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Web Scraping

This project has been developed to learn the ETL process using the website "https://books.toscrape.com".

I've developed three scripts that scrape in the following order: one book, all books from a chosen category, and all books from all categories. These books are then saved into a CSV file.

Prerequisites

Requests BeautifulSoup Urllib3

Installation

Clone the repository:

git clone https://github.com/PlantBasedStudio/WebScraping.git

Navigate to the project directory:

cd WebScraping

Create and activate a virtual environment (optional but recommended):

python3 -m venv venv source venv/bin/activate

Install the required dependencies using pip:

pip install -r requirements.txt

Usage

scrap_a_book: Scrapes a single book and generates a CSV file (change the URL to use it). scrap_a_category: Scrapes all books from a chosen category and generates a CSV file (change the URL to use it). scrap_all_books_per_category: Scrapes all books from the website and generates a CSV file per category.

Author

PlantBasedStudio : https://github.com/PlantBasedStudio