Web Scrape Walmart.com

Posted on Feb 18, 2019

Introduction

In this project, I collected dataset using webs scraping. Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) formatΒ  In this analysis I scraped the data from Walmart and did Laptop computer analysis. Find below the screenshot of laptop computers web page from where I scraped the data.

Objectives

  • Find Top Sellers of Laptops on Walmart.com
  • Assess Top Brands
  • Average brand prices
  • Find Price Breakdown of Laptop computer market.
  • Average Customer Rating by Brand.

Web scraping details

I scraped the following details from Walmart.com using Python 3.7 & BeautifulSoup 4

  • Product Name
  • Brand Name
  • Sell Price
  • Average Review
  • Number of Reviews
  • Seller
  • List Price
  • Shipping Info
  • Page Rank

Analysis

Further analysis

I would like to explore why some products are reviewed more than others. May be if I had access to sales data or explore the social media exposure certain Laptop got I could try to correlate if the sales were the reason for high reviews certain Laptop got or the social media exposure.

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Walmart Data Scrapers (How To Extract Info From Walmart.com) September 3, 2021
[…] While the list above denotes some of the most popular uses for Walmart scraping, there are other uses for data collection. For even more tips about scraping, check out this list here. […]

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