This n8n workflow automates the process of fetching financial news from a website, extracting key content, summarizing it using AI, and emailing the summary for easy review. The workflow begins with a schedule trigger, which activates the workflow at set intervals. It then makes an HTTP request to retrieve the latest financial news from a specified website (e.g., the Financial Times). The content is filtered to extract headlines and highlights. This extracted data is passed to an AI-powered language model (Google Gemini Chat Model) via an AI agent node, which generates a concise summary. The summarized content is gathered and formatted—potentially with sticky notes or custom labels—and finally sent via email through Outlook, ensuring timely delivery of relevant financial insights. This workflow is useful for financial analysts, news curators, or busy professionals who want automated updates on market news without manual effort, improving efficiency and decision-making.
Automated Financial News Summarization and Email Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, html, httpRequest, microsoftOutlook, scheduleTrigger, set, stickyNote |
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