How to Use Lazada Reviews Scraper
Go from Lazada product page to detailed spreadsheet in minutes:
Go to Lazada Product
Navigate to any product page on your local Lazada site.
Open the Extension
Click the extension icon in your browser to open the interface.
Export Reviews
Click 'Export Reviews' to begin scraping the data based on your criteria.
Lazada Reviews Scraper Features
Unlock powerful tools to understand your customers and grow your Lazada business.
Advanced Sorting & Filtering
Sort reviews by 'Relevant', 'Recent', or 'Rating' (High to Low, Low to High). Filter by star ratings (1-5 stars) to pinpoint specific feedback.
Multi-Regional Dominance
Seamlessly scrape from any Lazada site, including Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam.
31+ Data Fields
Get every detail, including reviewer info, rating breakdowns, and media. Essential for deep-dive analysis.
Flexible Export Formats
Export your data to CSV, Excel, or JSON. Perfect for any workflow, from quick analysis to professional reports.
Secure & Private
All data processing happens on your computer. Your information never touches our servers, ensuring complete privacy.
Simple One-Click Export
A straightforward interface makes it easy to start scraping. No technical expertise required.
Lazada Reviews Scraper Export Data Fields
Complete reference of all 31 data fields extracted from Lazada reviews with detailed explanations.
id
Unique identifier for each review record, useful for data deduplication and referencing.
buyer_id
Unique identifier for the reviewer on Lazada platform.
buyer_name
Username of the reviewer as displayed on Lazada (privacy-protected when applicable).
buyer_avatar_url
URL of the reviewer's profile avatar image (when available and public).
buyer_email
Email address of the reviewer (when publicly available and disclosed).
is_anonymous
Boolean flag indicating whether the review was posted anonymously.
rating
Overall star rating given by the reviewer (1-5 stars scale).
product_rating
Specific rating for the product quality (1-5 stars scale).
logistics_rating
Rating for shipping and delivery experience (1-5 stars scale).
seller_rating
Rating for seller service and communication (1-5 stars scale).
review_content
Complete text content of the review in the original language posted by the user.
review_images
Array of image URLs attached to the review by the buyer (product photos, etc.).
review_video_cover_url
URL of the video thumbnail/cover image for video reviews.
review_video_id
Unique identifier for video content attached to the review.
review_date
Date when the review was posted, formatted in standard date format (YYYY-MM-DD).
bought_date
Date when the reviewer purchased the product, formatted in standard date format.
replies
Array of replies to the review from seller or other users.
is_purchased
Boolean flag indicating if the reviewer actually purchased the product (verified purchase).
helpful
Number of helpful votes the review received from other users.
like_count
Total number of likes or positive reactions the review received.
up_votes
Number of upvotes or positive votes the review received.
down_votes
Number of downvotes or negative votes the review received.
item_id
Unique product identifier on Lazada platform for the item being reviewed.
item_title
Full title/name of the product being reviewed as displayed on Lazada.
item_url
Direct URL to the Lazada product page where the review was found.
item_image_url
Main product image URL from the Lazada product page.
category_id
Category identifier for the product classification on Lazada.
sku
SKU (Stock Keeping Unit) identifier for the specific product variant reviewed.
sku_info
Detailed SKU information including variant specifications (color, size, model).
seller_id
Unique identifier for the seller or vendor on Lazada marketplace.
seller_name
Name of the seller or vendor who sold the product on Lazada.
Ready to see this data in action?
Choose Your Plan
Flexible pricing options for different data extraction needs and usage volumes.
Free Trial
Perfect for testing the extension and small-scale extraction projects.
Free features include
- Up to 20 reviews per export session
- CSV export format
- Basic interval settings (5 seconds)
- Standard extraction speed
- Community support via forums
No credit card required
Pro Yearly
Maximum savings for serious professionals and businesses with ongoing data needs.
All Pro Monthly features
- All Pro Monthly features included
- 50% savings compared to monthly
- Annual billing with maximum discount
- Priority support with dedicated contact
- Beta access to experimental features
Best value - save $60 per year
What Lazada Sellers Are Saying
See how our scraper is helping Lazada sellers optimize their business.
Ahmad J.
Top Seller, Electronics - MY
The ability to filter by star rating is a lifesaver. I can instantly see all my 1-star reviews and address customer issues before they escalate. Sorting by 'Recent' helps me keep a pulse on feedback for new product launches.
Isabelle C.
Fashion Boutique Owner - PH
As a fashion seller, visual feedback is key. This tool extracts all review images, and I can sort by 'Rating: Low to High' to quickly find critical feedback. It's essential for my quality control.
Linh T.
Home & Living Store - VN
I use this to analyze my competitors. The 'Relevant' sort option gives me a quick overview of the most impactful reviews on their products. The data is clean and the export is seamless.
David L.
LazMall Brand Manager - SG
This tool is more powerful than Lazada's own backend analytics. The detailed filtering and sorting, combined with the comprehensive data fields, allow us to generate reports that were impossible before.
Rina S.
Health & Beauty Seller - ID
Sorting by rating has helped me identify my product's key strengths and weaknesses. I've used the 5-star reviews in my marketing materials and the 1-star reviews to improve my product. Sales are up 20%!
Somchai K.
Automotive Parts Supplier - TH
My customers are very specific about product fit. Filtering reviews by star rating helps me quickly identify any issues with product descriptions or compatibility. It has saved me countless hours.
Frequently Asked Questions
Your questions about sorting, filtering, and extracting Lazada reviews answered.
How do the sorting options work?
You can sort reviews by: 'Relevant' (Lazada's default), 'Recent' (newest first), 'Rating: High to Low', or 'Rating: Low to High'. This allows you to analyze feedback from multiple angles.
How does the star filtering work?
You can choose to extract all reviews ('All Stars') or focus on specific ratings by selecting 1, 2, 3, 4, or 5 stars. This is perfect for isolating positive testimonials or identifying critical feedback.
Which Lazada regional sites are supported?
Our scraper works seamlessly across all Lazada regions: Indonesia (.co.id), Malaysia (.com.my), Singapore (.sg), Thailand (.co.th), Philippines (.com.ph), and Vietnam (.vn).
Is my data safe?
Yes. All processing happens locally on your computer. We never see or store your data, ensuring 100% privacy and security.
What export formats are available?
You can export data to CSV, Excel (XLSX), or JSON formats, making it easy to integrate with your existing tools and workflows.
Is there a limit to how many reviews I can extract?
The free version is limited to 20 reviews per export. Our Pro plans offer unlimited review extraction, so you can get all the data you need.
Ready to Master Your Lazada Reviews?
Start making data-driven decisions. Filter, sort, and analyze customer feedback to boost your sales and improve your products.