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First Node.js scraper

Learn how to use JavaScript and Node.js to create a web scraper, plus take advantage of the cheerio and got-scraping libraries to make your job easier.

Finally we have everything ready to start scraping! Yes, the setup is a bit daunting, but luckily, you only have to do it once. We have our project, we have our main.js file, so let's add some code to it.

Downloading HTML

We will use the got-scraping library to download the HTML of Fakestore's on-sale products page. Careful, the import statement is a little different than in the previous lesson.

// main.js
import { gotScraping } from 'got-scraping';

const response = await gotScraping('');
const html = response.body;

Now run the script (using node main.js). After a brief moment, you should see the page's HTML printed to your terminal. If you get an error that says something along the lines of urlToHttpOptions is not a function, you need to update Node.js to version 15.10 or higher. If you followed the installation instructions earlier, you don't need to worry about this, because you have the correct version installed.

gotScraping is an async function and the await keyword is used to pause execution of the script until it returns the response. Learn more about async and await

Parsing HTML

Having the HTML printed to the terminal is not very helpful. To collect the data, we first have to parse it. Thanks to parsing, we will be able to query the HTML elements similarly to the way we did it in browser in the Collecting Data with DevTools lessons. To parse HTML, we load it into the cheerio library.

// main.js
import { gotScraping } from 'got-scraping';
import cheerio from 'cheerio';

const response = await gotScraping('');
const html = response.body;

const $ = cheerio.load(html);
const titleElement = $('title');
const titleText = titleElement.text();

When you run the above script, the Fakestore title will be printed to the console. And that's great. It means that we successfully parsed the HTML and collected the text of the <title> element from it using Cheerio. Let's break it down.

First, we loaded the downloaded html into cheerio using the load() function. This created a new function, conventionally named $, which allows us to work with the loaded HTML. Then we called $('title'), which found the <title> element by using the title CSS selector. Finally, we collected the text from the element using the .text() function and printed it to the console.

$('title') is very similar to calling document.querySelector('title') in the browser and element.text() is similar to element.textContent from the earlier DevTools lessons. Visit the cheerio documentation to learn more about its syntax, which is the same as JQuery syntax.

Next up

In the next lesson we will learn more about Cheerio and use it to collect all the products' data from Fakestore.