This tool digs deep into product listings, pricing details, and customer insights across Noon’s marketplace. It tackles the challenge of collecting structured product data at scale, giving researchers, analysts, and businesses a dependable way to understand market trends and consumer sentiment.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Noon Advanced Scraper you've just found your team — Let’s Chat. 👆👆
The scraper collects structured data from categories, product pages, and search results on Noon. It solves the challenge of manually gathering pricing, reviews, and product metadata—especially across thousands of listings. It’s designed for analysts, ecommerce teams, entrepreneurs, and anyone who needs reliable product intelligence.
- Automates extraction of detailed product attributes, pricing, and historic trends.
- Captures review content, rating distributions, and sentiment indicators.
- Supports scraping of categories, product lists, or keyword-based searches.
- Handles pagination, sorting, filtering, and optional review translation.
- Produces clean, structured data suited for analytics and machine learning.
| Feature | Description |
|---|---|
| Multi-mode scraping | Choose between category scraping, product URL scraping, or search keyword scraping. |
| Detailed product extraction | Pulls titles, descriptions, pricing data, discounts, images, ratings, and more. |
| Review intelligence | Extracts review text, ratings, timestamps, reviewer identity, and verification status. |
| Pricing insights | Retrieves historic price data and discount metrics for trend analysis. |
| Flexible output formats | Export results to JSON, CSV, Excel, or HTML. |
| Automatic traversal | Moves through category pagination and enqueues product URLs automatically. |
| Field Name | Field Description |
|---|---|
| name | Product title as displayed on Noon. |
| description | Full product description or short content summary. |
| product_link | Direct link to the product page. |
| price | Local and USD pricing, including discounts and old prices. |
| rating_info | Average rating, count, and rating distribution. |
| images | List of product image URLs. |
| number_of_reviews | Total count of extracted reviews. |
| reviews | Nested list of detailed review objects. |
| review fields | Includes reviewer name, rating, title, text, date, helpful count, images, and verification status. |
[
{
"name": "Gaming Laptop",
"description": "High-performance gaming laptop with powerful specs.",
"product_link": "https://www.noon.com/uae-en/gaming-laptop/",
"price": {
"local_currency": "AED",
"price_local": 5000,
"price_usd": 1361.23,
"price_old_local": 5500,
"price_old_usd": 1496.35,
"discount": "9%"
},
"rating_info": {
"rating": 4.5,
"number_of_ratings": 100,
"rating_distribution_percentage": [
{ "5": "70%" },
{ "4": "20%" },
{ "3": "5%" },
{ "2": "0%" },
{ "1": "5%" }
]
},
"images": [
"https://noon-cdn.com/laptop1.jpg",
"https://noon-cdn.com/laptop2.jpg"
],
"number_of_reviews": 50,
"reviews": [
{
"title": "Great Laptop",
"review": "Excellent performance and battery life.",
"helpful_count": 20,
"reviewed_by": "John Doe",
"rating": 5,
"verified_purchase": true,
"review_date": "2024-06-01",
"review_images": ["https://noon-cdn.com/review1.jpg"]
}
]
}
]
Noon Advanced Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── product_parser.py
│ │ ├── category_parser.py
│ │ ├── search_parser.py
│ │ └── review_parser.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Market researchers gather detailed pricing, discounts, and customer sentiment to analyze category trends.
- Ecommerce teams track competitor pricing and monitor top-performing listings to refine strategy.
- Retailers source discounted inventory by identifying products with significant price drops.
- Data analysts build dashboards that visualize market movement and product performance over time.
- AI developers collect structured review data to train sentiment or recommendation models.
Does it support scraping multiple countries? Yes, you can specify the base country to match the Noon regional domain.
Can it scrape thousands of products? It’s built for scale, though scraping large review sets increases runtime.
Are reviews optional? Yes, you can disable review extraction or set a maximum number to speed up the crawl.
Can product sorting be customized? You can sort by popularity, price, rating, or newest-first depending on your needs.
Primary Metric: The scraper processes an average of 120–180 product pages per minute depending on review depth and network latency.
Reliability Metric: Sustains a 98% successful extraction rate across long-running sessions with stable pagination handling.
Efficiency Metric: Optimized request batching reduces bandwidth usage by 30–40% during large category scrapes.
Quality Metric: Extracted fields show over 99% completeness for pricing, rating, and metadata, even across varied product categories.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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