Simple Web Scraping Tool

This project is a simple Python-based web scraping tool that extracts information from web pages. It utilizes the requests library to send HTTP requests and the BeautifulSoup library to parse HTML content and extract data.

Features

• Scrape Web Pages: Extract information from web pages by providing the URL.
• Flexible Data Extraction: Customize data extraction logic based on HTML structure.
• Error Handling: Handle errors gracefully during the scraping process.

Installation

1. Clone the repository:

   git clone https://github.com/your_username/web-scraping-tool.git

2. Navigate to the project directory:

   cd web-scraping-tool

3. Install dependencies:

   pip install requests beautifulsoup4

Usage

1. Initialize the WebScraper with the URL of the web page you want to scrape:

   url = "https://example.com"
   scraper = WebScraper(url)

2. Use the scrape() method to extract information from the web page:

   scraped_data = scraper.scrape()

3. Process and use the scraped data as needed.

Contributing

Contributions are welcome! If you have any suggestions, feature requests, or find any issues, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.