Building a Web Scraper Using Python

In this blog post, we will explore how to build a web scraper using Python. Web scraping is a technique used to extract data from websites, and Python provides several powerful libraries that make this task relatively easy. We will walk through the process step by step and demonstrate how to extract data from a website and store it in a structured format. So let’s get started!

Step 1:

Before we begin, we need to install the necessary dependencies. We will be using two popular Python libraries for web scraping: BeautifulSoup and requests. Open your terminal and run the following commands to install them:

pip install beautifulsoup4
pip install requests

Step 2:

Making HTTP Requests Once we have installed the required libraries, we can start making HTTP requests to the website we want to scrape. We will be using the requests library to send HTTP GET requests and retrieve the HTML content of the webpage. Here's a code snippet that demonstrates how to make a simple GET request:

import requests

url = 'https://example.com'
response = requests.get(url)

if response.status_code == 200:
    html_content = response.content
    # Further processing...

Step 3: