Automated Data Collection and Pagination Handling in n8n

This n8n workflow demonstrates how to automate data collection from multiple sources with efficient pagination handling. It starts with user-triggered execution, making API requests to fetch data such as starred GitHub repositories, mock album data, and random Wikipedia pages. The workflow processes the fetched HTML content to extract specific information, like article titles, and manages pagination to ensure complete data retrieval across multiple pages. It includes steps like splitting data into manageable items, checking for completion, and incrementing page numbers to loop through paginated responses. This setup is practical for automating the retrieval of large data sets from APIs or web pages, making it ideal for data analysis, reporting, or web scraping tasks.