We extract jewellery listings, dynamic gold pricing, diamond clarity variants, and try-at-home availability from CaratLane. 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 Product Listings objects from caratlane.com. All fields typed and schema-versioned.
"sku": "JR04532-1RP900", "title": "Classic Solitaire Ring", "category": "Rings", "metal_type": "Rose Gold", "metal_purity": "18kt", "price": 45890.0, "total_weight": 2.45
| # | sku | title | category | sub_category | metal_type | metal_purity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Breakdowns objects from caratlane.com. All fields typed and schema-versioned.
"sku": "JR04532-1RP900", "total_price": 45890.0, "metal_value": 12400.0, "diamond_value": 25000.0, "making_charges": 7200.0, "gst_amount": 1290.0
| # | sku | total_price | metal_value | diamond_value | gemstone_value | making_charges |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Diamond Specs objects from caratlane.com. All fields typed and schema-versioned.
"sku": "JR04532-1RP900", "total_diamonds": 1, "diamond_shape": "Round", "diamond_color": "EF", "diamond_clarity": "VVS", "certificate_type": "SGL"
| # | sku | total_diamonds | total_gemstones | diamond_setting | diamond_shape | diamond_color |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Delivery & Logistics objects from caratlane.com. All fields typed and schema-versioned.
"sku": "JR04532-1RP900", "pincode": "560034", "delivery_days": 3, "try_at_home_eligible": true, "store_pickup_eligible": true, "return_policy_days": 15
| # | sku | pincode | delivery_days | try_at_home_eligible | store_pickup_eligible | fast_delivery_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from caratlane.com. All fields typed and schema-versioned.
"review_id": "REV-84920", "sku": "JR04532-1RP900", "reviewer_name": "Aditi S.", "rating": 5, "review_title": "Beautiful design", "review_date": "2025-08-14"
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our CaratLane scraper handles product variants, dynamic pricing breakdowns, and location-based delivery estimates with full JavaScript rendering and bot circumvention built in.
Extract titles, descriptions, metal details, and high-resolution image URLs for rings, earrings, necklaces, and bracelets.
Capture exact values for gold, diamonds, making charges, and GST components to understand pricing structures.
Extract clarity (VVS-EF, SI-IJ), cut, colour, setting type, and certification details for every piece.
Input target pincodes to extract estimated delivery dates, Try at Home availability, and store pickup options.
Map 14kt vs 18kt gold options, ring sizes, and diamond quality variants to their specific price points.
Track which products are available for immediate pickup at specific CaratLane physical retail locations.
Extract data specifically from CaratLane's sub-brands and designer collections with their unique metadata.
Monitor flat discounts, percentage drops on making charges, and bank-specific credit card offers.
Run daily or weekly extractions to track gold price fluctuations and catalogue updates across the entire site.
Brief in. Clean data out.
Provide target categories, pincodes, or product URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for caratlane.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.
Jewellery sites rely on dynamic pricing and highly structured variant matrices. Here is how we extract accurate data.
CaratLane updates pricing based on daily gold rates. Our pipeline triggers extractions at specific times to capture synchronised pricing across the entire catalogue.
A single ring can have 12 variants (14kt/18kt, yellow/rose/white gold, SI-IJ/VVS-EF). We iterate through all combinations to extract the specific price and SKU for each.
Delivery dates and Try at Home eligibility depend on the user location. We inject specific Indian pincodes into the session to extract accurate logistics data.
We extract the hidden DOM elements that calculate the exact split between metal value, diamond value, making charges, and taxes.
We use Indian residential proxies and realistic browser fingerprints to bypass rate limits and firewall blocks during large-scale catalogue extractions.
Jewellery brands track CaratLane's making charges and discount structures to optimise their own pricing strategies.
Merchandising teams analyse category depth, metal preferences, and diamond quality distributions across the product range.
Analysts correlate daily gold rate fluctuations with CaratLane's dynamic pricing adjustments and discount offerings.
Retail consultants track the expansion of Try at Home and store pickup eligibility across different Indian pincodes.
Design teams monitor new arrivals, sub-brand launches (like Shaya), and best-selling items to identify consumer design preferences.
Investors and analysts track catalogue size and out-of-stock rates to estimate inventory turnover and operational health.
"CaratLane's catalogue offers the most structured view of modern Indian jewellery pricing - from exact making charges to diamond clarity premiums."
Extracting jewellery data requires precision. A missed variant or an incorrect making charge calculation renders the dataset useless for competitive analysis. DataFlirt handles the complex variant matrices and dynamic gold pricing so your team receives highly accurate, structured pricing breakdowns ready for analysis.
Everything supported by our caratlane.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 IN/US/UK/DE 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 caratlane.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing data is generally permissible under Indian law. We target only public catalogue data and do not extract personal user profiles or bypass authentication walls.
CaratLane updates prices based on daily gold rates. We schedule extraction pipelines at specific intervals to ensure all captured prices reflect the same temporal gold rate, maintaining dataset consistency.
Yes. We capture the exact values for metal cost, diamond cost, gemstone cost, making charges, and GST as displayed on the product page.
Yes. A single ring might have options for 14kt/18kt and different diamond clarities. We iterate through the UI to extract the specific price and SKU for every available combination.
Yes. We inject your target pincodes into the session to extract accurate Try at Home eligibility, delivery estimates, and store pickup options.
We can run daily delta extractions to capture new product launches, price adjustments, and stock changes, or perform weekly full-catalogue refreshes.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily price monitoring feed or a one-off catalogue extraction - we scope, build, and operate the pipeline. Tell us what you need.
