Eagle_Pro

🌐 Introduction

In this project, you’ll create a Web Scraper App in Python that extracts quotes, authors, and tags from a live website.
You’ll use the BeautifulSoup and Requests libraries to fetch and parse HTML data — one of the most valuable skills in data collection and automation.

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🧠 Key Concepts Covered

Concept	Description
Web Scraping	The process of automatically extracting information from websites.
Requests	A Python library that retrieves HTML content from URLs.
BeautifulSoup	A library that parses and navigates HTML or XML documents.

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🧰 What You’ll Need

• Python 3 installed
• Libraries: requests, beautifulsoup4
  (Install using pip install requests beautifulsoup4)

We’ll use a public test website: quotes.toscrape.com — designed specifically for web scraping practice.

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💻 Step-by-Step Code

File Name: quote_scraper.py

import requests
from bs4 import BeautifulSoup

URL = "https://quotes.toscrape.com"
response = requests.get(URL)

if response.status_code == 200:
    soup = BeautifulSoup(response.text, "html.parser")
    quotes = soup.find_all("div", class_="quote")

    print("💬 Quotes from the Website:\n")

    for quote in quotes:
        text = quote.find("span", class_="text").text
        author = quote.find("small", class_="author").text
        tags = [tag.text for tag in quote.find_all("a", class_="tag")]

        print(f"📝 Quote: {text}")
        print(f"👤 Author: {author}")
        print(f"🏷️ Tags: {', '.join(tags)}\n")
else:
    print("⚠️ Failed to retrieve the page. Check your connection.")

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🧩 Example Output

💬 Quotes from the Website:

📝 Quote: “The world as we have created it is a process of our thinking.”
👤 Author: Albert Einstein
🏷️ Tags: change, deep-thoughts, thinking, world

📝 Quote: “It is our choices, Harry, that show what we truly are.”
👤 Author: J.K. Rowling
🏷️ Tags: choices

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⚙️ How It Works

1. The requests module fetches the HTML page.
2. BeautifulSoup parses the HTML content.
3. The program extracts specific elements — text, author, and tags.
4. Finally, it prints the data in a clean and readable format.

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🚀 Bonus Enhancements

• Save all quotes to a CSV file using pandas or csv.
• Scrape multiple pages using pagination links.
• Add an option to search quotes by keyword.
• Create a GUI interface with tkinter.

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🧠 Summary

• You built a Python Web Scraper using BeautifulSoup and requests.
• You learned how to extract specific data from HTML elements.
• This project forms the foundation for data mining, automation, and AI-powered datasets.

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