Web Scraping Fundamentals
This book about web scraping covers practical concepts with detailed explanations and example code. We will introduce you to the essential topics in extracting or scraping data (that is, high-quality data) from websites, using effective techniques from the web and the Python programming language.
In this chapter, we are going to understand basic concepts related to web scraping. Whether or not you have any prior experience in this domain, you will easily be able to proceed with this chapter.
The discussion of the web or websites in our context refers to pages or documents including text, images, style sheets, scripts, and video contents, built using a markup language such as HTML. It’s almost a container of various content.
The following are a couple of common queries in this context:
- Why web scraping?
- What is it used for?
Most of us will have come across the concept of data and the benefits or usage of data in deriving information, decision-making, gaining insights from facts, or even knowledge discovery. There has been growing demand for data, or high-quality data, in most industries globally (such as governance, medical sciences, artificial intelligence, agriculture, business, sport, and R&D).
We will learn what exactly web scraping is, explore the techniques and technologies it is associated with, and find and extract data from the web, with the help of the Python programming language, in the chapters ahead.
In this chapter, we are going to cover the following main topics:
- What is web scraping?
- Understanding the latest web technologies
- Data-finding techniques
