BeautifulSoup is a powerful Python library used to extract data from HTML and XML files. Its widely used in web scr*ping to navigate and search web page structures.

why Use BeautifulSoup?
Parses HTML and XML documents
Easy navigation using tags, classes, and attributes
Works well with requests for fetching pages
Clean and readable syntax
Handles broken HTML gracefully

Basic Usage
python
import requests
from bs4 import BeautifulSoup

url = 'https://example.com'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')


Common Tasks
1. Find Title or Headings
python
title = soup.title.text
h1 = soup.h1.text


2. Find Elements by Tag or Class
python
paragraphs = soup.find_all('p')
div = soup.find('div', class_='main')


3. Get Attributes or Links
python
links = soup.find_all('a')
for link in links:
print(link.get('href'))


4. Extract Table Data
python
rows = soup.find_all('tr')
for row in rows:
cols = row.find_all('td')
data = [col.text for col in cols]
print(data)


Real-World Use Cases
Scr*ping product prices or reviews
Extracting news articles or blogs
Collecting public data from websites
Automating web monitoring tasks

Summary
Ideal For: Extracting structured data from web pages
Strength: Simple, powerful HTML parsing
Bonus: Works great with Requests and Pandas