This n8n workflow helps users analyze their browsing history stored in Google Sheets to identify automation opportunities. Triggered manually, it retrieves browsing data, groups entries by domain, filters out non-actionable sites, and employs an AI agent to assess whether automation is feasible for each domain. The AI provides detailed suggestions on what tasks can be automated, how to do it, and the associated benefits, then saves these recommendations into a dedicated sheet. The workflow also searches for relevant n8n workflow templates to assist in implementation. This setup is ideal for productivity enthusiasts and automation strategists looking to optimize repetitive web tasks and increase efficiency through smart automation planning.
AI-Powered Browsing History Automation Analyzer
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryBufferWindow, code, filter, googleSheets, googleSheetsTool, httpRequestTool, manualTrigger, splitInBatches, stickyNote |
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