This project demonstrates my skills in web scraping using Python and Beautiful Soup to extract information about hospitals from a website. The extracted data includes details such as hospital names, addresses, contact information, and specializations. This README provides an overview of the project, the skills utilized, and how to set up and run the project.

Project Overview Skills Utilized Setup and Installation Usage Project Structure Example Output Contributing License Project Overview The goal of this project is to scrape hospital information from a specified website using Python and Beautiful Soup. The script navigates through the website, extracts relevant information, and stores it in a structured format for further analysis or use.

Web Scraping: Extracting data from web pages using Beautiful Soup.

Python Programming: Writing efficient and readable code to navigate and parse HTML content.

Data Cleaning: Handling missing values and ensuring data consistency.

Data Storage: Storing the scraped data in a structured format (CSV/JSON).

Error Handling: Implementing error handling to manage unexpected issues during the scraping process.

Clone the Repository

git clone https://github.com/yourusername/hospital-info-scraper.git cd hospital-info-scraper Create a Virtual Environment

python3 -m venv venv source venv/bin/activate # On Windows, use venv\Scripts\activate Install Dependencies

pip install -r requirements.txt

Contributions are welcome! If you would like to contribute to this project, please follow these steps:

Fork the repository. Create a new branch (git checkout -b feature/your-feature). Make your changes. Commit your changes (git commit -m 'Add your feature'). Push to the branch (git push origin feature/your-feature). Create a new Pull Request.

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