This n8n workflow automates the process of syncing data from Google Sheets to a PostgreSQL database, with dynamic table creation and data insertion. It monitors specific Google Sheets files for updates, checks if a corresponding database table exists, and creates or replaces tables as needed. The workflow extracts sheet data, infers data types (including currency and date formats), and generates SQL queries to create tables and insert data. It also includes a language model component that can generate SQL queries from natural language questions, enhancing data interrogation capabilities. Practical use cases include maintaining a live database from cloud spreadsheets, automating data updates, and enabling natural language-based data queries for analysis.
Automated Google Sheets to PostgreSQL Data Sync Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.manualChatTrigger, @n8n/n8n-nodes-langchain.toolWorkflow, code, executeWorkflowTrigger, googleDriveTrigger, googleSheets, if, postgres, set, stickyNote |
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