We extract product listings, fabric details, size availability, and pricing from Nicobar. 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 Metadata objects from nicobar.com. All fields typed and schema-versioned.
"product_id": "NC-APP-4921", "name": "Ivory Chanderi Kurta", "category": "Clothing", "sub_category": "Kurtas", "fabric_composition": "100% Chanderi Silk", "fit_details": "Relaxed fit, true to size"
| # | product_id | name | brand | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Variants objects from nicobar.com. All fields typed and schema-versioned.
"sku": "NC-APP-4921-IVY-M", "size": "M", "colour": "Ivory", "price": 4500.0, "mrp": 4500.0, "in_stock": true, "currency": "INR"
| # | sku | product_id | size | colour | price | mrp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Imagery & Assets objects from nicobar.com. All fields typed and schema-versioned.
"sku": "NC-APP-4921-IVY-M", "primary_image": "https://cdn.nicobar.com/images/NC-APP-4921-IVY-1.jpg", "gallery_images": "['https://cdn.nicobar.com/images/NC-APP-4921-IVY-2.jpg', 'https://cdn.nicobar.com/images/NC-APP-4921-IVY-3.jpg']", "alt_text": "Model wearing Ivory Chanderi Kurta", "resolution": "1080x1440"
| # | sku | primary_image | gallery_images | lifestyle_images | video_url | alt_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Collections objects from nicobar.com. All fields typed and schema-versioned.
"collection_name": "Summer Oasis", "category_tree": "Clothing > Collections > Summer Oasis", "product_count": 42, "launch_season": "SS24", "is_active": true, "designer_notes": "Lightweight fabrics for the tropical heat."
| # | collection_name | collection_url | category_tree | product_count | launch_season | designer_notes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cross-Sell Data objects from nicobar.com. All fields typed and schema-versioned.
"product_id": "NC-APP-4921", "style_it_with_skus": "['NC-ACC-102', 'NC-BOT-884']", "similar_products": "['NC-APP-4922', 'NC-APP-4925']", "scraped_at": "2024-05-12T09:14:00Z"
| # | product_id | style_it_with_skus | similar_products | frequently_bought_together | lookbook_url | lookbook_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Nicobar scraper handles dynamic inventory states, variant-level pricing, and high-resolution media extraction with full JavaScript rendering for modern storefronts.
Extract dresses, kurtas, tableware, and bedding with category-specific attributes.
Track stock availability down to specific sizes and colourways.
Capture composition percentages, weave types, and wash care instructions.
Extract CDN URLs for product flats, lifestyle shots, and detail macro images.
Monitor current price, original MRP, and active promotional discounts.
Group products by seasonal collections and curated edits.
Extract Style It With and Similar Products widgets.
Execute React hydration to capture dynamically loaded inventory states.
Compare runs to identify new arrivals and out-of-stock items.
Brief in. Clean data out.
Provide category URLs or specific collections. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for nicobar.com.
Schema validation, null-rate checks, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Nicobar uses a modern JavaScript frontend. We bypass client-side rendering limitations to deliver structured data directly from the underlying APIs and DOM.
We use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to prevent IP blocks.
Nicobar product pages are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and JSON state extraction, so a layout change does not break your data pipeline.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice.
Track pricing, category overlap, and new product introductions to benchmark against premium retail standards.
Analyze category mix, colour palettes, and fabric choices to inform seasonal buying decisions.
Monitor new arrivals and seasonal collections to identify emerging lifestyle and fashion trends.
Monitor discount velocity, end-of-season sales, and promotional pricing strategies.
Analyze lifestyle imagery and cross-sell styling combinations to optimise your own digital storefront.
Evaluate premium Indian lifestyle brand positioning, sizing strategies, and category expansion.
"Nicobar's catalogue represents the benchmark for premium Indian lifestyle retail. Accessing this data structurally requires navigating modern JavaScript storefronts."
Extracting data from modern headless commerce platforms requires more than simple HTTP requests. DataFlirt handles the JavaScript rendering, proxy rotation, and schema maintenance required to turn Nicobar's storefront into a reliable, queryable database for your merchandising team.
Everything supported by our nicobar.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 and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request with IP score monitoring to prevent blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About nicobar.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We capture in-stock status and available quantities for every size and colour variant on a product listing.
We use Playwright to execute the JavaScript payload, wait for network idle states, and extract the hydrated JSON state directly from the page source.
We extract the high-resolution CDN URLs for all product images. If you require raw image files, we can configure a secondary pipeline to download and sync them to your S3 bucket.
Yes. We extract all metadata fields provided in the product description, including fabric type, fit details, and wash care instructions.
We can configure pipelines to run at daily or hourly cadences depending on your monitoring requirements. Data is timestamped per extraction.
Yes. We provide a sample run of up to 100 products during the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a one-off catalogue export or continuous inventory monitoring? We scope, build, and operate the pipeline. Tell us your requirements.
