This advanced n8n workflow streamlines the process of researching, summarizing, and generating detailed WordPress-ready reports from user-submitted search topics. Beginning with a form submission trigger, it dynamically generates five focused research subtopics using language models like Claude 3.5, then employs web scraping with Tavily to gather relevant data and sources. Each topic’s content is meticulously synthesized and formatted into professional, styled HTML reports through a series of aggregation, scripting, and structured content nodes. The workflow culminates in creating a comprehensive, styled report with source attribution, which can be effortlessly exported as a PDF or emailed directly to users. This automation empowers content creators, researchers, and educators to produce high-quality reports efficiently, saving time while enhancing content accuracy and presentation.
Automated Research Workflow Generates In-Depth WordPress Reports
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, formTrigger, gmail, googleSheets, html, httpRequest, limit, merge, set, splitOut, stickyNote, switch |
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