What does Lazada Reviews Scraper do?

Lazada Reviews Scraper allows you to extract Review data of Product from the Lazada shopping site. It gives you detailed Reviews information in structured formats like JSON, which you can use in your own reports, spreadsheets, and applications. Lazada Reviews Scraper allows you to collect detailed Reviews information from all countries where Lazada operates, including:

• Username
• Rating date
• Rating score
• Rating detail
• Image urls
• Interaction metrics

Input & Output

To start collecting Lazada Reviews data, simply fill out the input form. Lazada Reviews Scraper recognizes the following input parameters:

• URL - Links to product information pages.
• Start page & End page - Don't forget to fill in this field, which allows you to choose the start and end page when crawling reviews from the product information pages.
• Filter by - Filter reviews before collecting. Choose one of the following options to filter ("All", "5 star", "4 star", "3 star", "2 star", "1 star")
• Sort by - Sort reviews before collecting. Choose one of the following options to sort ("Relevance", "Recent", "Rating: High to low", "Rating: Low to High")
• Total ratings - Maximum number of reviews collected during the run.
• Limit the number of retries - Maximum number of retries when collecting data when an unexpected error occurs.
• Timeout on page load - Maximum waiting time when accessing the links you provided.
• Proxy configuration - Add a proxy to ensure that during the data collection process, you are not detected as a bot.

Example: Collect reviews data from product information pages

Example url: https://www.lazada.sg/products/genuine-goods-mens-pants-spring-men-casual-pants-high-elastic-business-anti-wrinkle-straight-trousers-summer-ice-silk-long-pants-i3089144495-s21051282411.html

Example Screenshot of reviews in product information page:

Input:

1{
2    "max_retries": 2, // Maximum waiting time when accessing the links you provided.
3    "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
4        "useApifyProxy": true,
5        "apifyProxyGroups": [
6        "RESIDENTIAL" 
7        ],
8        "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
9    },
10    "timeout": 5,
11    "url": "https://www.lazada.sg/products/genuine-goods-mens-pants-spring-men-casual-pants-high-elastic-business-anti-wrinkle-straight-trousers-summer-ice-silk-long-pants-i3089144495-s21051282411.html", // Links to product information pages.
12    "filter_by": "all", // Filter reviews before collecting. Choose one of the following options to filter ("all", "five_star", "four_star", "three_star", "two_star", "one_star")
13    "sort_by": "recent", // Sort reviews before collecting. Choose one of the following options to sort ("relevance", "recent", "high_to_low", "low_to_high")
14    "start_page": 1, // The starting page number you want to crawl
15    "end_page": 10, // the ending page number you want to crawl
16    "total_ratings": 200 // Total number of reviews collected during the run
17}

Output:

You get the output from the Lazada Reviews Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

1[ // List of review information
2    {
3        "username": "*****525",
4        "rating_date": "4 days ago",
5        "rating_score": 5,
6        "rating_detail": "Great value for the price, Cool and comfortable in summer, \n ",
7        "image_urls": [],
8        "interaction_metrics": {
9            "like": 0
10        },
11        "page": 1
12    },
13    {
14        "username": "*****793",
15        "rating_date": "3 days ago",
16        "rating_score": 5,
17        "rating_detail": "Great value for the price, Stylish and versatile design, Good  price highly recommended especially offer time. Fast delivery within two days. Will buy again once finished. ",
18        "image_urls": [
19            "https://lzd-u.slatic.net/0309bda700834ca081b00d4aef90e681_12_1734755586.264255.jpg_120x120q80.jpg_.webp",
20            "https://lzd-u.slatic.net/0309bda700834ca081b00d4aef90e681_13_1734755601.972345.jpg_120x120q80.jpg_.webp"
21        ],
22        "interaction_metrics": {
23            "like": 0
24        },
25        "page": 2
26    }
27    // ... Many other review details
28]

How can I use the data extracted from Lazada with Lazada Reviews Scraper?

1💙 Optimize Product Descriptions: Use customer keywords to refine product titles and descriptions for better visibility.
2🔬 Analyze Customer Sentiments: Identify trends in positive and negative feedback to improve product quality and service.
3⭐Improve Customer Engagement: Address common concerns or praise highlighted in reviews to build trust.
4🪧 Enhance Marketing Strategies: Discover what features or benefits customers value most for targeted promotions.
5📚 Track Competitor Insights: Compare your reviews with competitors to uncover strengths and opportunities.
6📋 Forecast Demand: Use review trends to predict popular products and plan inventory.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Lazada Reviews Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.