Web Scrape Walmart.com

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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) format  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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