This n8n workflow enables users to automatically discover and analyze trending YouTube videos through AI-driven insights. It is designed for content creators, marketers, and researchers who want to stay ahead of trends by receiving real-time analysis and summaries of popular topics. When a chat message is received, the workflow is triggered, initiating a sequence of nodes that gather trending video data from YouTube using a dedicated search workflow. The retrieved data is then processed by an OpenAI language model, which analyzes the topics, identifies common themes, and generates actionable insights. The process also includes a memory buffer for context retention, ensuring more coherent and relevant responses over time. The final output is a concise trend report, delivered instantly via chat, that highlights trending themes, engagement metrics, and how to leverage these trends for optimal content creation. This workflow is ideal for YouTube creators seeking fresh ideas, digital marketers tracking viral content, and social media managers monitoring trend shifts in real time.
AI-Powered YouTube Trend Analysis Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, stickyNote |
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