8/6/2023 0 Comments Web scraping using javascript![]() ![]() We use const axios = require('axios') to declare Axios in our project and add const url and give it the URL of the page we want to fetch.Īxios will send a request to the server and bring a response we’ll store in const html so we can then call it and print it on the console.Īfter running the scraper using node scraperapi.js in the terminal, it will pull a long and unreadable string of HTML. With everything ready, click on “new file”, name it scraperapi.js, and type the following function to fetch the HTML of the product page we want to collect data from: We’ll talk more about the last library, puppeteer, when scraping dynamic pages later in this article. On the other hand, Cheerio is a jquery implementation for Node.js that makes it easier to select, edit, and view DOM elements. In simple terms, we’ll use Axios to fetch the HTML code of the web page. ![]() * Installing puppeteer will take a little longer as it needs to download chromium as well.Īxios is a promise-based HTTP client for Node.js that allows us to send a request to a server and receive a response. Then we’ll install our dependencies by running npm install axios cheerio puppeteer and waiting a few minutes for it to install. Npm will let us install the rest of the dependencies we need for our web scraper.Īfter it’s done installing, go to your terminal and type node -v and npm -v to verify everything is working properly.Īfter Node.js is installed, create a new folder called “firstscraper” and type npm init -y to initialize a package.json file. The download includes npm, which is a package manager for Node.js. A Node.js scraper allows us to take advantage of JavaScript web scraping libraries like Cheerio- more on that shortly. To begin, go to to download Node.js and follow the prompts until it’s all done. We’ll explore how to do each of these by gathering the price of an organic sheet set from Turmerry’s website.
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