The article explores three methods for implementing loops within n8n workflows, specifically for web scraping tasks that require paging support. It provides an in-depth explanation of how looping can be leveraged to efficiently handle repetitive processes by reusing a set of nodes multiple times with varying input data. The first approach involves manually maintaining loop data using Set nodes, while the second utilizes workflow static data for storing pagination information, reducing the need to pass values around unnecessarily. The third and most streamlined method takes advantage of n8n's internal run index to track iterations, simplifying the workflow by eliminating additional nodes for page counting. Each method is demonstrated through a practical example of scraping data from a paginated web page, with a focus on n8n's flexibility and efficiency in automating repetitive tasks. The post also highlights some advanced n8n techniques and internals that can enhance users' automation capabilities.