Python Web Scraper: Books to Scrape

Introduction

[cite_start]This is a basic data scraper built in Python that automates the process of gathering information from websites[cite: 3, 4]. It specifically extracts book titles and prices from the "Books to Scrape" sandbox website.

Features

• [cite_start]User-Agent Headers: Simulates a real browser to prevent the server from blocking the request[cite: 100].
• [cite_start]Error Handling: Uses try-except blocks to manage connection issues gracefully[cite: 109, 110].
• [cite_start]Data Validation: Includes safety checks for HTML tags and HTTP status codes[cite: 103, 106].
• [cite_start]Data Export: Saves the final results into a structured .csv file for easy analysis[cite: 52].

Prerequisites

To run this script, you will need:

• [cite_start]Python 3.x [cite: 9]
• requests
• beautifulsoup4
• pandas

Installation

1. Clone this repository or download the files.
2. Create a virtual environment:

   python -m venv venv