How to Extract Data from E-commerce WebsitesTuesday, February 18, 2020
Online shopping has become a popular trend with a rapidly growing market size. E-commerce sites have also developed rapidly. The demand for extracting data from e-commerce websites is also growing.
Data and eCommerce
E-commerce refers to the purchase and sale of goods and/or services via electronic channels. By simply clicking a mouse or touching a screen, shoppers can purchase nearly any product online - from groceries to cars, from insurance policies to home loans. The world of electronic commerce, also called e-commerce, allows shoppers to buy at thousands of online stores and pay for their purchases without leaving the comfort of home.
Data is a crucial part of e-commerce businesses. With more knowledge collected from customers through different touchpoints like loyalty programs, visitor browsing patterns, and past purchase behavior, e-commerce businesses will process this information to carry out client segmentation and so push out personalized content and promotions. For e-commerce website owners, it’s really necessary to track and monitor prices of what your competitors are selling their products at.
A relatively accurate profile is often created for each customer after collecting and processing data. This customer profile can thus provide insights as to what price would re-engage the customer and persuade him to make another purchase. Note that this is proven to be the most effective for customer retention methods. This may also help expedite the process of deciding whether or not a $10 off or 20% discount would work the best on any specific customer.
Extract Data from e-commerce sites
To extract data from e-commerce websites, you can take advantage of web scraping tools like Octoparse. Check out this video to see how to build a scraper from scratch and extract information from Amazon.
Author: The Octoparse Team