Noon.com Reviews Scraper 🛍️

Extract detailed product reviews and ratings from Noon.com, one of the largest e-commerce platforms in the Middle East.

Features ✨

• Scrape customer reviews with detailed information
• Extract both English and Arabic translations of reviews
• Collect review images and product variant details
• Get helpful vote counts and review dates
• Support for multiple product URLs
• Stealth browsing capabilities
• Configurable proxy support

Output Data Structure 📊

The scraper extracts the following fields for each review:

• productUrl - Full URL of the product
• sku - Product SKU identifier
• displayName - Reviewer's name
• title - Review title
• rating - Product rating (1-5 stars)
• comment - Detailed review comment
• titleTranslation - Arabic translation of review title
• commentTranslation - Arabic translation of review comment
• language - Original review language
• updatedAt - Review date
• uid - Unique review identifier
• helpfulCount - Number of helpful votes
• imageUrls - Array of review image URLs
• productGroupVariant - Product variant details
• scrapedAt - Timestamp of when the review was scraped

Usage 💡

1. Input the product URLs you want to scrape
2. Set the maximum number of reviews to collect (optional)
3. Configure proxy settings if needed
4. Run the actor and get structured JSON results

Use Cases 🎯

• Market research and competitor analysis
• Customer sentiment analysis
• Product quality monitoring
• Review aggregation
• E-commerce analytics

Limitations ⚠️

• Respects Noon.com's terms of service and rate limits
• Some products might have limited review availability
• Review images might not be available for all reviews

Tips 💪

• Use proxy configuration for better reliability
• Start with a small maxItems value for testing
• Monitor your usage to stay within platform limits

Input Example

A full explanation of an input example in JSON.

1{
2    "productUrls": [
3        "https://www.noon.com/uae-en/mexico-66-sneakers-beige-navy/ZE91EDBD5B3F284131901Z/p/?o=ze91edbd5b3f284131901z-27"
4    ],
5    "maxItems": 20
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "productUrl": "https://www.noon.com/uae-en/mexico-66-sneakers-beige-navy/ZE91EDBD5B3F284131901Z/p/?o=ze91edbd5b3f284131901z-27",
4        "sku": "ZE91EDBD5B3F284131901Z",
5        "displayName": "Jeno O.",
6        "title": "I love the color and the quality! ",
7        "rating": 5,
8        "comment": "Very comfy and light this good for long walk too. It goes well  with casual outfit. Easy to pair with most of the outfits.

I appreciate the effort of noon for putting a shoe bag as a freebie!.",
9        "titleTranslation": "أنا أحب اللون والجودة!",
10        "commentTranslation": "مريح جدًا وخفيف الوزن، وهذا جيد للمشي لمسافات طويلة أيضًا. سارت الامور بشكل جيد مع الزي غير الرسمي. من السهل إقرانها مع معظم الملابس.

أنا أقدر جهد الظهر لوضع حقيبة الأحذية كهدية مجانية!.",
11        "showTranslateBtn": false,
12        "language": "en",
13        "updatedAt": "2024-05-14",
14        "uid": "45c26163-3a4d-4e58-9f38-88f61e0e64bc",
15        "helpfulCount": 42,
16        "imageUrls": [
17            "4debd611-7f17-4cd3-a2ed-9de6f4cefd98-1715705782-1.png",
18            "4debd611-7f17-4cd3-a2ed-9de6f4cefd98-1715705782-2.png"
19        ],
20        "productGroupVariant": [
21            {
22                "code": "colour_name",
23                "title": "Colour Name",
24                "value": "Beige/Navy"
25            }
26        ],
27        "scrapedAt": "2025-02-13T05:37:53.934Z"
28    },
29    ...
30]

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