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README.md

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-# WebScrapping
-A Web Scrapping App made with Pyton using urllib and BeautifulSoup libraries
+# Web Scraping Tool
+
+This Python script allows you to scrape web pages for various types of content such as links, headers, paragraphs, and images. It uses the `BeautifulSoup` library to parse HTML and extract the desired data, which can then be saved to text files.
+
+## Features
+
+- **Input Validation**: Ensures the URL provided is valid.
+- **Exception Handling**: Catches errors during URL fetching.
+- **Extracting Other Tags**: Retrieves and prints other HTML elements like headers, paragraphs, and images.
+- **Exporting Data**: Saves the retrieved links and other extracted data to a file.
+- **Improved User Interface**: Provides a menu for the user to choose what to extract.
+
+## Prerequisites
+
+- Python 3.x
+- `BeautifulSoup` library
+- `urllib` module
+
+## Installation
+
+1. Clone this repository:
+    ```sh
+    git clone https://github.com/your-username/web-scraping-tool.git
+    cd web-scraping-tool
+    ```
+
+2. Install the required packages:
+    ```sh
+    pip install beautifulsoup4
+    ```
+
+## Usage
+
+1. Run the script:
+    ```sh
+    python web_scraping_tool.py
+    ```
+
+2. Enter the URL you want to scrape when prompted.
+
+3. Choose what type of content you want to extract by selecting the corresponding option:
+    - Links
+    - Headers
+    - Paragraphs
+    - Images
+    - Exit
+
+4. The extracted data will be printed on the screen and saved to a corresponding text file (`links.txt`, `headers.txt`, `paragraphs.txt`, or `images.txt`).
+
+## Example
+
+```sh
+Enter URL: https://www.example.com
+Choose what to extract:
+1. Links
+2. Headers
+3. Paragraphs
+4. Images
+5. Exit
+Enter your choice: 1
+
+Links:
+https://www.example.com/page1
+https://www.example.com/page2
+...
+Data saved to links.txt