Automate your workflow with Nanonets
schedule a demo Get Started

Looking to extract data from a webpage?

Head over to Nanonets website scraper, Add the URL and click "Scrape," and download the webpage text as a file instantly. Try it for free now.

Nanonets' website scraper

What is web scraping and its benefits?

Web scraping is used to scrape data from webpages automatically on a large scale. Web scraping is done to convert data in complex HTML structures to structured format such as a spreadsheet or database, and used for various purposes such as research, analysis, and automation.

Here are some of the reasons why people use web scraping:

  • Extract webpage data efficiently for advanced analysis.
  • Keep a check on competitor website developments and keep an eye out for change in their product offerings, tactics or pricing.
  • Scrape leads or email data from LinkedIn or other directory.
  • Automate tasks such as data entry, form filling, and other repetitive tasks, saving you time and improving efficiency.

Why should you use Node.js for web scraping?

Node.js is used extensively as it is a lightweight, high-performance, and efficient platform. Here are some reasons why node.js is a great choice for web scraping:

  • Node.js can handle multiple web scraping requests parallelly.
  • It has a large community that provides support for and creates meaningful web scraping libraries.
  • Node.js is cross-platform, making it a versatile choice for web scraping projects
  • Node.js is easy to learn, especially if you already know JavaScript
  • Node.js has built-in support for HTTP requests, making it easy to fetch and parse HTML pages from websites
  • Node.js is highly scalable, which is important for web scraping when processing a large volume of data

Looking to extract data from a webpage?

Head over to Nanonets website scraper, Add the URL and click "Scrape," and download the webpage text as a file instantly. Try it for free now.

Nanonets' website scraper

How to scrape webpages using Node JS?

Step 1 Setting up your environment:

You must install node.js if you haven’t already. You can download it using the official website.

Step 2 Installing necessary packages for web scraping with Node.js:

Node.js has multiple options for web scraping like Cheerio, Puppeteer, and request. You can install them easily using the following command.

npm install cheerio
npm install puppeteer
npm install request

Step 3 Setting up your project directory:

You need to create a new directory for the new project. And then navigate to the command prompt to create new file to store your NodeJS web scraping code.

You can create a new directory and new file using the following command:

mkdir my-web-scraper
cd my-web-scraper
touch scraper.js

Step 4 Making HTTP Requests with Node.js:

In order to scrape webpages, you need to make HTTP requests. Now, Node.js has in-built http module. This makes it easy to make requests. You can also use axios or requests to make request.

Here is the code to make http requests with node.js

const http = require('http');
const url = '';
http.get(url, (res) => {
let data = '';
res.on('data', (chunk) => {
data += chunk;
res.on('end', () => {

Replace http.// with the url of your choice to scrape the webpages,

Step 5 Scraping HTML with Node.js:

Once you have the HTML content of a web page, you need to parse it to extract the data you need. Several third-party libraries are available for parsing HTML in Node.js, such as Cheerio and JSDOM.

Here is an example code snippet using Cheerio to parse HTML and extract data:

const cheerio = require('cheerio');
const request = require('request');
const url = '';
request(url, (error, response, html) => {
if (!error && response.statusCode == 200) {
const $ = cheerio.load(html);
const title = $('title').text();
const firstParagraph = $('p').first().text();

This code uses the request library to fetch the HTML content of the web page at url and then uses Cheerio to parse the HTML and extract the title and the first paragraph.

How to handle javascript and dynamic content using Node.js?

Many modern web pages use JavaScript to render dynamic content, making it difficult to scrape them. To handle JavaScript rendering, you can use headless browsers like Puppeteer and Playwright, which allow you to simulate a browser environment and scrape dynamic content.

Here is an example code snippet using Puppeteer to scrape a web page that renders content with JavaScript:

const puppeteer = require('puppeteer');
(async () => {
const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.goto('');
const title = await page.$eval('title', el => el.textContent);
const firstParagraph = await page.$eval('p', el => el.textContent);
await browser.close();

This code uses Puppeteer to launch a headless browser, navigate to the web page at url, and extract the title and the first paragraph. The page.$eval() method selects and extracts data from HTML elements.

Various ways to extract webpage data using NodeJS

Here are some libraries you can use to scrape webpages using NodeJS easily:

Cheerio: is a fast, flexible, and lightweight implementation of core jQuery designed for the server side.

JSDOM: is a pure-JavaScript implementation of the DOM for Node.js. It provides a way to create a DOM environment in Node.js and manipulate it with a standard API.

Puppeteer: is a Node.js library that provides a high-level API to control headless Chrome or Chromium. It can be used for web scraping, automated testing, crawling, and rendering.

Best Practices for Web Scraping with Node.js

Here are some best practices to follow when using Node.js for web scraping:

  • Before scraping a website, read their terms of use. Ensure the webpage doesn’t have restrictions on web scraping or frequency of scraping webpages.
  • Limit the number of HTTP requests to prevent overloading the website by controlling the frequency of requests.
  • Set appropriate headers in your HTTP requests to mimic the behavior of a regular user.
  • Cache webpages and extracted data to reduce the load on the website.
  • Web scraping can be error-prone due to the complexity and variability of websites.
  • Monitor and adjust your scraping activity and adjust your rate limiting, headers, and other settings as needed.

Looking to extract data from a webpage?

Head over to Nanonets website scraper, Add the URL and click "Scrape," and download the webpage text as a file instantly. Try it for free now.

Nanonets' website scraper