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:

   git clone https://github.com/your-username/web-scraping-tool.git
   cd web-scraping-tool

2. Install the required packages:

   pip install beautifulsoup4

Usage

1. Run the script:

   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

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