Getting Started with Cheerio
Introduction
Hello! Today, we are going to dive into the powerful world of cheerio library for Node.js. Specifically, we will focus on parsing HTML content. It's a valuable skill that comes in handy when you have to extract insights from websites. By the end of this lesson, you'll be proficient in parsing HTML using cheerio and will know how to find specific elements in the parsed content. So, let's get started.
What is web scraping?
Web scraping is the process of extracting data from websites. It involves fetching the HTML content of a webpage and then parsing it to extract the desired information. Web scraping is a common technique used in various fields, including data science, market research, and business intelligence.
For example, you might scrape a website to extract product information for price comparison, gather news headlines for sentiment analysis, or collect job postings for market research. The possibilities are endless!
In this course, we'll use hardcoded HTML content to demonstrate web scraping techniques, but later in the course, we'll explore how to fetch HTML content from live websites. So, let's start by understanding the basics of cheerio.
Cheerio overview
cheerio is a Node.js library that's used for parsing HTML and XML documents and is often used to extract data from web pages. It implements a subset of core jQuery functionality, making it familiar to developers who have worked with jQuery. It creates a server-side DOM that can be used to extract data in a more readable and hierarchical manner.
To get started with cheerio, you need to install it first. You can do so using npm, the package manager for Node.js.
Once it's installed, you can import it into your Node.js script like so:
Before we jump into parsing, let's briefly touch upon HTML. HTML, or HyperText Markup Language, is the standard markup language for documents intended to be displayed in a web browser. It can include elements like headings, paragraphs, divs, spans, links, etc., all of which help structure the information on a webpage.
Parsing HTML content
