This n8n workflow automates the process of monitoring Twitter for new tweets from followed accounts, analyzing these tweets using AI, and notifying via Telegram about significant insights. It starts with a schedule trigger to run at set intervals, fetching configuration details from a PostgreSQL database. The workflow retrieves recent tweets via an RSS feed from RSSHub, filters only new tweets based on the last update timestamp, and processes each new tweet through an AI analysis node using Google Gemini. The AI response is parsed to extract structured insights, which are then filtered by importance level. If a tweet meets the criteria, a detailed message including keywords and the original link is sent to a Telegram chat, keeping users informed of relevant Twitter activity without manual effort.
Automated Twitter Monitoring and Insights with AI
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.googleGemini, code, filter, if, postgres, rssFeedRead, scheduleTrigger, stickyNote, telegram |
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