This n8n workflow automates the process of fetching financial news from a specified online source, analyzing the information with AI language models, and sending a summarized report via email. The workflow starts with a scheduled trigger to run at predefined intervals, then retrieves content from the financial news website using an HTTP request. The data is processed and organized through various nodes, including an AI agent and language models powered by Google Gemini, to generate insights or summaries. The analyzed content is aggregated, formatted, and finally emailed to recipients, providing a streamlined way to stay updated with the latest financial news. This workflow is particularly useful for financial analysts, news aggregators, or organizations that need timely, AI-driven news summaries automatically delivered to their inbox.
Automated Financial News Summary and Email Report
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserItemList, aggregate, code, httpRequest, manualTrigger, microsoftOutlook, scheduleTrigger, set, splitInBatches, stickyNote |
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