The guide compares Scrapy and Requests, two Python tools used for web scraping, highlighting their differences, advantages, and limitations. Requests is a Python library that facilitates HTTP requests and is typically used with HTML parsing libraries like BeautifulSoup for simple scraping tasks, offering support for HTTP methods, session management, and proxy support. On the other hand, Scrapy is an open-source web scraping framework designed for large-scale and complex projects, providing built-in asynchronous requests, automatic crawling, data extraction using XPath and CSS selectors, and middleware for customization. While Requests requires more manual implementation for tasks like crawling and error handling, Scrapy offers more integrated features such as automatic throttling and proxy rotation. Despite their individual strengths, both tools face common challenges like IP bans, which can be mitigated using proxies. The guide further illustrates their application in a pagination scenario, demonstrating how Scrapy's structured approach simplifies the process compared to the more flexible but manual approach required with Requests.