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Google Sheets Write

Write and update data in Google Sheets programmatically

Node Type

Action

Category

Google Sheets Integration

Icon

Google Sheets

Overview

The Google Sheets Write node allows you to write, update, and append data to Google Sheets programmatically. This powerful automation tool integrates with Google Sheets API to provide intelligent data management capabilities for your workflows.

Key Features

  • • Flexible Data Writing: Write to specific ranges, append rows, or update cells
  • • Batch Operations: Handle multiple updates efficiently
  • • Data Validation: Ensure data integrity before writing
  • • Real-time Updates: Changes appear instantly in your sheets
  • • Error Handling: Built-in success/failure tracking

Prerequisites

Google Integration

Must be connected to access Google Sheets API

Google account connected
Google Sheets write scope granted
Write access to target Google Sheets

Required Scopes

https://www.googleapis.com/auth/spreadsheets
https://www.googleapis.com/auth/drive.file

Node Configuration

Required Fields

spreadsheetId

Type:text
Required:Yes
Example:"1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"

The unique identifier of the Google Spreadsheet (found in the URL).

range

Type:text
Required:Yes
Example:"Sheet1!A1"

The range to write to (e.g., "Sheet1!A1" for a single cell or "Sheet1!A1:D10" for a range).

values

Type:array
Required:Yes
Example:[["John", "Doe", "[email protected]"]]

The data to write. Use 2D array format: [[row1], [row2], ...] for multiple rows.

Optional Fields

valueInputOption

Type:dropdown
Required:No
Options:"RAW", "USER_ENTERED"

How to interpret the input data. "RAW" writes as-is, "USER_ENTERED" processes formulas and formatting.

insertDataOption

Type:dropdown
Required:No
Options:"INSERT_ROWS", "OVERWRITE"

Whether to insert new rows or overwrite existing data. Defaults to "OVERWRITE".

Examples & Use Cases

Basic Data Writing

Write a single row of data to a spreadsheet

{
  "spreadsheetId": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
  "range": "Sheet1!A1",
  "values": [["John Doe", "[email protected]", "Active"]],
  "valueInputOption": "USER_ENTERED"
}

Writes a single row with name, email, and status to the first row of Sheet1.

Appending Multiple Rows

Add multiple rows of data to the end of a sheet

{
  "spreadsheetId": "{{workflowData.sheetId}}",
  "range": "DataSheet!A:A",
  "values": [
    ["Alice", "[email protected]", "Premium"],
    ["Bob", "[email protected]", "Standard"],
    ["Charlie", "[email protected]", "Premium"]
  ],
  "insertDataOption": "INSERT_ROWS"
}

Appends three new rows to the DataSheet, inserting them as new rows.

Updating Specific Range

Update a specific range of cells with new data

{
  "spreadsheetId": "{{config.sheetId}}",
  "range": "Config!B2:D5",
  "values": [
    ["Value1", "Value2", "Value3"],
    ["Value4", "Value5", "Value6"],
    ["Value7", "Value8", "Value9"],
    ["Value10", "Value11", "Value12"]
  ],
  "valueInputOption": "RAW"
}

Updates a 3x4 range starting at B2 with new values, writing raw data without processing.

Workflow Examples

Data Collection Pipeline

Complete workflow for collecting and storing data

Workflow Structure

📝 Form Submission → 🔍 Data Validation → 📊 Google Sheets Write → 📱 Confirmation

Step-by-Step Configuration

  1. Form Submission: Collect data from users or systems
  2. Data Validation: Validate and clean the input data
  3. Google Sheets Write: Store the validated data
  4. Confirmation: Send confirmation to users

Report Generation

Generate and store automated reports

Use Case

Automatically generate reports from various data sources, process them with AI, and store the results in Google Sheets for team access.

Implementation

  • Collect data from multiple sources (APIs, databases, etc.)
  • Process and analyze data with AI or business logic
  • Format results into structured reports
  • Write reports to designated Google Sheets

Best Practices

Do's

  • • Validate data before writing to sheets
  • • Use meaningful range names and sheet references
  • • Implement error handling for write failures
  • • Consider data size and API rate limits
  • • Always check the success output field
  • • Use appropriate value input options for your data

Don'ts

  • • Don't write to sheets without proper permissions
  • • Avoid overwriting important data without backup
  • • Don't ignore API rate limits
  • • Avoid writing large datasets in single operations
  • • Don't assume write operations always succeed
  • • Avoid writing sensitive data without encryption
💡
Pro Tip: Use the "INSERT_ROWS" option when you want to add new data without overwriting existing information. This is especially useful for maintaining historical data in your sheets.

Troubleshooting

Common Issues

Permission Denied

Symptoms: Node fails with access denied errors

Solution: Ensure Google integration has write access to the target spreadsheet

Invalid Range

Symptoms: Node fails with range not found errors

Solution: Verify the sheet name and range format (e.g., "Sheet1!A1")

Data Format Issues

Symptoms: Data appears incorrectly in sheets

Solution: Check the values array format and use appropriate valueInputOption

Related Resources