Web Scraping for Beginners – Web Scraping Using Node JS!

Gyan Vardhan 28 Oct, 2020 • 5 min read

This article was published as a part of the Data Science Blogathon.

“Looking for a needle in a haystack”. These lines portray the importance of quality data in the real world. What about the tons of data that are easily available but the quality data is like gold rare to find.


Gathering information across the web is web scraping, also known as Web Data Extraction & Web Harvesting. Nowadays data is like oxygen for startups & freelancers who want to start a business or a project in any domain. Suppose you want to find the price of a product on an eCommerce website. It’s easy to find but now let’s say you have to do this exercise for thousands of products across multiple eCommerce websites. Doing it manually; not a good option at all.


Get to know the Tool

JavaScript is a popular programming language and it runs in any web browser.

Node JS is an interpreter and provides an environment for JavaScript with some specific useful libraries.

In short, Node JS adds several functionality & features to JavaScript in terms of libraries & make it more powerful.

web scraping node js


Let’s get to understand web scraping using Node JS with an example. Suppose you want to analyze the price fluctuations of some products on an eCommerce website. Now, you have to list out all the possible factors of the cause & cross-check it with each product. Similarly, when you want to scrape data, then you have to list out parent HTML tags & check respective child HTML tag to extract the data by repeating this activity.

Steps Required for Web Scraping

  • Creating the package.json file
  • Install & Call the required libraries
  • Select the Website & Data needed to Scrape
  • Set the URL & Check the Response Code
  • Inspect & Find the Proper HTML tags
  • Include the HTML tags in our Code
  • Cross-check the Scraped Data

I’m using Visual Studio to run this task.

Step 1- Creating the package.json file

To create a package.json file, I need to run npm init and give a few details as needed in the below screenshot.

web scraping node js

Create package.json


Step 2- Install & Call the required libraries

Need to run the below codes to install these libraries.


Install Libraries

Once the libraries are properly installed then you will see these messages are getting displayed.


web scraping node js

logs after packages get installed

Call the required libraries:


Call the library


Step 3- Select the Website & Data needed to Scrape.

I picked this website “https://www.bullion-rates.com/gold/INR/2007-1-history.htm” and want to scrape data of gold rates along with dates.

web scraping node js

Data we want to scrape

Step 4- Set the URL & Check the Response Code

Node JS code looks like this to pass the URL & check the response code.

web scraping node js

Passing URL & Getting Response Code


Step 5- Inspect & Find the Proper HTML tags

It’s quite easy to find the proper HTML tags in which your data is present.

To see the HTML tags; right-click and select the inspect option.

Inspecting the HTML Tags

Select proper HTML Tags:-

If you noticed there are three columns in our table, so our HTML tag for table row would be “HeaderRow” & all the column names are present with tag “th” (Table Header).


And for each table row (“tr”) our data resides in “DataRow” HTML tag

Now, I need to get all HTML tags to reside under “HeaderRow” & need to find all the “th” HTML tags & finally iterate through “DataRow” HTML tag to get all the data within it.


Step 6- Include the HTML tags in our Code

After including the HTML tags, our code will be:-

Code Snippet


Step 7- Cross-check the Scraped Data

Print the Data, so the code for this is like:-


Our Scraped Data


If you go to a more granular level of HTML Tags & iterate them accordingly, you will get more precise data.

That’s all about web scraping & how to get rare quality data like gold.



I tried to explain Web Scraping using Node JS in a precise way. Hopefully, this will help you.

Find full code on


If you have any questions about the code or web scraping in general, reach out to me on


We will meet again with something new.

Till then,

Happy Coding..!

Gyan Vardhan 28 Oct 2020

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