Automated AI-Enhanced Google Sheets Workflow for Data Enrichment

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This n8n workflow automates the process of generating, enriching, and updating data in Google Sheets using AI integration. It starts with a manual trigger and demonstrates core spreadsheet operations: reading existing rows, appending new data, and updating rows with AI-generated descriptions. The workflow is designed for scenarios where you automate data entry and enhancement, such as managing contact forms, feedback data, or content ideas.

The process begins with a sample row generation that mimics form submission, including fields like Name, Email, Topic, and Submission status. This new row is appended to a Google Sheet. Subsequently, the entire sheet is read to fetch existing entries. For each row, the workflow uses OpenAI’s GPT-4 to generate a detailed description based on the ‘Topic’ field. The AI output is parsed and structured into JSON. The enriched description updates the corresponding row in the spreadsheet by matching the email address.

This setup showcases how to automate data collection, processing with AI, and data updating within Google Sheets—practical for anyone looking to streamline data enrichment workflows or generate content dynamically based on user inputs.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, googleSheets, manualTrigger, set, stickyNote

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