default const fethHtml = async url => module. scraper.js const cheerio = require ( " cheerio " ) const axios = require ( " axios " ). Cheerio provides methods like find() to find elements, each() to iterate through elements, filter() method amongst others. Now create a function to make the request and fetch the HTML content. For example, an element with a class of submitButton can be represented as (’.submitButton’), id as (’submitButton’) and also pick a h1 element by using (‘h1’). To make HTTP requests I will use Axios, but you can use whatever library or API you want.Īfter installing Axios, create a new file called scraper.js inside the project folder. Mkdir web-scraping-demo & cd web-scraping-demo
Cheerio npm install#
If you don't, install it using your preferred package manager or download it from the official Node JS site by clicking here.įirst, create a folder for this project and navigate to the new folder: When we expand this div we will notice that each item on this list is an "" element inside the div with id="search_resultsRows":Īt this point, we know what web scraping is and we have some idea about the structure of the Steam site.īefore you start, make sure you have NodeJs installed on your machine. If you inspect the page(ctrl + shift + i), you can see that the list of deals is inside a div with id="search_resultsRows": Our target website in this article is Steam. It's because Cheerio uses JQuery selectors. If you are familiar with JQuery, Cheerio syntax will be easy for you. Note that Cheerio is not a web browser and doesn't take requests and things like that. It also has methods to modify an HTML, so you can easily add or edit an element, but in this article, we will only get elements from the HTML.
Cheerio npm how to#
So, I like to think Web Scraping is a technique that uses crawlers to navigate between the web pages and after scraping data from the HTML, XML or JSON responses.Ĭheerio is an open-source library that will help us to extract relevant data from an HTML string.Ĭheerio has very rich docs and examples of how to use specific methods. Web Crawler: An agent that uses web requests to simulate the navigation between pages and websites. If you are more familiar with these subjects feel free to correct me and enrich this post.įirst, we need to understand Data Scraping and Crawlers.ĭata Scraping: The act of extract(or scraping) data from a source, such as an XML file or a text file. *A brief note: I'm not the Jedi Master in these subjects, but I've learned about this in the past months and now I want to share a little with you. Scraping data with Cheerio and Axios(practical example) In this article, we’ll cover the following topics:
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