![]() ![]() ![]() In the next step, you will install project dependencies. Successfully running the above command will create a package.json file at the root of your project directory. Open the directory you created in the previous step in your favorite text editor and initialize the project by running the command below. In this step, you will navigate to your project directory and initialize the project. In the next step, you will open the directory you have just created in your favorite text editor and initialize the project.ĪDVERTISEMENT Step 2 - Initialize the Project You should be able to see a folder named learn-cheerio created after successfully running the above command. You can give it a different name if you wish. The command will create a directory called learn-cheerio. In this step, you will create a directory for your project by running the command below on the terminal. You can follow the steps below to scrape the data in the above list. This is what the list of countries/jurisdictions and their corresponding codes look like: It is under the Current codes section of the ISO 3166-1 alpha-3 page. In this example, we will scrape the ISO 3166-1 alpha-3 codes for all countries and other jurisdictions as listed on this Wikipedia page. It is important to point out that before scraping a website, make sure you have permission to do so – or you might find yourself violating terms of service, breaching copyright, or violating privacy. In this section, you will learn how to scrape a web page using cheerio. If you want to use cheerio for scraping a web page, you need to first fetch the markup using packages like axios or node-fetch among others.ĪDVERTISEMENT How to Scrape a Web Page in Node Using Cheerio That explains why it is also very fast - cheerio documentation. It simply parses markup and provides an API for manipulating the resulting data structure. The major difference between cheerio and a web browser is that cheerio does not produce visual rendering, load CSS, load external resources or execute JavaScript. Since it implements a subset of JQuery, it's easy to start using Cheerio if you're already familiar with JQuery.Īccording to the documentation, Cheerio parses markup and provides an API for manipulating the resulting data structure but does not interpret the result like a web browser. What is Cheerio?Ĭheerio is a tool for parsing HTML and XML in Node.js, and is very popular with over 23k stars on GitHub. Though you can do web scraping manually, the term usually refers to automated data extraction from websites - Wikipedia. Web scraping is the process of extracting data from a web page. Feel free to ask questions on the freeCodeCamp forum if you get stuck But you can still follow along even if you are a total beginner with these technologies. You should have at least a basic understanding of JavaScript, Node.js, and the Document Object Model (DOM).You need to have a text editor like VSCode or Atom installed on your machine.If you don't have Node, just make sure you download it for your system from the Node.js downloads page Here are some things you'll need for this tutorial: The sites used in the examples throughout this article all allow scraping, so feel free to follow along. It's your responsibility to make sure that it's okay to scrape a site before doing so. In this article, I'll go over how to scrape websites with Node.js and Cheerio.īefore we start, you should be aware that there are some legal and ethical issues you should consider before scraping a site. To get the data, you'll have to resort to web scraping. There might be times when a website has data you want to analyze but the site doesn't expose an API for accessing those data.
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