Python

This comprehensive guide will teach you how to scrape Amazon product data using Python. Whether you’re an eCommerce professional, researcher, or developer, you’ll learn to create a solution to extract valuable insights from Amazon’s marketplace. By following this guide, you’ll acquire practical knowledge on setting up your scraping environment, overcoming common challenges, and efficiently collecting the needed data.

There’s no reliable Python application that doesn’t have a built-in failed HTTP request handling. You could be fetching API data, scraping websites, or interacting with web services, but unexpected failures like timeouts, connection issues, or server errors can disrupt your workflow at any time. This blog post explores strategies to manage these failures using Python’s requests library, including retry logic, best practices, and techniques like integrating proxies or custom retry mechanisms.

Business success is driven by data, and few data sources are as valuable as Google’s Search Engine Results Page (SERP). Collecting this data can be complex, but various tools and automation techniques make it easier. This guide explores practical ways to scrape Google search results, highlights the benefits of such efforts, and addresses common challenges.

With all the buzz about AI taking over our jobs, why not flip the script and employ AI to help you write efficient code and boost your productivity instead? In 2025, the best AI tools for coding are designed to be your new sidekick, helping you code smarter, faster, and with less stress. Let's explore how you can make AI work for you before the inevitable machine world domination.