*Web Scr*ping (Mocked) in Python*

*What is Web Scr*ping?*

Web scr*ping means writing code to fetch and extract data from web pages.

We usually use:

- requests → to download the HTML
- BeautifulSoup → to parse and extract data from HTML

*Step-by-Step Mock Scr*ping Example*

Imagine this is our webpage (stored as a string):

html =
html
body
h1Top Programming Languages/h1
ul
liPython/li
liJavaScript/li
liJava/li
/ul
/body
/html


*Parse It Using BeautifulSoup*

from bs4 import BeautifulSoup

soup = BeautifulSoup(html, html.parser)

Extracting the heading
heading = soup.find(h1).text
print(Heading:, heading)

Extracting the list items
languages = soup.find_all(li)
for lang in languages:
print(Language:, lang.text)

*Output* :

Heading: Top Programming Languages
Language: Python
Language: JavaScript
Language: Java


*Why Use Web Scr*ping?*

- Collect product prices from e-commerce sites
- Grab job listings from job boards
- Gather headlines or articles from news sites
- Monitor stock prices or crypto values
(Always follow website terms of service before scr*ping real websites)


*Mini Task: Extract Blog Titles*

Here’s another HTML string you can experiment with:

html =
div
h2Python for Beginners/h2
h2Data Analysis with Pandas/h2
h2Machine Learning Crash Course/h2
/div


soup = BeautifulSoup(html, html.parser)
titles = soup.find_all(h2)

for t in titles:
print(Blog Title:, t.text)

*What You Practiced:*

- Parsing HTML with BeautifulSoup
- Using find() and find_all()
- Navigating a page's structure
- Extracting content programmatically