Web-scrapping Product Reviews in 3 Minutes.

The most demanded e-commerce product scrapping.

Photo by Emile Perron on Unsplash

In this analysis, we first scrape the information of one of the high selling products, that is, Crocs from amazon. The dataset contains the review given by the customer for the Crocs they purchased with its other important details. Later, we use this dataset to answer multiple questions about the product.

What is web scraping?
It simply means extracting data from the internet/websites for various kinds of analysis. We can better understand it by taking an industrial example.

Let’s divide this complete analysis task into 3 different .ipynb files for easy understanding and better presentation. This whole task, that is, all the three files will be published in three separate articles so that individual articles can be followed according to the requirements. In the first file, that is, the Dataset_Creation file we scrape the following information from the review page of the product - Crocs:

• author_name: It contains the name of the customer who has given the review.
• title: It shows the title of the review.
• rating: It shows the rating given by the customer for the product under that review.
• review: It shows the review…