#Lazada product data scraping service

[productdata]

Lazada Category-Wise Data Extraction for Market Analysis

Introduction

Lazada, a leading e-commerce platform in Southeast Asia, offers a vast range of products across categories like electronics, fashion, beauty, and home appliances. Lazada Web Scraping Services helps businesses analyze product availability, pricing trends, customer preferences, and competition. Extracting structured data from Lazada enables e-commerce businesses, data analysts, and market researchers to make informed decisions and refine their strategies. Using advanced services, businesses can systematically Scrape Lazada Product Data, gaining insights into top-selling items, price fluctuations, and emerging trends. This data extraction process supports competitive analysis, demand forecasting, and pricing optimization, ensuring businesses stay ahead. For inventory planning or market research, structured category-wise data from Lazada enhances strategic decision-making.

This article explores the significance of Lazada Category-Wise Data Extraction, its key applications, and its benefits to stakeholders looking to leverage e-commerce data effectively.

This article explores the significance of Lazada Category-Wise Data Extraction, its key applications, and its benefits to stakeholders looking to leverage e-commerce data effectively.

The Importance of Lazada Category-Wise Data Extraction

Extracting category-wise data from Lazada is essential for businesses looking to stay competitive in the fast-growing e-commerce market. By leveraging structured data, companies can gain valuable insights into pricing trends, consumer behavior, and emerging market opportunities. Below are the key reasons why category-wise data extraction is crucial:

Competitive Intelligence : Utilizing Lazada E-commerce Data Scraping, businesses can analyze competitor pricing, promotions, and product descriptions. This data enables sellers to optimize pricing strategies, refine product listings, and offer competitive deals that attract more customers.

Market Analysis : With Lazada Seller Data Extraction, businesses can assess product demand across various categories. This helps identify trending products and untapped market opportunities, allowing brands to introduce the right products at the right time.

Customer Behavior Insights : Extracting a structured Lazada Product and Review Dataset enables businesses to track customer reviews, ratings, and feedback. This data helps brands understand consumer preferences, improve product quality, and enhance customer satisfaction.

Product Performance Tracking : Using Real-Time Lazada Data Scraping, businesses can monitor sales performance, stock availability, and pricing fluctuations within different categories. This supports inventory planning, stock management, and demand forecasting.

Dynamic Pricing Strategies : With eCommerce Dataset Scraping, companies can analyze real-time pricing trends and competitor adjustments. This allows for flexible pricing strategies that align with market conditions, ensuring better profitability and competitive positioning.

Enhanced Decision-Making : Extract Lazada E-Commerce Product Data to enable businesses to make informed decisions regarding marketing campaigns, promotional activities, and product expansion. Data-driven insights empower brands to optimize their e-commerce strategies for sustainable growth.

Category-wise data extraction from Lazada provides businesses with actionable intelligence, helping them refine their operations and stay ahead in the competitive e-commerce landscape.

Applications of Lazada Category-Wise Data Extraction

Lazada category-wise data extraction is crucial in helping businesses gain market intelligence and optimize their strategies. Below are the key applications for extracting structured data from Lazada’s diverse product categories:

1. Price Monitoring and Optimization : Retailers and e-commerce businesses must track competitor pricing to stay competitive. By using Extract Lazada E-Commerce Product Data, businesses can collect real-time pricing information from various categories, enabling them to implement dynamic pricing strategies. This helps adjust prices based on demand fluctuations, seasonal trends, and competitor movements, ensuring better profitability and customer retention.

Tracking trending products within specific categories allows businesses to focus on high-demand items and align their marketing strategies accordingly. Using Extract E-commerce Data, businesses can analyze product performance in categories like fashion, electronics, and home appliances, where trends shift rapidly. This insight helps brands optimize their inventory and promotional efforts.

3. Customer Sentiment Analysis : Understanding consumer preferences is crucial for improving product offerings. By scraping customer reviews and ratings from various Lazada categories, businesses can gauge sentiment, identify common issues, and enhance product quality. Leveraging Web Scraping E-commerce Websites helps companies monitor real-time customer feedback, allowing them to address negative reviews promptly and improve customer satisfaction.

4. Inventory Management : Analyzing product stock levels across multiple categories provides valuable insights into product availability and restocking needs. Businesses can Extract Lazada E-Commerce Product Data to identify frequently out-of-stock products and optimize inventory levels. This prevents lost sales opportunities and ensures a steady supply of in-demand products.

5. Competitor Analysis : Extracting category-wise data helps businesses evaluate competitor strategies, product descriptions, and promotional offers. Extract E-commerce Data to analyze discounts, bundle deals, and seasonal promotions to refine their strategies, gaining a competitive advantage in the marketplace.

6. Vendor and Supplier Analysis : To make informed sourcing decisions, brands and wholesalers must evaluate vendor performance, pricing, and product range. Using Web Scraping E-commerce Websites, businesses can collect supplier data, compare pricing models, and negotiate better deals with existing suppliers, improving procurement strategies.

7. Performance Benchmarking : Businesses can compare product performance with competitors by analyzing Lazada category-wise data. Extract Lazada E-Commerce Product Data to gain valuable insights into best-selling products, conversion rates, and overall market positioning. This enables businesses to enhance marketing strategies, improve product descriptions, and boost their online presence effectively.

Category-wise data extraction from Lazada empowers businesses with the intelligence needed to make data-driven decisions, optimize pricing, and stay ahead in the highly competitive e-commerce landscape.

Key Data Points Extracted from Lazada Categories

When extracting data from Lazada, the following key attributes are collected for analysis:

1. Product Titles – Helps understand how competitors name and market their products.

2. Pricing Details – Includes original price, discounted price, and price fluctuations.

3. Product Descriptions – Provides insights into key product features and specifications.

4. Customer Ratings and Reviews – Crucial for sentiment analysis and product improvement.

5. Stock Availability – Helps in demand forecasting and inventory planning.

6. Seller Information – Identifies top-performing sellers and their pricing strategies.

7. Product Images – Useful for analyzing visual presentation and branding strategies.

8. Shipping and Delivery Details – Helps businesses understand logistics trends and cost implications.

9. Discounts and Promotions – Assists in competitive pricing and marketing strategy development.

10. Category and Subcategory Classification – Provides insights into product segmentation and consumer demand.

Benefits of Lazada Category-Wise Data Extraction

Lazada category-wise data extraction helps businesses gain insights into pricing trends, product demand, and customer preferences. It enables competitive analysis, inventory optimization, and dynamic pricing strategies, empowering e-commerce businesses to make data-driven decisions and enhance market positioning effectively.

1. Improved Decision-Making – Businesses can leverage real-time market data to make strategic decisions. By extracting detailed product, pricing, and customer sentiment data, companies gain valuable insights into market demand, enabling them to stay ahead of competitors and respond effectively to changing trends.

2. Better Product Positioning – Understanding how competitors categorize, describe, and promote their products allows businesses to optimize their listings. By analyzing competitor strategies, businesses can refine product descriptions, use better keywords, and improve product images to attract more buyers and increase conversions.

3. Enhanced Pricing Strategies – Dynamic pricing is essential in a competitive e-commerce market. Extracting category-wise pricing data helps businesses set competitive prices, implement real-time adjustments, and maximize sales while maintaining profitability. This ensures that businesses remain attractive to price-sensitive customers without sacrificing margins.

4. Increased Sales and Revenue – Analyzing product demand trends within different Lazada categories helps businesses stock high-demand items while avoiding low-performing products. By aligning inventory with consumer preferences, companies can reduce losses from unsold stock, improve turnover rates, and increase overall revenue.

5. Improved Customer Satisfaction – Monitoring customer reviews, ratings, and feedback across different product categories enables businesses to identify recurring issues and enhance product quality. Addressing consumer concerns proactively leads to better customer experiences, higher ratings, and increased brand loyalty.

6. Competitive Edge – Access to competitor insights, such as product promotions, discount patterns, and best-selling items, allows businesses to refine their marketing strategies. By identifying gaps in the market, businesses can introduce unique value propositions, launch targeted campaigns, and maintain a strong competitive position.

7. Optimized Inventory Management – Real-time data extraction helps businesses track stock levels, identify frequently out-of-stock products, and manage inventory more efficiently. By predicting demand fluctuations, companies can maintain optimal stock levels, prevent shortages, and minimize excess inventory costs.

Category-wise data extraction enables businesses to enhance decision-making, improve customer engagement, and drive sustainable growth in the competitive e-commerce landscape.

Challenges in Extracting Category-Wise Data from Lazada

While Lazada category-wise data extraction offers immense benefits, there are some challenges to consider:

1. Website Structure Changes – Lazada frequently updates its website structure, which can affect data extraction methods.

2. IP Blocking and Rate Limiting – Excessive requests may trigger security measures, restricting access to data.

3. CAPTCHAs and Anti-Scraping Mechanisms – Lazada employs protective measures that make data extraction more challenging.

4. Data Volume and Complexity – Handling and processing large amounts of data across multiple categories requires robust infrastructure.

5. Legal and Ethical Considerations – To avoid legal risks, customers must comply with Lazada’s terms of service and data protection regulations.

How Does Product Data Scrape Help Scrape Lazada Data?

Bulk Data Extraction – Scraping tools can efficiently extract large volumes of product data from Lazada, including descriptions, images, specifications, and seller details.

Dynamic Price Monitoring – Businesses can track real-time fluctuations, helping them adjust their pricing strategies based on competitor movements and market demand.

Customer Sentiment Analysis – Extracting reviews and ratings from Lazada allows businesses to analyze consumer feedback, identify pain points, and enhance product offerings.

Trend Identification – Scraped data helps businesses spot emerging product trends and seasonal demands, allowing them to stay ahead in the e-commerce market.

SEO and Keyword Optimization – Extracting product titles and descriptions helps businesses refine their product listings with high-performing keywords, improving search visibility.

Sales Performance Tracking – Businesses can analyze which products perform well in different Lazada categories, helping them optimize inventory and marketing efforts.

Conclusion

Lazada category-wise data extraction is a powerful tool for businesses seeking insights into pricing trends, product availability, customer sentiment, and competitor strategies. By leveraging extracted data, companies can make informed decisions, optimize inventory, and enhance their marketing efforts. Despite the challenges, using advanced scraping techniques and ethical data collection methods ensures a smooth and effective data extraction.

For businesses aiming to succeed in the highly competitive e-commerce landscape, category-wise data extraction from Lazada provides a significant advantage. Access to accurate and structured data allows companies to stay ahead of market trends, improve customer experiences, and drive business growth.

At Product Data Scrape, we strongly emphasize ethical practices across all our services, including Competitor Price Monitoring and Mobile App Data Scraping. Our commitment to transparency and integrity is at the heart of everything we do. With a global presence and a focus on personalized solutions, we aim to exceed client expectations and drive success in data analytics. Our dedication to ethical principles ensures that our operations are both responsible and effective.

Read More>> https://www.productdatascrape.com/lazada-category-wise-data-extraction.php

Lazada Category Wise Data Extraction, Lazada Web Scraping Services, Extracting structured data from Lazada, Lazada E-commerce Data Scraping, Real-Time Lazada Data Scraping, Web Scraping E-commerce Websites,

[crawlxpert12]

Scraping Lazada Product Data – Extract Lazada Data

Crawlxpert Provide Lazada Product Data Scraping service – Extract Lazada price, reviews, rating, images and , brand etc

Know More : https://www.crawlxpert.com/e-commerce/indonesia/scraping-lazada-product-data

[actowiz1]

The Ultimate Guide to Scrape Lazada Product Data

'Using Actowiz Solutions Lazada Product data Scraping Services in the USA, UK, UAE, and Canada helps you Scrape Lazada Product Data like prices, reviews/ratings, images, etc.

know more https://www.actowizsolutions.com/scrape-popular-ecommerce-website-data.php

[iweb-data-scraping]

Lazada Data Scraper – Scrape Lazada Product Data Extract Lazada product reviews and data, parse all the products and category details, including seller name, title, URL, merchant ID, category tree, image URL, brand, colors, style, product overview, availability, description, arrival time, sizes, models, images, starting price, last price, features, reviews, and ratings.

[actowizsolutions]

Lazada Product Data Scraping Services - Scrape Lazada Product Data

Scrape Lazada web data. Extract and parse all product and category information: seller details, merchant ID, title, URL, image URL, category tree, brand, product overview, description, sizes, colors, style, availability, arrival time, initial price, final price, models, images, features, ratings, and reviews.

Get Started

[iwebscrapingblogs]

iWeb Scraping provides the Best Shopee and Lazada Data Scraping services

iWeb Scraping provides the best Shopee and Lazada Data Scraping services to extract or Scrape Shopee and Lazada Data. Get the best Shopee and Lazada Data Scraping services at affordable prices.

About Shopee Shopee is a free, fun, and reliable way of buying and selling online. It is a top mobile-first platform in Southeast Asia. You can join millions of people on Shopee for listing products as well as shop for online deals. Shopping online with Shopee is completely safe and they ensure it. You can get the items ordered get the money back using Shopee Guarantee. Make and search listings free without any extra charges.

About Lazada Lazada is the leading online shopping as well as selling destination of Southeast Asia. Being an e-commerce pioneer in South Asia, Lazada is having 3,000 brands and 155,000 sellers helping 560 million customers in the area using this marketplace platform, well-supported by an extensive range of marketing, data as well as services solutions. Lazada provides an extensive range of products having categories from household goods to consumer electronics, fashion, toys, groceries, and sports equipment. Lazada Group is mainly owned by Alibaba Group Holding Limited.

List Of Website At iWeb Scraping, we scrape these data fields from Shopee and Lazada websites:

Product’s Name & Title Product’s Description Product’s Variants Shipping Data Sales Rankings Product’s Weight Shipping Weight Product’s Types Product’s Specification Product’s Reviews Product’s Ratings Product’s Images Brands And Manufacturers Discounted Prices List Prices Features Merchant’s Description Offered Price

https://www.iwebscraping.com/shopee-and-lazada-data-scraping.php

[rebekas-posts]

TOP 10 PHILIPPINES E-COMMERCE WEB SCRAPING SERVICES - SCRAPE PHILIPPINES ECOMMERCE WEB DATA

Data extraction has risen as a very important approach as far as e-commerce industries are concerned, mainly in offering deep data-based concepts. For example, online data crawlers assist in the documents of customer preferences and options. They support in assessing various trends of the purchasing behavior of online spheres. Web scraping has helped a lot of e-commerce companies of Philippines like OLX, Cebu Pacific, Ensogo, eBay, Lamudi, Carmudi, Autodeal, ZipMatch, and many more.

The method of web scraping consists of auto crawlers in the apparent content of different e-commerce sites. After that, these scrapers extract the required data and get the details into normal reports. Auto data extraction services for e-commerce websites produce data smoothly.

X-Byte Enterprise Crawling offers Top 10 Philippines E-Commerce Web Scraping services to extract data from the best Philippines e-commerce sites.

List of Top Philippines E-Commerce Sites

Lazada

Shopee

Zalora

Carousell

eBay

Globe Online Shopping

Metrodeal

BeautyMNL

Argomall

Galleon.ph

Extract Data from Philippines E-Commerce Sites

Most online shopping websites get mobile apps as well as they offer better deals on mobile apps, especially during the festive seasons. With X-Byte, you can easily get top 10 Philippines e-commerce site scraping services to scrape data from Lazada, Shopee, Zalora, Carousell, eBay, Globe Online Shopping, Metrodeal, BeautyMNL, Argomall, and Galleon.ph websites that get special deals with mobile apps. At X-Byte, we offer e-commerce web scraping services to our customers with timely delivery and accuracy.

List of Data Fields

At X-Byte, we scrape the following data fields from Philippines e-commerce websites:

Product’s Title or Name

Description

Variants

Shipping Details

Sales Rankings

Shipping Weight & Product Weight

Product Types: New as well as Used

Product Specifications

Product Images

Product’s Ratings

Product Reviews

Brands, Manufacturers

Features

Discounted Prices

List Prices

Merchant’s Description

Offered Price

Model Number

Sellers’ Details & Pricing

X-Byte Enterprise Crawling offers the best 10 Philippines e-commerce web scraping services to scrape deal data from different websites. We provide e-commerce web scraping services to the customers having accuracy as well as on-time delivery. Our Philippines e-commerce data extraction services are helpful to get different product attributes rapidly.

Why X-Byte Enterprise Crawling?

At X-Byte, we offer high-end infrastructure as well as resources to cope with the large-scale data requirements in quick time.

We always provide Philippines e-commerce website scraping services having quicker turnaround time.

We offer well-managed Philippines e-commerce scraping services with unlimited customization alternatives. We provide cleaner and developed data with various delivery options in well-defined formats. Therefore, our Philippines e-commerce data scraping services can satisfy all the requirements you have.

We provide a devoted support team for solving all your customer queries.

We rapidly adjust to physical changes in e-commerce websites and change the scrapers accordingly.

[iwebdatascrape]

Lazada Product Data Scraping Services - Scrape Lazada Product Data

Leverage the benefit of our Lazada product data scraping services to efficiently scrape Lazada product data, encompassing essential details such as product titles, pricing information, and more.

Known More : https://www.iwebdatascraping.com/scrape-lazada-product-data.php

[actowiz1]

The Ultimate Guide to Scrape Lazada Product Data

'Using Actowiz Solutions Lazada Product data Scraping Services in the USA, UK, UAE, and Canada helps you Scrape Lazada Product Data like prices, reviews/ratings, images, etc.

know more https://actowiz.blogspot.com/2023/07/scrape-lazada-product-data.html

[actowiz1]

Scrape Lazada Product Data | Lazada Data Scraping Services

'Using Actowiz Solutions Lazada Product data Scraping Services in the USA, UK, UAE, and Canada helps you Scrape Lazada Product Data like prices, reviews/ratings, images, etc.

know more https://medium.com/@actowiz/the-ultimate-guide-to-scrape-lazada-product-data-c256a6c0b00a

[actowiz1]

Scrape Lazada Product Data | Lazada Data Scraping Services

In the dynamic world of e-commerce, access to accurate and comprehensive product data is crucial for staying ahead of the competition. Lazada, one of the leading online marketplaces in Southeast Asia, offers a vast array of products and a treasure trove of valuable information. In this guide, we will explore the process of scraping Lazada product data and the services available for data extraction. Let’s dive in!

What is Lazada Product Data Scraping?

Lazada product data scraping refers to the automated process of extracting valuable information from Lazada’s product listings. This data can include product names, descriptions, prices, ratings, reviews, seller information, and more. By scraping this data, businesses can gain insights into market trends, competitor analysis, pricing strategies, and customer preferences.

The Need for Lazada Product Data Scraping:

a. Market Research: Scraping Lazada product data enables businesses to conduct comprehensive market research, identify popular product categories, and monitor pricing trends. This information can be used to make informed business decisions and optimize marketing strategies.

b. Competitor Analysis: By scraping product data from Lazada, businesses can keep a close eye on their competitors. This includes monitoring their product range, pricing, promotions, and customer reviews. Understanding the competition helps in refining product offerings and staying ahead in the market.

c. Pricing Optimization: Access to real-time pricing data from Lazada allows businesses to adjust their pricing strategies dynamically. By monitoring competitor prices and analyzing customer behavior, companies can optimize their pricing to attract more customers and maximize profitability.

The Lazada Product Scraper

To scrape Lazada product data effectively, you can utilize web scraping tools or custom-built scripts. These tools automate the data extraction process, saving you time and effort. The Lazada product scraper typically navigates through Lazada’s website, retrieves product pages, and extracts the desired information. However, it’s essential to review Lazada’s terms of service and adhere to ethical scraping practices to avoid any legal issues.

Lazada Product Data Extraction Services:

a. Professional Data Extraction Companies: Several companies specialize in offering data extraction services specifically tailored for Lazada. These companies have advanced tools and expertise in scraping Lazada’s website efficiently and accurately. They can customize the extraction process based on your specific requirements and deliver structured data in a convenient format.

b. Customized Solutions: For more complex data extraction needs or larger-scale projects, it may be worthwhile to develop a customized scraping solution. This involves working with experienced developers who can build a scraper specifically designed to handle Lazada’s website structure and extract the desired data reliably.

c. DIY Scraping: If you have the technical skills and resources, you can create your own Lazada product scraper. This option provides more control over the scraping process but requires a deeper understanding of web scraping techniques and programming languages like Python or JavaScript.

Conclusion:

Scraping Lazada product data and utilizing extraction services open up a world of possibilities for businesses operating in the e-commerce landscape. The extracted data can fuel market research, competitor analysis, pricing optimization, and various other data-driven strategies. Whether you choose professional extraction services or develop your own scraper, the key lies in leveraging the power of Lazada’s product data to make informed decisions and gain a competitive edge in the market.

know more https://medium.com/@actowiz/the-ultimate-guide-to-scrape-lazada-product-data-c256a6c0b00a

[actowiz1]

Scrape Lazada Product Data | Lazada Data Scraping Services

'Using Actowiz Solutions Lazada Product data Scraping Services in the USA, UK, UAE, and Canada helps you Scrape Lazada Product Data like prices, reviews/ratings, images, etc.

know more https://www.actowizsolutions.com/lazada-product-data-scraping.php

[actowiz1]

'Using Actowiz Solutions Lazada Product data Scraping Services in the USA, UK, UAE, and Canada helps you Scrape Lazada Product Data like prices, reviews/ratings, images, etc.

know more https://www.actowizsolutions.com/lazada-product-data-scraping.php

[iwebdatascrape]

How To Scrape Product Data from Shopee and Lazada?

With a start in early 2020 and going through 2022, the Covid-19 pandemic has massively forced people's lives to undergo a facelift. The continuous shift toward online shopping has had a significant impact on businesses across the globe. However, in 2023, several major players emerged to give their best shot in the eCommerce business market. Customer satisfaction is one such aspect that drives business growth. Hence, for one business to get successful, the other must have enough data for comparison. In such an instance, it becomes essential to scrape eCommerce data. Shopee and Lazada are two well-known eCommerce platforms. Before delving deep, let’s understand Shopee and Lazada.

About Shopee

Shopee is a well-known, free, secure application for online purchasing and selling items. It is Southeast Asia’s trendy mobile-first platform. Customers can join millions of users who post for products and shop online. Online shopping with Shopee is entirely safe and secure. You can quickly get the ordered items and a money-back guarantee in case of return. iWeb Data Scraping offers the best Shopee data scraping services to scrape desired products.

About Lazada

Like Shopee, Lazada is Southeast Asia’s most popular online shopping and selling application again. This eCommerce leader in South Asia comprises 3,000 brands and 155,000 sellers to serve more than 560 million users. Its marketplace platform is highly adept with technology, advertising, and service offerings, from domestic goods to electronics products, food, cosmetics, toys, and sports items. Alibaba Group Holding Ltd owns the majority of Lazada Group. To collect data from Lazada, avail the best Lazada data scraping services.

Comparison Table Between Shopee and Lazada

Shopee and Lazada are the top online shopping platforms in SEA. As per the report by Blackbox Research and ADNA, they tied to become the top e-commerce platforms with 93% each in terms of user favorability in Southeast Asia. From the above diagram, it shows that convenience is the top reason for online shopping among Southeast Asian consumers at 43%, followed by discount sales at 33%, variety of choices at 25%, getting into the latest trends at 20%, things not available locally 19%, rewards program 17%, and price 11%.

Why Scrape Shopee and Lazada?

Data collection from Shopee and Lazada is no more a hassle. iWeb Data Scraping offers the best data scraping services at a reasonable rate with the highest data accuracy. Our Shopee and Lazada data scraping services allow you to collect data related to the brand, product, cost, specifications, product ratings, age, photos, and reviews. As the industry continuously evolves, the data scraping method eases the data collection process and makes it easy to keep pace with the latest market dynamics.

List of Data Fields

By scraping Shopee and Lazada, you get the following data fields.

Product Name

Title

Product Description

Rankings

Product Category

Reviews

Product Weight

Specification

Features

List Prices

Brand and Manufacturers

Offers and Discounts

Steps to Scrape Shopee and Lazada Using Python

Below mentioned are the steps to scrape product data from Shopee and Lazada.

Shopee Data Scraping

Here we are performing a scraping exercise on the Shopee website. We will scrape the most bought and affordable laptops available on Shopee.

Shopee has innumerable information, including product names, prices, ratings, etc.’

Find URLs of Laptops on Shopee.com

Step 1: Get the main page content.

Step 2: Find the laptop URLs on the main page.

Step 3: Add other child tags to search further

Step 4: Now, add .get(“href”) to obtain the href value.

Collect Laptop Information

Below is the product page that we need to scrape using Shopee scraper.

We will loop the div, get all the necessary information, and save it within each data variable. Combine all these variables and put them within the data frame to get the list of all laptops.

Data Cleaning

Product Name: In the original data that we extract earlier, the product name comprises emojis that aren’t useful. So, we will remove all data containing emojis in the product name, leaving only the test.

Favorite

We only need the numerical values without the favorite and () in the data. By removing those, we will get all numerical values and change them to the ‘int’ type. The missing data will convert to 0.

Processor

Some of the processor data have misplaced values. We have to remove or replace the missing values with another value.

Rating

The rating data also have some value that requires adding. After converting into float type, we will replace those with the mean of the total rating.

Transform

We will then visualize the data into a box plot, histogram, or scatter plot.

Price: In the below diagram, we can see that there are a lot of outliers in the boxplot. Some data could be better than others.

Favorite & Rating

The below scatter plot shows a moderately strong, negative, and non-linear association between favorites and ratings.

Processor

We will save to the target location. We will save the data frame into.CSV file.

Lazada Product Scraping

Here we will describe how to use Lazada scraper to extract a list of products on Lazada.

Step 2: Go to the previous error page and scrap the products.

For more information, contact iWeb Data Scraping now! You can also reach us for all your web scraping service and mobile app data scraping requirements.

[iwebdatascrape]

Lazada Data Scraper – Scrape Lazada Product Data

Extract Lazada product data like seller name, title, URL, merchant ID, category tree, image URL, brand, colors, style, and more using our Lazada product data scraping service.