Introduction:

Web scraping is a powerful technique used to extract data from websites. With Python and a few libraries, you can easily scrape HTML data from websites and use it for various purposes like data analysis, machine learning, and more. In this tutorial, we'll walk through the basics of web scraping using Python.

Prerequisites:

Before we begin, make sure you have Python installed on your system. You'll also need to install the following Python libraries:

• beautifulSoup: For parsing HTML and XML documents.
• requests: For sending HTTP requests.

Installing Libraries:

You can install these libraries using pip, the Python package manager. Open your terminal or command prompt and run the following commands:

pip install beautifulsoup4

pip install requests

Getting Started:

Let's start by importing the necessary libraries in your Python script:

import requests

from bs4 import BeautifulSoup

Making a Request:

To scrape a webpage, you first need to send an HTTP request to the URL of the webpage. Here's how you can do it using the Requests library:

url = '<https://example.com>'

response = requests.get(url)

Parsing HTML:

Once you have the HTML content of the webpage, you can parse it using BeautifulSoup. This library provides functions to navigate and search the HTML tree structure.