Web Scraper to CSV

📌 Project Overview

This Python-based web scraping tool allows you to extract data from web pages and save it directly to a CSV file. The scraper is designed to be flexible, handling various HTML structures and capturing key elements like images, links, headings, and section context.

✨ Features

• 🌐 Fetch webpage content using requests
• 🍲 Parse HTML with BeautifulSoup
• 📊 Extract multiple data points:
  • Image sources
  • Hyperlinks
  • Headings
  • Section context
• 💾 Save data to CSV, preserving duplicates

🚀 Installation

# Clone the repository
git clone https://github.com/AjmalDevala/WebScraper.git

# Navigate to the project directory
cd web scraper

# Install required dependencies
pip install requests beautifulsoup4

🛠 Usage

# Customize the URL and output file
url = "https://www.example.com/target-page"
output_csv = "scraped_data.csv"

scraper = WebScraperToCSV(url, output_csv)
scraper.run()

📦 Dependencies

• requests
• beautifulsoup4
• CSV (built-in)

👤 Author

Ajmal Devala

🔗 Connect With Me

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check issues page.

📝 License

This project is MIT licensed.