Start Your Project with Us

Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.

  • Any feature, you ask, we develop
  • 24x7 support worldwide
  • Real-time performance dashboard
  • Complete transparency
  • Dedicated account manager
  • Customized solutions to fulfill data scraping goals
Careers

For job seekers, please visit our Career Page or send your resume to hr@actowizsolutions.com

How-to-Extract-Lazada-Products-Data-without-Doing-Any-Coding

In this blog post, we will explore the process of scraping and extracting product data from Lazada, one of the leading eCommerce platforms in Southeast Asia. With its extensive range of products across various categories, such as beauty, fashion, electronics, and home appliances, Lazada attracts approximately 150 million monthly users from Thailand, Singapore, the Philippines, and Malaysia. Additionally, with 145,000 sellers and a staggering 300 million listed products, Lazada stands out as one of the top eCommerce sites in Southeast Asia. By leveraging this rich product data, we can delve into the market trends and gain valuable insights into product offerings and pricing in the region.

The Legality of Web Scraping on Lazada: What You Need to Know

If you are considering scraping Lazada for data, it's natural to wonder about the platform's policies and the legality of such actions. Fortunately, Lazada has no stringent policies against web scraping, making extracting data from its website entirely legal.

You can gather a wide range of publicly available information from Lazada by leveraging web scraping techniques. This includes valuable data such as product names, descriptions, brands, sellers, categories, images, prices, conditions, reviews, product URLs, and shipping details. This comprehensive dataset allows you to analyze market trends and gain insights into the most popular and sought-after products. If you are a seller on Lazada or intend to sell products on the platform, utilizing this scraped data can significantly contribute to your success. It lets you identify trending items and strategically add similar products to your store, boosting your sales potential.

Effortless Guide to Scrape Lazada Without Coding: Step-by-Step Instructions

Regarding scraping Lazada for product data, various tools are available to simplify the process. If you're familiar with coding, creating a scraper using Python is a viable option. However, if coding isn't your forte, there's no need to worry. Tools like Actowiz Solutions provide a user-friendly approach to web scraping, making it accessible to everyone. Actowiz Solutions stands out as one of the top data scraping tools in the market, offering the ability to extract data from almost any website, including Lazada. With its intuitive interface, you can effortlessly create a scraper specifically tailored for Lazada, all with just a few clicks. The extracted data is then neatly organized in a well-structured format, ready for analysis and utilization. Say goodbye to the complexities of coding and embrace the simplicity of Actowiz Solutions for your Lazada data scraping needs.

Effortless-Guide-to-Scrape-Lazada-Without-Coding-Step-by-Step-Instructions

Step 1: Input the Target Lazada Link into Actowiz Solutions

For the purpose of this tutorial, let's use the following URL like an example:

https://www.lazada.com.my/catalog/?q=phone+cover&_keyori=ss&from=input. This URL represents the search query on Lazada for the keyword 'phone cover' entered in search box, followed by clicking search button.

To begin, download and install Actowiz Solutions on your device. Launch the software and navigate to the home section. In the search box provided, enter the aforementioned Lazada URL. Then, click on the Start button to proceed.

Step 2: Construct and Personalize Your Workflow in Actowiz Solutions

Upon loading the Lazada website within Actowiz Solutions' integrated browser, the software's auto-detection feature comes into play. This functionality automatically identifies and highlights the relevant data fields on the webpage.

To proceed, click the "Create workflow" button, which will initiate the generation of a workflow based on the detected data fields. Take a moment to review the extracted data in the preview section. If required, you can make any desired changes or refinements to ensure the accuracy and completeness of the scraped information.

Step 3: Extracting Product Data from Lazada with Actowiz Solutions

Once you have verified and confirmed all the data fields in your workflow, save the scraper and click the 'Run' button. Actowiz Solutions provides the flexibility to run the scraper on the cloud or your local device, depending on your preference and requirements.

During the execution process, Actowiz Solutions will diligently extract the desired product data from Lazada based on the defined workflow. After the quick and efficient extraction, you can download the data in Excel files or directly save them to your preferred database for further analysis and utilization.

Effortless Product Data Extraction from Lazada with Actowiz Solutions

If you aim to scrape Lazada and extract product data for research or other purposes, Actowiz Solutions offers a convenient solution requiring no coding. Following the four simple steps outlined above and downloading Actowiz Solutions, you can effortlessly create a scraper and extract the desired product data from Lazada. Enjoy a seamless data extraction process without the need for complex coding procedures. For more details, contact Actowiz Solutions! You can also reach us for your mobile app scraping, instant data scraper, web scraping service requirements.

RECENT BLOGS

View More

How to Scrape Singapore Food Delivery Data for Offer & Fee Benchmarking?

Learn how to Scrape Singapore Food Delivery Data to analyze offers, delivery fees, and gain a competitive edge across platforms like Grab and FoodPanda.

Tracking Uber Eats, DoorDash & Grubhub in the U.S. Using Real-Time Pricing Data Extraction

Discover how Real-Time Pricing Data Extraction helps monitor Uber Eats, DoorDash & Grubhub to analyze trends, pricing shifts & delivery strategies in the U.S.

RESEARCH AND REPORTS

View More

Research Report - Grocery Chain Data USA - Top 10 Leading Grocery Retailers in the U.S. for 2025

Explore the latest insights from Grocery Chain Data USA, revealing the top 10 leading grocery retailers in the U.S. for 2025 by size, reach, and trends.

Kohl’s Store Count USA 2025 - Kohl’s Store Count in the United States for 2025

Discover the latest Kohl’s Store Count USA 2025 data, revealing the total number of Kohl’s locations across the United States and market trends.

Case Studies

View More

Case Study - How UAE-Based Real Estate Platform Achieved 5x Faster Listing Sync with Actowiz UAE Real Estate Data Scraping

Discover how Actowiz's UAE Real Estate Data Scraping helped a leading platform achieve 5x faster listing sync and better accuracy across Bayut, Dubizzle & more.

Case Study - Restaurant Franchise Uses Actowiz Real-Time Menu Analysis to Analyze 5,000 Menus Across U.S. Delivery Apps

Discover how a restaurant franchise leveraged Actowiz’s Real-Time Menu Analysis to analyze 5,000+ menus from U.S. delivery apps and boost pricing accuracy.

Infographics

View More

Tracking E-Commerce Price Change Frequency with Real-Time Data

Track how often prices change on Amazon, Flipkart, and Walmart with real-time data from Actowiz. Optimize pricing strategies with smart analytics and alerts.

City-Wise Grocery Cost Index in the USA – Powered by Real-Time Data

Discover real-time grocery price trends across U.S. cities with Actowiz. Track essentials, compare costs, and make smarter decisions using live data scraping.