2..2.1. Web Scraping with BeautifulSoup:

• Identify a website with tabular data (e.g., a Wikipedia table).

• Use BeautifulSoup to scrape the data and store it in a DataFrame.

• Display the first few rows of the DataFrame.

Program 3:Find and print all article titles 

Step 1: Install Required Libraries 

pip install requests beautifulsoup4 pandas

from bs4 import BeautifulSoup

import requests

# Step 1: Send a request to fetch the web page content

url = "https://example-news-site.com"  # Replace with an actual news site

response = requests.get(url)

# Step 2: Parse the HTML content

soup = BeautifulSoup(response.content, "html.parser")

# Step 3: Find and print all article titles (assuming they are in <h2> tags with a class 'title')

for title in soup.find_all('h2', class_='title'):

    print(title.get_text())

Expected Output

Breaking News: Major Tech Innovations in 2024

Global Markets Rise Amid Economic Recovery

Climate Change Impact: New Studies Reveal Alarming Data

...

Explanation:

How it works:

1. Send Request: The script sends a request to the website to get the HTML content.

2. Parse Content: It parses the content using BeautifulSoup to make it easier to navigate.

3. Extract Titles: It looks for all <h2> elements with the class title (which is a common way to structure article titles) and extracts the text.

4. Display Titles: Finally, it prints out all the article titles.