🚀 Website Extractor

This Python script extracts and downloads the HTML, CSS, and JavaScript files from a given website. 🌍✨

🎯 Features

• 📜 Downloads the main HTML file of the target website.
• 🎨 Extracts and downloads linked CSS files.
• 🛠️ Extracts and downloads JavaScript files.
• 📂 Saves all assets inside the website_assets folder for easy access.
• 📝 Includes a simple Notepad text file for guidance.

🔧 Prerequisites

Before running the script, ensure that you have the following installed on your system:

• 🐍 Python (Make sure Python is installed. You can check by running python --version in the terminal.)
• ☕ Java (Check if Java is installed using java -version. If not installed, download it from Oracle)

📥 Installation

1. Install the required Python libraries by running:

   pip install requests beautifulsoup4

▶️ Usage

1. Open the extract_site.py file and replace Target-Website-URL with the URL of the website you want to extract.
2. Run the script using the following command:

   python extract_site.py

3. If everything is correct, the extracted files (HTML, CSS, and JS) will be saved inside the website_assets folder. ✅
4. Navigate to website_assets and copy the extracted files as needed. 📁
5. Open the README_NOTES.txt inside website_assets for further guidance.

📂 Output

After execution, the script will create the following folder structure:

website_assets/
│-- index.html  # Extracted HTML file
│-- css/        # Folder containing CSS files
│-- js/         # Folder containing JS files
│-- README_NOTES.txt  # Simple Notepad text for guidance

📜 README_NOTES.txt Content

A simple text file will be created in website_assets/ with the following content:

🚀 Website Extractor Output 🚀

The extracted website files (HTML, CSS, JS) are saved in this folder.

Steps:
1️⃣ Copy the extracted files.
2️⃣ Paste them into your own project.
3️⃣ Modify as needed. 🎨

Happy coding! 😊

⚠️ Notes

• 🔍 This script does not download images or other assets (like fonts or videos) from the website.
• 🚨 Ensure that you have permission to scrape the target website before using this script.

💡 Credits

Developed with ❤️ by Lsky
📧 Email: mandujayaweera2003@gmail.com

📜 License

This project is licensed under the MIT License. 📝

✅ Happy coding! 🚀