This n8n workflow automates the process of monitoring social media and content platforms to identify relevant posts, generate engaging responses, and organize data for analysis. It begins with a form trigger to collect inputs, then splits the incoming data, filters content based on relevance criteria, and removes duplicates. The workflow interacts with multiple AI language models to assess relevance, generate comments, and structure outputs. It further analyzes YouTube keywords, fetches Reddit posts, and creates formatted email reports. Additional steps include storing humanized comments in Google Sheets and sending email summaries. This automation is useful for social media managers, content creators, or marketing teams aiming to streamline content engagement, ensure relevance, and maintain an organized data repository.
Automated Content Curation and Engagement Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, code, formTrigger, gmail, googleSheets, if, reddit, removeDuplicates, set, splitInBatches, splitOut, stickyNote, wait, youTube |
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