This system demonstrates an end-to-end workflow for scraping Twitter/X data using a free template shared by Nate Herk. It leverages the Twitter API with advanced search parameters, dynamic pagination using cursors, and a looping mechanism to extract tweet details such as IDs, URLs, content, likes, views, and dates. The workflow utilizes HTTP request nodes, code nodes for data parsing, and Google Sheets for data storage, all orchestrated within an automated n8n environment.

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