This n8n workflow automates the process of extracting, processing, and summarizing congressional trading activities from Quiver Quantitative. Scheduled to run daily, it uses Firecrawl’s API to retrieve notable trades exceeding $50,000 in the past month. The workflow sends a POST request to initiate the extraction, waits for the processing to complete, then retrieves the data with a GET request. Using OpenAI’s GPT-4 model, it formats the raw data into a readable summary that includes trade details and political affiliations. Finally, it emails this summary via Gmail, enabling investors, researchers, and media outlets to stay updated effortlessly. This automation streamlines manual data tracking and delivers timely insights about congressional financial activities.