Google Sheets

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Quick Overview

Google Sheets integration enables your AI agents to act as spreadsheet assistants and data processors. Create, update, and manage spreadsheet data automatically with both triggers and actions for complete data workflow automation. Key benefits of Google Sheets integration:

• Data management – 25 actions for complete spreadsheet control
• Real-time data monitoring – 4 triggers for instant workflow activation
• Stateful tool support – Advanced row-based workflows with data persistence
• Dynamic field loading – Automatic spreadsheet and column discovery

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How to set up Google Sheets

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Google Sheets Triggers

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New Row Added

Triggers when a new row is added to the bottom of a sheet:

• Real-time processing - Near real-time activation (up to 2-minute delay possible)
• Stateful object creation - Creates googleSheetsRow object containing all row data
• Dynamic configuration - Spreadsheet ID/URL with optional sheet title selection

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New Comment

Triggers when someone adds a comment to any cell in the spreadsheet:

• Collaboration monitoring - Track team feedback and communication
• Configurable polling - Push notification renewal schedule in seconds
• Drive scope selection - My Drive or Shared Drive targeting

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New Updates

Triggers when any cell content is modified in specified worksheets:

• Granular monitoring - Specific worksheet targeting for focused tracking
• Change detection - Monitors all cell content modifications
• Audit capabilities - Track data changes with user information

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New Worksheet

Triggers when a new worksheet/tab is created within a spreadsheet:

• Structure monitoring - Detect new worksheet creation instantly
• Template automation - Auto-format and initialize new sheets
• Project phase tracking - Monitor workflow progression through new tabs

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Google Sheets Actions

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Append Row

Adds a new row to the bottom of a spreadsheet:

• Dynamic field generation - Automatically creates inputs based on spreadsheet headers
• Real-time data entry - Immediate row creation with full data validation
• Stateful output - Returns created row data for downstream processing

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Append Rows

Adds multiple rows in a single operation:

• Bulk processing - Handle arrays of data efficiently
• Performance optimization - Single API call for multiple rows
• Batch validation - Process multiple records with consistent structure

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Update Row

Modifies existing row data or creates new row if not found:

• Intelligent lookup - Uses specified column for row identification
• Upsert behavior - Can append new row if no matching row exists
• Data integrity - Maintains relationships while updating records

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Get Spreadsheet

Retrieves all rows from a spreadsheet:

• Complete dataset access - Returns full spreadsheet as array of arrays
• Bulk data processing - Handle entire datasets for analysis
• Structured output - Organized data ready for downstream processing

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Find Row

Searches for rows matching specific criteria:

• Precise lookup - Configurable lookup column and search value
• Smart output - Returns matching row data and row number (-1 if not found)
• Data validation - Verify record existence before processing

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Get Cell

Retrieves value from a specific cell:

• Precise targeting - Cell reference in A1 notation
• Status monitoring - Check specific values like counters or flags
• Configuration data - Access settings stored in specific cells

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Create Spreadsheet

Creates a new Google Sheets file:

• Dynamic initialization - Set title, initial sheets with headers and data
• Template creation - At least one sheet required for structure
• Full output - Returns spreadsheet ID, URL, first sheet ID

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Create Worksheet

Adds a new worksheet/tab to existing spreadsheet:

• Structure expansion - Add new tabs for data segmentation
• Custom configuration - Worksheet name, dimensions, formatting options
• Organization tools - Create monthly reports, project phases

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Delete Row

Removes a row matching specific lookup criteria:

• Safe deletion - Lookup column and value matching for precision
• Status feedback - Returns success/failure status for error handling
• Data cleanup - Remove completed items, archived records

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Clear Cell

Removes content from a specific cell while preserving formatting:

• Selective clearing - Content removal without structure loss
• Format preservation - Maintains cell formatting and styling
• Precise control - Target specific cells for content reset

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Example data processing workflow

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Practical Implementation Scenarios

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Best Practices

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Next steps