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Example: reviews of one Lazada product

Runs the Lazada Reviews Scraper on one product page and returns its reviews, ratings and buyer media as JSON.

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Lazada Reviews Scraper: Ratings & Buyer Media, $6/1K Reviews
Lazada Reviews Scraper: Ratings & Buyer Media, $6/1K Reviewsactorforgehq/lazada-reviews-scraper
Row type
Product ID
Review ID
Rating
+17 fields
Text
Number
Boolean
List
Object

Input

Product URLs(required):https://www.lazada.vn/products/x-i246452966.html
Max reviews per product:100
Sort order:1
Star filter:1
Proxy configuration:{3 fields}

Output fields

Row type
Product ID
Review ID
Rating
Product score
Seller score
Delivery score
Review text
Author
Verified purchase
Anonymous
Variant
Review time (as shown)
Review date (ISO)
Bought date (as shown)
Photos
Video
Likes
Seller reply
Buyer follow-up
Product URL

How it works

Sign up on Apify or log in

The Lazada Reviews Scraper: Ratings & Buyer Media, $6/1K Reviews Actor is ready to run with the inputs already set for "Example: reviews of one Lazada product". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Example: reviews of one Lazada product" task

The Lazada Reviews Scraper: Ratings & Buyer Media, $6/1K Reviews Actor will start running based on the input automatically. You can also change all the input fields, like product urls, max reviews per product, and more, to match your specific use case.

Receive the "Example: reviews of one Lazada product" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, product id, review id, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Example: reviews of one Lazada product" task via API.

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Integrate "Example: reviews of one Lazada product" into your workflow

Connect "Example: reviews of one Lazada product" with 100+ integrations, or run it via API or MCP.

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GitHub

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Slack

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LangChain

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LlamaIndex

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Flowise

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OpenAI

OpenAI

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Clay

Frequently asked questions

The Lazada reviews example task returns one product row with the star histogram (stars5 to stars1), hiddenCount and media counts, plus review rows: rating, text, three aspect scores, photos and video links.

The Lazada reviews example task needs only productUrls and runs on one lazada.vn product page. Replace it with your own product links: the product id and the marketplace domain are read from each URL.

The Lazada reviews example task keeps the defaults: 50 reviews per product (maxReviews), most recent first (sort 1), all star ratings (filter 0). No more than 1000 reviews per product are collected.

Lazada withholds part of the reviews from its public endpoint. The Lazada reviews example task can reach only about rateCount minus hiddenCount reviews, and both numbers are in the product row.

The Lazada reviews example task works with all six marketplaces: .vn, .co.id, .com.my, .sg, .co.th and .com.ph. For a non-Vietnamese URL, change the proxy country to match the marketplace.

The Lazada reviews example task can run on Apify Schedules or be called from code through the Apify API. AI agents using the Apify MCP server get typed field metadata from the dataset schema.