We extract product listings, pricing signals, specifications, and store inventory from titan.co.in. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Watch Specifications objects from titan.co.in. All fields typed and schema-versioned.
"sku": "NR90111QL01", "name": "Titan Neo Splash Blue Dial Leather Strap Watch", "brand": "Titan", "collection": "Neo Splash", "gender": "Men", "dial_colour": "Blue", "strap_material": "Leather", "water_resistance": "5 ATM"
| # | sku | name | brand | collection | gender | dial_colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from titan.co.in. All fields typed and schema-versioned.
"sku": "NR90111QL01", "mrp": 5495.0, "selling_price": 4396.0, "discount_pct": 20, "in_stock": true, "currency": "INR", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | mrp | selling_price | discount_pct | discount_abs | offer_description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Smartwatch Features objects from titan.co.in. All fields typed and schema-versioned.
"sku": "NR90145AP01", "display_type": "AMOLED", "battery_life": "7 Days", "sensors": "Heart Rate, SpO2", "compatibility": "Android, iOS", "health_tracking": true, "notification_support": true
| # | sku | display_type | battery_life | sensors | compatibility | bluetooth_version |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Locator objects from titan.co.in. All fields typed and schema-versioned.
"store_id": "ST1042", "name": "World of Titan", "format": "Exclusive Brand Outlet", "city": "Bengaluru", "pincode": "560001", "latitude": 12.9716, "longitude": 77.5946, "phone": "+918041123456"
| # | store_id | name | format | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Jewellery & Accessories objects from titan.co.in. All fields typed and schema-versioned.
"sku": "NJ70012", "category": "Earrings", "material": "Gold", "purity": "22 Karat", "weight": "4.5g", "price": 32500.0, "currency": "INR"
| # | sku | category | material | purity | weight | gemstone |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Titan scraper handles the entire digital catalogue. We extract exact specifications, regional inventory variations, and dynamic pricing across all sub-brands.
Extract data across all Titan brands including Fastrack, Sonata, Nebula, Xylys, and Skinn.
Capture dial colour, strap material, case thickness, water resistance, and movement type for every SKU.
Track MRP, selling price, and dynamic discounts. Timestamped per crawl for historical analysis.
Monitor out of stock flags and regional availability based on specific pincodes.
Extract latitude, longitude, address, and contact details for all physical retail outlets.
Capture high-resolution product gallery URLs for visual merchandising and catalogue building.
Extract star ratings, review text, and verified buyer tags attached to product pages.
Run one-off bulk exports or configure continuous pipelines with change-detection diffing.
Extract technical specifications specific to wearables, including battery life and sensor types.
Brief in. Clean data out.
Provide category URLs, search terms, or brand filters. We design the extraction schema together.
We configure Scrapy crawlers, handle pagination, and manage regional pincode spoofing.
Schema validation, null-rate checks, and data typing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on agreed cadence.
Extracting retail data requires navigating dynamic filters, lazy-loaded grids, and location-based pricing. Here is how we build resilient pipelines.
Titan uses lazy-loaded product grids. We run full browser sessions to trigger scroll events and hydrate all product nodes before extraction.
Watches often have multiple colour variants. We map child SKUs back to their parent models, ensuring you get a complete view of the product line.
Stock availability varies by region. We inject specific pincodes during the crawl session to accurately reflect local inventory status.
High-frequency scraping triggers rate limits. We use residential ISP proxies with realistic browser fingerprints to maintain pipeline stability.
Retail sites update their frontend frequently. Our selector strategy uses fallback chains so a layout change does not break your data feed.
Retailers track Titan's discount strategies and promotional events to optimise their own pricing models.
Merchandisers analyse catalogue mix across gender, brand, and price tiers to identify market gaps.
Spatial analysts map store locations to evaluate market penetration and plan new retail expansions.
Product teams identify popular dial colours, strap materials, and case shapes based on listing volume.
Retail strategists compare online pricing with physical store availability to map the customer journey.
Analysts study smartwatch feature adoption and pricing tiers to understand the wearables segment.
"Titan's digital catalogue represents the pulse of the Indian watch market. Querying this data requires resilient infrastructure."
Extracting precise specifications, pricing tiers, and store inventory from titan.co.in requires handling dynamic frontend frameworks and regional stock variations. DataFlirt manages the extraction layer so your team can focus on retail analytics.
Everything supported by our titan.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.
Scrapy handles orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows for dynamic product grids.
We maintain pools of residential ISP proxies. Rotation happens per request to prevent rate limiting during high-volume catalogue crawls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About titan.co.in scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from titan.co.in is generally permissible. DataFlirt targets only public, non-authenticated product and pricing data. We do not extract personal data or circumvent authentication walls.
Yes. Our pipeline covers all sub-brands listed on the Titan platform, including Fastrack, Sonata, Nebula, Xylys, and Skinn.
Yes. We capture inventory status flags. We can also inject specific pincodes to track regional stock variations.
We manage session cookies and inject requested pincodes during the browser session to accurately reflect local availability.
Every pipeline run produces timestamped snapshots. You can build a time-series dataset of pricing and discounts from the date your pipeline starts.
We support one-off bulk exports, daily catalogue refreshes, or high-frequency intra-day runs for specific high-value SKUs.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 18,000 SKUs, we scope, build, and operate the pipeline. Tell us what you need.
