This n8n workflow automates social media interactions on Instagram using a combination of triggers, AI agents, and HTTP requests. It listens for chat messages, processes the content with a language model, and performs actions such as retrieving media details, searching and replying to comments, and sending direct messages. The workflow leverages LangChain nodes for AI-powered automation, suitable for managing engagement and moderation tasks efficiently on Instagram. Practical use cases include automating comment responses, media moderation, and direct messaging to enhance social media management workflows.
Automated Instagram Engagement via n8n and LangChain
Node Count | 11 – 20 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.mcpClientTool, @n8n/n8n-nodes-langchain.mcpTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, set, stickyNote |
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