https://github.com/ojas-arora/web-scrapping-using-beautiful-soup

Effortlessly scrape static websites with Beautiful Soup! This repo covers 🔍 HTML parsing, 📝 data extraction from page elements, and 📦 structuring scraped data for easy analysis. Just install Beautiful Soup, 🔧 set up the environment, and explore example scripts to begin your scraping journey! 🚀📊
https://github.com/ojas-arora/web-scrapping-using-beautiful-soup

beautifulsoup bs4 machine-learning webscraping webscraping-beautifulsoup

Last synced: 3 months ago
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Effortlessly scrape static websites with Beautiful Soup! This repo covers 🔍 HTML parsing, 📝 data extraction from page elements, and 📦 structuring scraped data for easy analysis. Just install Beautiful Soup, 🔧 set up the environment, and explore example scripts to begin your scraping journey! 🚀📊

• Host: GitHub
• URL: https://github.com/ojas-arora/web-scrapping-using-beautiful-soup
• Owner: Ojas-Arora
• Created: 2024-11-04T11:47:49.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-11-04T14:39:05.000Z (7 months ago)
• Last Synced: 2024-12-30T05:54:11.375Z (5 months ago)
• Topics: beautifulsoup, bs4, machine-learning, webscraping, webscraping-beautifulsoup
• Language: Jupyter Notebook
• Homepage: https://medium.com/@ojas.arora14/web-scrapping-using-beautiful-soup-292e46fa72f2
• Size: 25.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🌐✨Web-Scrapping-Using-Beautiful-Soup 🍜🔍

![image](https://github.com/user-attachments/assets/f6f516b6-44fb-4609-9331-9191cd4637f1)

1. **🌐 Web Scraping:** A technique for extracting information from the internet automatically using our script that simulates human web surfing. 🤖📈

2. **📊 Data Extraction:** Web scraping helps us extract large volumes of data from different websites efficiently. 🌍📚

## 📝 Steps 🚀

![image](https://github.com/user-attachments/assets/4124b7fc-04ee-40ed-a7e1-b36c04b9306e)

- **📥 Load HTML:** Retrieve the web page content.

- **📥 Load HTML:** Retrieve the web page content.

- **📍 Locate and Extract the Desired Data:** Identify and pull out the specific information needed.