This n8n workflow automates the process of monitoring Twitter for specific keywords, generating strategic comments, replying to tweets, and logging all activities into Google Sheets. Initially triggered manually or on a schedule (every 4 hours), it searches Twitter for relevant posts using a specified keyword. The workflow then extracts a limited number of tweets, generates authentic and strategic comments with the help of an AI language model (Claude Sonnet 4), and posts these comments as replies on Twitter. Meanwhile, it organizes data by creating or updating daily Google Sheets, recording each tweet, the generated response, and associated keywords. This process is ideal for social media teams aiming to increase engagement, analyze social media sentiment, or maintain active brand presence without manual effort. By integrating Twitter, Google Sheets, and AI, it streamlines social media interaction and data tracking in one seamless automated system.
Automated Twitter Search, Commenting, and Logging Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatAnthropic, code, googleSheets, httpRequest, manualTrigger, merge, scheduleTrigger, set, splitInBatches, stickyNote, twitter, wait |
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