We extract product specifications, live precious metal rates, making charges, and store inventory from senco.co.in. 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 senco.co.in. All fields typed and schema-versioned.
"sku": "SGN-22K-NKL-104", "title": "22k Gold Floral Necklace", "category": "Necklace", "metal_colour": "Yellow Gold", "purity": "22K", "gross_weight": "14.5g", "price": 105400.0, "making_charge": 12500.0
| # | sku | title | category | metal_colour | purity | gross_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Gold & Diamond Specs objects from senco.co.in. All fields typed and schema-versioned.
"sku": "SDN-18K-RNG-402", "diamond_weight": "0.45ct", "diamond_clarity": "VVS", "diamond_colour": "GH", "total_stones": 12, "metal_type": "18K Gold", "hallmark_certified": true
| # | sku | diamond_weight | diamond_clarity | diamond_colour | total_stones | stone_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Breakdown objects from senco.co.in. All fields typed and schema-versioned.
"sku": "SGN-22K-NKL-104", "base_metal_value": 89000.0, "making_charge_value": 12500.0, "gst_amount": 3045.0, "final_price": 104545.0, "gold_rate_applied": 6138.0, "price_timestamp": "2026-05-12T10:14:00Z"
| # | sku | base_metal_value | making_charge_value | gst_amount | total_price | discount_amount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Inventory objects from senco.co.in. All fields typed and schema-versioned.
"store_id": "ST-KOL-04", "store_name": "Senco Gold & Diamonds Bowbazar", "city": "Kolkata", "state": "West Bengal", "pincode": "700012", "store_type": "D'Signia", "latitude": 22.5768, "longitude": 88.3639
| # | store_id | store_name | address | city | state | pincode |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Collections & Offers objects from senco.co.in. All fields typed and schema-versioned.
"collection_name": "Everlite", "campaign_title": "Akshaya Tritiya Special", "offer_type": "Making Charge Discount", "discount_percentage": 25, "start_date": "2026-04-15", "end_date": "2026-05-15"
| # | collection_name | campaign_title | start_date | end_date | eligible_skus | offer_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Senco scraper captures dynamic pricing structures, metal weight specifications, diamond grading, and live gold rate dependencies — bypassing frontend rendering walls to deliver structured data.
Extract SKU, title, category, metal purity, and gross weight across rings, necklaces, bangles, and Everlite collections.
Capture the exact split between base metal value, making charges, and GST components for every product.
Extract clarity, colour, carat weight, cut, and certification details (IGI, SGL) for all diamond and gemstone pieces.
Monitor the real-time 22K and 24K gold rates applied to the site's pricing engine, timestamped at extraction.
Extract location data, contact details, and store classification (Standard vs D'Signia) across the entire retail footprint.
Monitor campaign-specific discounts on making charges or diamond values during festive periods like Dhanteras.
Extract URLs for primary product images, alternate angles, and model shots for visual merchandising analysis.
Track out-of-stock indicators and lead times for made-to-order jewellery pieces.
Identify daily price shifts caused by fluctuating gold rates without redownloading static product attributes.
Brief in. Clean data out.
Specify categories, collections, or specific SKUs. We map the exact data points required for your analysis.
We configure Scrapy and Playwright to handle Senco's dynamic pricing engine and category pagination.
We verify price calculation logic (Metal + Making Charge + GST) matches the frontend display precisely.
Structured records pushed to your S3 bucket, BigQuery dataset, or delivered via Webhook on schedule.
Jewellery eCommerce relies on real-time metal rates and complex making charge calculations. We extract the underlying pricing logic, not just the final number.
Senco updates product prices based on daily gold rates. Our pipeline extracts both the final price and the live gold rate applied at the time of scraping, ensuring accurate historical price normalisation.
A 100,000 INR necklace consists of metal weight, making charges (percentage or flat), and 3% GST. We parse the frontend state to extract these individual components, providing visibility into making charge variations.
Rings and bangles have multiple sizes, while some designs offer 18K and 22K variants. We iterate through all valid variant combinations to extract the specific weight and price for each SKU.
We utilise Indian residential proxies to prevent rate limiting and ensure the site serves the correct regional pricing and stock availability without triggering Cloudflare challenges.
Weights are often displayed inconsistently (e.g., '14.5g' vs '14.50 grams'). Our pipeline normalises all weight metrics into standard float values for immediate database ingestion.
Rival jewellery brands monitor Senco's making charges and promotional discounts against their own pricing models.
Retail analysts track the expansion of lightweight collections (Everlite) versus traditional heavy bridal jewellery.
Financial analysts correlate Senco's applied retail gold rate with international spot prices to analyse retail margin compression.
Machine learning teams scrape high-resolution product images and metadata to train jewellery recognition and virtual try-on models.
Real estate and retail strategists map Senco's store locator data to identify expansion trends in Tier 2 and Tier 3 cities.
Marketing agencies track the duration, depth, and SKU eligibility of festive discount campaigns.
"Jewellery data is complex. A single price tag hides dynamic metal rates, variable making charges, and specific diamond grading. We extract the math, not just the number."
Scraping senco.co.in requires handling dynamic JavaScript rendering and complex state management. Prices change daily with the gold market. DataFlirt manages the proxy rotation, API interception, and schema normalisation so your analysts receive clean, structured pricing breakdowns ready for immediate query.
Everything supported by our senco.co.in scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We utilise headless Playwright sessions to execute the JavaScript required to calculate and display the final price breakdown on product pages.
Traffic is routed through Indian residential proxies to observe accurate domestic pricing and avoid geo-blocking or rate limiting.
Raw text strings (e.g., 'Rs. 1,05,400') are parsed, cleaned, and cast into strict float and integer types before delivery.
Data delivered to where your team already works — no new tooling required.
About senco.co.in scraping, legality, and pipeline operations.
Ask us directly →Our pipelines run on scheduled cadences (daily or hourly). Each extraction records the final price, the broken-down components (metal, making charge, GST), and the live gold rate at that exact timestamp, allowing you to track margin changes independently of metal market fluctuations.
Yes. We can scope the pipeline to target specific sub-categories, collections, or filter by metal type and purity (e.g., only 18K diamond rings).
Yes. We bypass thumbnail compression and extract the direct CDN URLs for the highest resolution images available for each SKU, including alternate angles.
Scraping publicly available product catalogues, prices, and store locations is generally permissible. DataFlirt extracts only public data and does not bypass authentication walls to access private user data. Clients should consult their legal counsel regarding their specific use case.
Jewellery pricing changes based on ring size or bangle diameter due to varying metal weights. Our Playwright scripts iterate through all available size options on the product page to extract the specific weight and price for each variant.
Pipelines can be configured for daily full-catalogue refreshes or intra-day updates for specific high-priority categories to capture price adjustments.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of the Everlite collection or continuous monitoring of making charges across the entire catalogue — we build and operate the infrastructure.
