Introduction

In the last chapter, we developed a simple classifier using feature extraction methods. We also covered different algorithms that fall under supervised and unsupervised learning. In this chapter, you will learn how to collect text data by scraping web pages, and then you will learn how to process that data. Web scraping helps you extract useful data from online content, such as product prices and customer reviews, which can then be used for market research, price comparison for products, or data analysis. You will also learn how to handle various kinds of semi-structured data, such as JSON and XML. We will cover different methods for extracting data using Application Programming Interfaces (APIs). Finally, we will explore different ways to extract data from different types of files.