Pricing

Rating

Developer

Actor stats

Categories

Share

What does Daraz Product Review Scraper do?

Extract customer reviews from any Daraz product page across 5 countries — Bangladesh, Pakistan, Sri Lanka, Myanmar, and Nepal.

Perfect for market research, competitor analysis, sentiment analysis, or backing up your store's reviews in a clean, structured format.

📋 Features

• Multi-Country Support: Scrape reviews from Daraz Bangladesh, Pakistan, Sri Lanka, Myanmar, and Nepal
• Bulk URL Processing: Process multiple product URLs in a single run with concurrent execution
• Star Rating Filters: Filter reviews by 1–5 stars or retrieve all ratings
• Flexible Sorting: Sort by relevance, recent first, or by rating (high to low / low to high)
• Rich Data Extraction: Captures product details, reviewer information, multimedia (images/videos), ratings, and seller replies

💡 Use Cases

• E-commerce Analytics: Monitor customer satisfaction and identify common product issues
• Competitor Research: Analyze customer sentiment about competitor products
• Sentiment Analysis: Export review text for NLP and AI model training
• Data Archiving: Back up product reviews for auditing and internal reporting

🌍 Supported Countries

⚠️ Note: URLs must match the selected country domain. Mismatched URLs are automatically skipped.

🚀 Getting Started

Quick Start (Web UI)

1. Navigate to the Daraz Product Review Scraper on Apify Store
2. Enter one or more product URLs
3. Select your country and preferences (sort order, star filter)
4. Click Start and wait for completion
5. Export results in JSON, CSV, or Excel format

Minimal Example

{
"urls":["https://www.daraz.com.bd/products/-i565459470-s2606997066.html"],
"country":"BD"
}

💻 Usage

Multiple ways to integrate and run the Actor:

Apify Web Console

1. Open the Actor → Navigate to Daraz Product Review Scraper
2. Configure Input → Paste product URLs, select country and filters
3. Start Run → Click the start button
4. Review Results → Download from the Export tab (JSON/CSV/Excel)

HTTP API

Trigger the scraper programmatically:

curl-H"Content-Type: application/json"\
--data'{
 "urls": ["https://www.daraz.com.bd/products/-i565459470-s2606997066.html"],
 "country": "BD",
 "sorting_order": 0,
 "star_filter": 0
 }'\
"https://api.apify.com/v2/acts/itclan-bd~daraz-product-review-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN"

Node.js SDK

Integrate into your Node.js application:

import{ ApifyClient }from"apify-client";
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const input ={
urls:[
"https://www.daraz.com.bd/products/-i565459470-s2606997066.html",
"https://www.daraz.com.bd/products/p47-i420321724-s2058261814.html",
],
country:"BD",
sorting_order:0,
star_filter:0,
};
const run =await client.actor('itclan-bd~daraz-product-review-scraper').call(input);
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

⚙️ Input Parameters

Configure the Actor with the following parameters:

Required

Optional

Sorting Order

Star Filter

Example Input

{
"urls":[
"https://www.daraz.com.bd/products/-i565459470-s2606997066.html",
"https://www.daraz.com.bd/products/p47-i420321724-s2058261814.html"
],
"country":"BD",
"sorting_order":0,
"star_filter":0
}

📤 Output Schema

Understand the structure of scraped review data:

Output Fields

Each review record contains:

Sample Output

{
"productID":565459470,
"productCategoryId":"10003652",
"productTitle":"Example Shoes Men Casual",
"productUrl":"https://www.daraz.com.bd/products/-i565459470.html",
"productPic":"https://lzd-u.slatic.net/g/p/example.jpg",
"sellerId":"300123",
"country":"Bangladesh",
"reviewID":"52875043613812",
"reviewerID":"98765432",
"reviewerName":"A***.",
"reviewContent":"Very budget friendly shoes 👟❤️🥰",
"rating":5,
"boughtDate":"12 Mar 2025",
"reviewTime":"27 Mar 2025",
"images":["https://lzd-u.slatic.net/image1.jpg"],
"videos":[],
"likes":12,
"upVotes":10,
"downVotes":0,
"replies":[
{"time":"28 Mar 2025","content":"Thank you for your review!"}
],
"skuInfo":"Color: Black, Size: 42",
"relevanceScore":95
}

💡 Tips & Best Practices

Maximize efficiency and accuracy:

• Concurrent Processing: Bulk URLs are processed in parallel for speed
• Targeted Filtering: Use star_filter to focus on specific star ratings
• Recent Reviews: Set sorting_order: 1 to fetch newest reviews first
• URL Validation: Ensure URLs match the selected country domain

🛠️ Troubleshooting

Common issues and solutions:

Issue: URL Domain Mismatch

Problem: Scraper skips URLs that don't match the selected country
Solution: Verify your URLs match the country code (e.g., daraz.pk for Pakistan)

Issue: No Reviews Found

Problem: Product has ratings but no written reviews
Solution: Some Daraz products may have minimal review text; try different products or use filters

Issue: Invalid URL / No ID Found

Problem: Scraper cannot extract product ID
Solution: Ensure URLs contain IDs like -i131532848.html; shortened URLs won't work

Issue: Missing Data Fields

Problem: Some fields are null or empty
Solution: Fields like videos, skuInfo, and replies are optional; they appear only if the reviewer provided them