We extract fancy colour diamond listings, GIA certificate metadata, high-resolution media, and pricing signals from Leibish. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Fancy Colour Diamonds objects from leibish.com. All fields typed and schema-versioned.
"sku": "D-19482", "shape": "Radiant", "carat": 1.52, "primary_colour": "Yellow", "colour_intensity": "Fancy Intense", "clarity": "VS1", "price": 12500.0, "certificate_lab": "GIA"
| # | sku | shape | carat | colour_intensity | colour_overtone | primary_colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Fine Jewellery objects from leibish.com. All fields typed and schema-versioned.
"sku": "R-8392", "title": "Fancy Yellow Radiant Diamond Halo Ring", "category": "Rings", "metal_type": "Gold", "metal_purity": "18K", "price": 18400.0, "total_carat_weight": 2.15, "availability": "Made to Order"
| # | sku | title | category | metal_type | metal_purity | total_carat_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Argyle Pink Diamonds objects from leibish.com. All fields typed and schema-versioned.
"sku": "AP-9921", "argyle_lot_number": "39201", "carat": 0.45, "colour_grade": "4PR", "clarity": "SI1", "shape": "Oval", "price": 45000.0, "tender_year": 2020
| # | sku | argyle_lot_number | argyle_certificate | carat | colour_grade | clarity |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Gemstones objects from leibish.com. All fields typed and schema-versioned.
"sku": "E-4821", "gem_type": "Emerald", "shape": "Emerald Cut", "carat": 3.2, "colour": "Vivid Green", "clarity": "Minor Oil", "price": 28000.0, "origin": "Colombia"
| # | sku | gem_type | shape | carat | colour | clarity |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Certifications & Media objects from leibish.com. All fields typed and schema-versioned.
"sku": "D-19482", "certificate_lab": "GIA", "certificate_number": "2195839201", "certificate_pdf_url": "https://leibish.com/certs/gia-2195839201.pdf", "video_360_url": "https://leibish.com/media/360/D-19482.mp4", "lab_report_date": "2023-04-12"
| # | sku | certificate_lab | certificate_number | certificate_pdf_url | image_primary_url | image_gallery_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Leibish scraper captures complex grading scales, parses GIA certificates, and extracts high-resolution media — giving you a structured dataset for market valuation and inventory analysis.
Carat, colour intensity, clarity, shape, polish, symmetry, and fluorescence extracted directly from listing metadata.
Extract certificate numbers, lab names, and report dates to cross-reference with official laboratory databases.
Capture high-resolution image arrays and 360-degree video URLs for visual analysis and inventory modelling.
Track multi-currency pricing, discount flags, and historical price movements across the entire diamond catalogue.
Extract metal type, 18K/Platinum purity, total carat weight, and side-stone configurations for bespoke pieces.
Isolate rare Argyle tender diamonds, capturing lot numbers, specific colour grades like 4PR or 6P, and origin data.
Extract data for rubies, emeralds, and sapphires, including treatment status and geographical origin.
Track inventory status, identifying when unique stones are sold, reserved, or returned to the market.
Maintain a hash index of diamond SKUs. Subsequent runs only emit records when price, status, or certification changes.
Circumvent rate limits and IP blocks using rotating residential proxies and TLS fingerprint spoofing.
Brief in. Clean data out.
Specify diamond categories, jewellery types, or specific colour intensities. We design the extraction schema together.
We configure Scrapy crawlers, Playwright instances for dynamic media loading, and proxy rotation for leibish.com.
Schema validation, null-rate checks on critical fields like carat and price, and sample runs before full deployment.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting high-value diamond data requires precision. Missing a colour intensity grade or certificate number corrupts market analysis. Here is how we ensure data integrity.
Leibish uses JavaScript to load 360-degree videos and high-res image galleries. We run Playwright to hydrate the DOM and extract direct media URIs.
Diamond specifications vary between loose stones and set jewellery. Our schema normalises attributes like 'Colour Intensity' and 'Overtone' into consistent, queryable fields.
Prices shift based on geolocation and selected currency. We force specific session headers to extract a normalised USD baseline while capturing local currency variants.
GIA and Argyle certificate details are often embedded in PDFs or external iframes. We parse the surrounding DOM to extract certificate numbers reliably.
Unique diamonds sell out and disappear from category pages. We track 404s and 'Out of Stock' flags to maintain accurate historical inventory states.
Quantitative funds and jewellers track fancy colour diamond prices against carat and clarity to build valuation algorithms.
Monitor the availability and pricing of rare Argyle pink diamonds as supply diminishes post-mine closure.
High-end jewellers monitor Leibish's stock depth, new arrivals, and pricing strategies for fancy colour stones.
Appraisers use historical pricing and GIA certificate metadata to justify valuations for insurance and auction reserves.
Luxury asset platforms aggregate Leibish inventory to display available fancy colour diamonds to private buyers.
Analyse which colour intensities and shapes sell fastest to optimise procurement and cutting strategies.
"Fancy colour diamonds are a highly opaque asset class. Leibish provides the data, but only a structured pipeline makes it queryable for financial modelling."
Extracting data from fine jewellery sites requires more than basic HTTP requests. You must parse complex grading scales, handle dynamic media assets, and maintain strict schema adherence for high-value items. DataFlirt manages the infrastructure so your analysts can focus on market trends, not broken selectors.
Everything supported by our leibish.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 for media assets and dynamic pricing widgets.
We route requests through ISP-grade residential proxies to bypass CDN rate limits and geographic blocking.
Pipelines execute on AWS ECS with Airflow managing scheduling, dependency resolution, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About leibish.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available diamond specifications and pricing from leibish.com is generally permissible under applicable law. DataFlirt targets only public, non-authenticated inventory data. We do not extract personal customer data or bypass authentication walls.
Yes. We use Playwright to execute the JavaScript required to load the media players, extracting the direct MP4 or interactive video URLs for each diamond.
We extract the certificate number, issuing laboratory (GIA, Argyle, IGI), and report dates directly from the product metadata, allowing you to cross-reference with official lab databases.
We configure pipelines to run at your required cadence. Daily runs are standard for diamond inventories, capturing new arrivals and sold items within a 24-hour window.
Yes. We maintain a hash index of all active SKUs. If a diamond's price drops or changes currency value, our change-detection system emits a new record with a timestamp.
Yes. We extract full specifications for rings, earrings, and pendants, including metal purity (e.g., 18K Gold, Platinum), total carat weight, and side-stone configurations.
When an item returns a 404 or is flagged as 'Out of Stock', our pipeline updates the status field in the historical database, providing accurate market velocity metrics.
20-minute scoping call. Pilot dataset within the week. Production within two. From one-off inventory exports to continuous price monitoring across thousands of fancy colour diamonds — we build and operate the infrastructure. Contact us to define your schema.
