables without dropping records or triggering session timeouts.
Run continuous pipelines with hash-based diffing to track newly listed stones and sold inventory.
Brief in. Clean data out.
Provide target carat ranges, shapes, clarity matrices, or specific supplier lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and search-form handling for idexonline.com.
Schema validation, null-rate checks, price-outlier detection, and certificate parsing tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B diamond platforms use complex session states and rate limits. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
B2B platforms monitor IP velocity and session continuity. Our crawlers use residential ISP proxies with sticky sessions to maintain authenticated states while distributing request load across multiple IP addresses.
IDEX inventory searches rely on heavy POST requests with hidden form states. We map the complete parameter matrix to programmatically query exact carat ranges and quality combinations without relying on brittle UI interactions.
Not all diamond proportions are listed in standard HTML tables. We extract certificate numbers and cross-reference lab databases to normalise depth, table, and angle measurements into structured JSON.
For massive diamond catalogues, we maintain a hash index of last-seen values per stone. Subsequent runs only push diffs - reducing compute cost and allowing you to track precise inventory velocity.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing certificate links, and coverage drops - and respond before you notice.
Wholesalers monitor asking prices and discount variations to identify arbitrage opportunities across different suppliers.
Financial analysts track IDEX Index movements and aggregate inventory volumes to forecast diamond market trajectories.
Retailers aggregate virtual inventory from multiple suppliers to present a unified, heavily stocked storefront to consumers.
Insurance and lending firms use historical pricing data and specific cut proportions to build automated valuation models for loose stones.
Jewellery manufacturers track supplier inventory depth and pricing consistency to optimise their procurement networks.
Firms track high-value fancy colour diamond availability and pricing to evaluate hard-asset investment portfolios.
"IDEX holds the definitive B2B diamond inventory and pricing signals, but normalising millions of scattered certificates requires purpose-built infrastructure."
Most teams underestimate the investment required: reliable IDEX scraping requires handling complex search states, parsing unstructured grading reports, and tracking high-velocity inventory changes. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our idexonline.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 idexonline.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated inventory, pricing indices, and certificate data. We do not extract personal data or circumvent authentication walls for private trading floors. Clients should review IDEX Terms of Service and consult legal counsel for specific use cases.
We programmatically map the POST request parameters required for IDEX searches, allowing us to query exact carat ranges and quality matrices without relying on brittle browser automation for every step. We use sticky residential proxy sessions to maintain state during pagination.
Yes. We capture the certificate numbers (GIA, IGI, HRD) and can cross-reference lab databases or parse available report URLs to normalise physical proportions like depth percentage, table percentage, and culet size.
We configure pipelines based on your requirements. High-velocity categories can be tracked at sub-hourly cadences, while full catalogue refreshes typically run daily. Hash-based diffing ensures you only process inventory changes.
We extract current index values and can capture available historical time-series data exposed on the platform. Every pipeline run produces timestamped snapshots to build your own historical database from the start date.
Our smallest packages start at defined parameter sets (e.g., specific carat ranges or shapes) with weekly delivery. For full catalogue extraction or continuous streaming, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 1,000 diamond listings as part of the pre-engagement scoping process - so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a specific carat range dump or a continuous inventory feed across millions of stones - we scope, build, and operate the pipeline. Tell us what you need.
