Start the application with yarn start then, navigate to in your browser. We retrieve all data ordered by name in the ascending direction. Now we identified which data we want this can be translated to the Typescript type below. The picture below shows which data we want to retrieve from the page. So, the first step is to define which data we want from the page. The only way to know is to analyze the page structure, but the page is huge with many useless data. Retrieve the data from page contentįor cheerio to get the data, we need to provide the selector in the HTML page that holds the data we want. It is a huge misunderstandable HTML code, and it is here cheerio will help us select the data we need. Let's run this code to see the output: ts-node src/scraper.ts For that, let's create a file called scraper.ts inside the folder src, then add the code below: import axios from 'axios' Ĭonst response = await axios.get(PAGE_URL) Īs you see, getting the content of the page is very straightforward. We will use Axios to get the HTML content of the page.
Web scraping in nodejs install#
Yarn install No need to install types definition for Axios there are included in the library. Now we have a working project, let's continue by installing libraries for web scraping. # Enter database credentials for your local environment, save and exit git clone -b express-mongo node-web-scraping The branch express-mongo has Express and Mongoose already installed so we can focus on the web scraping part. To start, we will use a boilerplate for the Node.js project we built on this tutorial. Express: Create an endpoint that returns languages stored in the database in a JSON format.Mongoose: Store the data extracted into a MongoDB database.Cheerio: Parse the HTML content to retrieve the data needed.Axios: Get the HTML content of a page through the URL.
Web scraping in nodejs how to#
In this tutorial, we will see how to do that with Node.js, and as a use case, I recently needed data for all programming languages, but I didn't found an API that provides that. In this case, we can use Web scraping to retrieve these data. Still, they are available on a website (of the company or elsewhere). Sometimes, there is no API available that exposes data needed by a feature of your application. The goal is to help at building more features and give flexibility. Today, companies have APIs that are consumed by applications built by other companies or developers.
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