Efficient Data Collection and Pagination Handling in n8n

This n8n workflow demonstrates how to efficiently manage data collection from multiple sources using API requests and pagination handling. It begins with a manual trigger to initiate the process, making HTTP requests to fetch data from APIs, such as GitHub starred repositories and a placeholder API for albums, as well as retrieving a random Wikipedia page. The workflow then shows how to split complex responses into manageable items, extract specific data like article titles using HTML extraction, and handle pagination to iterate through multiple pages of data. The process loop continues until all data is fetched, with conditional checks to determine when to stop inserting new requests. Practical applications include aggregating data from web services, automating content scraping, and managing large datasets efficiently in WordPress or other systems. This workflow is ideal for developers and marketers looking to automate data crawling, content management, and API integrations seamlessly.