This project demonstrates the implementation of a Book Scraper web application using Flask and BeautifulSoup to scrape, filter, and display book data from a fictional website.

• app.py: Contains the main Flask application setup, routes, and business logic.
• templates/: Holds the HTML templates for rendering the search form and displaying search results.

• Flask: A lightweight WSGI (Web Server Gateway Interface) web application framework used to build the web server.
• BeautifulSoup: A library for parsing HTML and XML documents, used extensively in this project for web scraping.
• Python: The primary programming language for the project.
• Requests: A Python HTTP library used to make requests to the target website for web scraping.
• CSV: Python's built-in library for handling CSV file operations.

• Python 3.x: Ensure you have Python installed, as it's required to run the Flask application and perform web scraping.
• pip: Python's package installer, needed to install dependencies.

1. Clone the repository:

   git clone https://github.com/ahmadrafidev/books-scraper.git
   

2. Navigate to the project directory:

   cd books-scraper
   

3. Set up a virtual environment (optional but recommended):

   python -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`
   

4. Install the required Python packages:

   pip install Flask requests beautifulsoup4
   

5. Run the Flask application:

   flask run
   

The above steps will set up the environment and start the Flask server, making the application accessible from a web browser at the default address http://127.0.0.1:5000/.

Have fun!