This n8n workflow automates the process of scraping, analyzing, and sharing geopolitical news related to Hezbollah and the Israel-Iran conflict. When manually triggered, users input a Reuters article URL, which is then scraped using an autonomous AI agent combined with Bright Data’s MCP Client tool to extract key information such as article title, authors, date, and content. The workflow employs an OpenAI GPT model to analyze and summarize the article, focusing on Hezbollah’s strategic shift and regional implications. The structured insights, including detailed summaries and trend highlights, are automatically emailed to the Trends team via Gmail, facilitating timely and informed decision-making. This workflow is ideal for geopolitical analysts, news monitoring services, or organizations needing automated, up-to-date intelligence on regional conflicts.
Automated News Scraping and Insight Distribution Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, gmail, manualTrigger, n8n-nodes-mcp.mcpClientTool, set, stickyNote |
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