Marketplace analysts
Price checks
Favorable to scraping
Export Noon product prices, product IDs, and ratings into a repeatable spreadsheet so you can compare UAE or MENA marketplace positioning without manually opening every product page.
E-commerce Marketplace$50Free
Noon Product Scraper Listing
The Noon product scraper turns a list of Noon product detail URLs into a clean CSV for marketplace research, price checks, and assortment reviews. It navigates each supplied URL, waits for the page to settle, then exports product name, brand, sale price, original price, product ID, ratings, image URLs, page URL, and model number without asking you to write scraper code.
Output
CSV
Columns
12
Input
URL loop
Blocks
7
Template
Free
Use cases
Who uses a Noon data extractor
E-commerce operators
Catalog audits
Favorable to scraping
Track product names, brands, model numbers, and image slots when checking whether marketplace listings are complete, consistent, and ready for a deeper catalog review.
Agencies and researchers
Client reporting
Favorable to scraping
Turn a curated list of competitor product URLs into a Noon to CSV export that can be filtered, enriched, and handed off in Excel, Sheets, or a BI workflow.
Automation flow
How the Noon product export runs
The graph begins by setting a large browser window, then the Navigate block loops through the supplied Noon product URLs. Each URL is treated as one product detail page, so the template is better for curated monitoring lists than broad keyword discovery.
How to use
Scrape Noon product pages to CSV
1
Download and import
Use the download button on this page to import the hosted JSON template into UScraper.
2
Add your Noon URLs
Open the Navigate block and replace the sample product URLs with the Noon detail pages you want to collect.
3
Check regional context
Set the Noon country, language, and delivery context in the browser profile if prices or availability must match a specific market.
4
Choose the save folder
Confirm the Structured Export path and keep noon-scraper-listing.csv, or rename the file for your project.
5
Run and review
Start the workflow, watch the first row export, then open the CSV after the URL loop finishes.
Output preview
What the CSV contains
| Column | Example value | Why it matters |
|---|---|---|
| product_name | PlayStation 5 Slim Console Disc Version With Controller | Human-readable title for product matching and reporting. |
| brand | Sony | Brand-level grouping for catalog and competitor analysis. |
| sale_price | AED 1643.00 Inclusive of VAT | Current visible price captured from the product page. |
| original_price | AED 2099.00 | Struck-through or reference price when available. |
| product_id | N70022609V | Stable Noon product identifier parsed from the URL. |
| ratings | 4.6 | Visible rating text when Noon exposes it. |
| image1-image5 | https://f.nooncdn.com/p/...jpg | Gallery image slots for product QA and enrichment. |
| page_url | https://www.noon.com/.../p/ | Source URL for audit trails and refresh runs. |
| model_number | CFI-2016 A01Y/CFI-2000 A01 | Model text useful for matching electronics and variants. |
noon-scraper-listing.csvColumn
product_name
Title from the product page, with URL/product-ID fallback logic.
Column
brand
Brand text when present on the page or mapped from known sample IDs.
Column
sale_price
Current sale price as displayed, including currency context.
Column
original_price
Reference or crossed-out price when Noon exposes one.
Column
product_id
Noon item ID parsed from the product URL.
Column
ratings
Rating text when available.
Column
image1-image5
Up to five product image URLs, preserving blank slots where images are missing.
Column
page_url
Original product detail URL.
Column
model_number
Model number or variant identifier when visible.
Sample rows
2 of many
| product_name | brand | sale_price | original_price | product_id | ratings | image1-image5 | page_url | model_number |
|---|---|---|---|---|---|---|---|---|
| Macbook Air MGN63 13" Display, Apple M1 Chip | Apple | AED 2699.00 Inclusive of VAT | AED 4199.00 | N42284105A | 4.7 | 5 image URLs | MGN63 | |
| Airpods 2nd Gen With Charging Case White | Apple | AED 449.00 Inclusive of VAT | AED 549.00 | N22732308A | 4.5 | 5 image URLs | MV7N2 |
Headers are included; each product URL appends one row underneath.
Frequently asked questions
Noon product pages may be publicly visible, but automated collection can still be governed by Noon terms, robots directives, copyright, marketplace rules, and privacy law. Use modest volumes, avoid restricted or personal data, do not bypass access controls, and get legal review before using scraped Noon product data commercially.
Limits
Practical limits before you scale
Checks to make before unattended runs
Rate limits
Avoid aggressive batching
Keep batch sizes reasonable and add longer waits if Noon slows responses, delays product data, or shows verification screens.
Layout drift
Watch for blank columns
Marketplace layouts change. If prices, images, or ratings stop exporting, inspect the affected page and update the Structured Export rules before trusting the dataset.
Compliance
Review Noon rules first
Check Noon robots.txt and relevant marketplace terms before collecting, storing, or republishing product data at scale.
Local scraper vs hosted Noon actors
UScraper template
LocalHosted Noon scraper
CloudRuntime
Runs in your desktop browser profile
Useful when storefront context and manual review matter.
Runs on a vendor stack
Convenient, but less transparent.
Output
CSV file on your machine
Easy to audit, archive, and open in spreadsheets.
Dashboard or API response
Often tied to credits, accounts, or actor settings.
Control
Editable automation graph
Adjust URLs, waits, and export columns yourself.
Managed extraction rules
Less maintenance, but fewer local adjustments.
Browse the full UScraper template library, install the local desktop app, and import this free Noon scraper listing template whenever you need a repeatable product details CSV.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
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