Namshi Market Scraping
Extract comprehensive fashion product, pricing, sizing, and review data from Namshi — the Middle East's leading fashion and lifestyle ecommerce platform across UAE, Saudi Arabia, and Kuwait.
Data Types We Extract
- Product titles and descriptions
- Brand names and seasons
- Category and subcategory hierarchies
- Size guide data
- Color variants and stock levels
- Regular and sale prices
- Discount percentage display
- End of Season Sale pricing
- Flash sale countdown prices
- App-exclusive deal flags
- Star ratings (1–5)
- Review text and comments
- Fit accuracy ratings (true to size, etc.)
- Helpful vote counts
- Review dates and country of reviewer
- Brand name and origin
- Exclusive vs multi-brand listings
- Brand-level promotional campaigns
- Collection and season tags
- New arrivals tracking
- Brand search rankings
- Product keyword positions
- Category page rankings
- Sponsored placements
- Featured brand slots
- Size-level stock availability
- Delivery time estimates by country
- Free delivery thresholds
- Free returns policy
- Express delivery options
Platform Ecosystem
Use Cases
- Cross-brand price comparison
- Sale depth tracking
- New arrival price monitoring
- Discount timing analysis
- SKU presence analysis
- Search share of voice
- Category ranking trends
- Competitor brand mapping
- Size availability monitoring
- Colorway tracking
- Out-of-stock frequency
- New season arrival tracking
- Fit rating aggregation
- Size recommendation signals
- Review sentiment analysis
- Cross-brand fit comparison
- Brand keyword rankings
- Category rank tracking
- Sponsored placement monitoring
- New brand launch tracking
- Country-level delivery mapping
- Free delivery threshold tracking
- Express delivery eligibility
- Return rate signals
Sample Data Fields
| Field | Example | Type |
|---|---|---|
| product_id | NSH-12345678 | string |
| brand | Nike | string |
| title | Nike Air Force 1 '07 White/White | string |
| category_path | Men > Shoes > Sneakers | string |
| price_current | 429.00 | float |
| price_original | 579.00 | float |
| currency | AED | string |
| discount_pct | 26 | integer |
| sizes_available | ["40", "41", "42", "43", "44"] | array |
| rating_avg | 4.5 | float |
| rating_count | 342 | integer |
| fit_rating | True to size | string |
| free_delivery | true | boolean |
| free_returns | true | boolean |
| delivery_days | 2 | integer |
| scraped_at | 2025-07-11T09:00:00Z | timestamp |
About Namshi
Namshi (formerly known as Namshi by Noon) is the Middle East's leading fashion and lifestyle ecommerce destination, founded in 2011 in Dubai. Now part of the Noon Group, Namshi offers over 500,000 products from more than 1,200 international and regional brands across fashion, footwear, accessories, and beauty — catering primarily to UAE, Saudi Arabia, and Kuwait.
The platform's focus on fashion means size-level data, fit accuracy ratings, and seasonal collection tracking are critical data dimensions not found on general ecommerce platforms. DataWeBot's GCC-specialist infrastructure is purpose-built for fashion data extraction, delivering the precise product, pricing, and availability intelligence that brands need to compete effectively in the Middle East's rapidly growing fashion ecommerce market.
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Frequently Asked Questions
Everything you need to know about our ecommerce data extraction services.
We cover Namshi's core markets: UAE, Saudi Arabia, and Kuwait, with data captured at country-level including local currency pricing (AED, SAR, KWD) and country-specific promotions.
Fashion data requires size-level granularity. We extract per-size stock status for each product, allowing you to track which sizes are in stock, which are sold out, and how quickly specific sizes deplete during sale events.
Yes. We increase polling to 15–30 minute intervals during Namshi's major sale events — End of Season Sale, White Friday, and Ramadan promotions — capturing all price changes and stock movements.
Yes. Namshi collects structured fit feedback (True to size, Runs small, Runs large) alongside star ratings. We extract this fit intelligence as a structured field for each product.
Yes. As Namshi is part of the Noon Group, we can configure a unified group-wide data feed including Noon.com's broader product catalog alongside Namshi's fashion-focused data.
Standard schedules update every 4–6 hours. For size-level availability monitoring (which changes rapidly during sales), we can configure 1–2 hour refresh intervals.
Yes. We track brand spotlight pages, promotional banners, and dedicated brand sale events on Namshi — giving you visibility into how Namshi promotes specific brands at the campaign level.
Data is delivered via REST API, webhook push, or file downloads (JSON, CSV, Parquet). Country-filtered or brand-filtered data feeds are available.
We scrape only publicly available product and pricing data, operating in compliance with UAE data protection regulations and applicable GCC privacy laws. We do not extract personal user data.
Yes. We can configure alerts for price drops below your Minimum Advertised Price (MAP) on Namshi, helping you identify and address brand pricing violations in the GCC market.