Google Sheets Integration

Overview

Enable your agents to manage spreadsheet data through Google Sheets. Read rows, create new entries, update existing data, and streamline your data management workflows with AI-powered automation. Perfect for data tracking, reporting, and collaborative data management.

Prerequisites

Before using the Google Sheets integration, ensure you have:

A CrewAI AMP account with an active subscription
A Google account with Google Sheets access
Connected your Google account through the Integrations page
Spreadsheets with proper column headers for data operations

Setting Up Google Sheets Integration

1. Connect Your Google Account

Navigate to CrewAI AMP Integrations
Find Google Sheets in the Authentication Integrations section
Click Connect and complete the OAuth flow
Grant the necessary permissions for spreadsheet access
Copy your Enterprise Token from Integration Settings

2. Install Required Package

uv add crewai-tools

3. Environment Variable Setup

To use integrations with Agent(apps=[]), you must set the CREWAI_PLATFORM_INTEGRATION_TOKEN environment variable with your Enterprise Token.

export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"

Or add it to your .env file:

CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token

Available Actions

google_sheets/get_spreadsheet

Description: Retrieve properties and data of a spreadsheet.Parameters:

spreadsheetId (string, required): The ID of the spreadsheet to retrieve.
ranges (array, optional): The ranges to retrieve from the spreadsheet.
includeGridData (boolean, optional): True if grid data should be returned. Default: false
fields (string, optional): The fields to include in the response. Use this to improve performance by only returning needed data.

google_sheets/get_values

Description: Returns a range of values from a spreadsheet.Parameters:

spreadsheetId (string, required): The ID of the spreadsheet to retrieve data from.
range (string, required): The A1 notation or R1C1 notation of the range to retrieve values from.
valueRenderOption (string, optional): How values should be represented in the output. Options: FORMATTED_VALUE, UNFORMATTED_VALUE, FORMULA. Default: FORMATTED_VALUE
dateTimeRenderOption (string, optional): How dates, times, and durations should be represented in the output. Options: SERIAL_NUMBER, FORMATTED_STRING. Default: SERIAL_NUMBER
majorDimension (string, optional): The major dimension that results should use. Options: ROWS, COLUMNS. Default: ROWS

google_sheets/update_values

Description: Sets values in a range of a spreadsheet.Parameters:

spreadsheetId (string, required): The ID of the spreadsheet to update.
range (string, required): The A1 notation of the range to update.

values (array, required): The data to be written. Each array represents a row.

[
  ["Value1", "Value2", "Value3"],
  ["Value4", "Value5", "Value6"]
]

valueInputOption (string, optional): How the input data should be interpreted. Options: RAW, USER_ENTERED. Default: USER_ENTERED

google_sheets/append_values

Description: Appends values to a spreadsheet.Parameters:

spreadsheetId (string, required): The ID of the spreadsheet to update.
range (string, required): The A1 notation of a range to search for a logical table of data.

values (array, required): The data to append. Each array represents a row.

[
  ["Value1", "Value2", "Value3"],
  ["Value4", "Value5", "Value6"]
]

valueInputOption (string, optional): How the input data should be interpreted. Options: RAW, USER_ENTERED. Default: USER_ENTERED
insertDataOption (string, optional): How the input data should be inserted. Options: OVERWRITE, INSERT_ROWS. Default: INSERT_ROWS

google_sheets/create_spreadsheet

Description: Creates a new spreadsheet.Parameters:

title (string, required): The title of the new spreadsheet.

sheets (array, optional): The sheets that are part of the spreadsheet.

[
  {
    "properties": {
      "title": "Sheet1"
    }
  }
]

Usage Examples

Basic Google Sheets Agent Setup

from crewai import Agent, Task, Crew

# Create an agent with Google Sheets capabilities
sheets_agent = Agent(
    role="Data Manager",
    goal="Manage spreadsheet data and track information efficiently",
    backstory="An AI assistant specialized in data management and spreadsheet operations.",
    apps=['google_sheets']
)

# Task to add new data to a spreadsheet
data_entry_task = Task(
    description="Add a new customer record to the customer database spreadsheet with name, email, and signup date",
    agent=sheets_agent,
    expected_output="New customer record added successfully to the spreadsheet"
)

# Run the task
crew = Crew(
    agents=[sheets_agent],
    tasks=[data_entry_task]
)

crew.kickoff()

Filtering Specific Google Sheets Tools

from crewai import Agent, Task, Crew

# Create agent with specific Google Sheets actions only
data_collector = Agent(
    role="Data Collector",
    goal="Collect and organize data in spreadsheets",
    backstory="An AI assistant that focuses on data collection and organization.",
    apps=[
        'google_sheets/get_values',
        'google_sheets/update_values'
    ]
)

# Task to collect and organize data
data_collection = Task(
    description="Retrieve current inventory data and add new product entries to the inventory spreadsheet",
    agent=data_collector,
    expected_output="Inventory data retrieved and new products added successfully"
)

crew = Crew(
    agents=[data_collector],
    tasks=[data_collection]
)

crew.kickoff()

Data Analysis and Reporting

from crewai import Agent, Task, Crew

data_analyst = Agent(
    role="Data Analyst",
    goal="Analyze spreadsheet data and generate insights",
    backstory="An experienced data analyst who extracts insights from spreadsheet data.",
    apps=['google_sheets']
)

# Task to analyze data and create reports
analysis_task = Task(
    description="""
    1. Retrieve all sales data from the current month's spreadsheet
    2. Analyze the data for trends and patterns
    3. Create a summary report in a new row with key metrics
    """,
    agent=data_analyst,
    expected_output="Sales data analyzed and summary report created with key insights"
)

crew = Crew(
    agents=[data_analyst],
    tasks=[analysis_task]
)

crew.kickoff()

Spreadsheet Creation and Management

from crewai import Agent, Task, Crew

spreadsheet_manager = Agent(
    role="Spreadsheet Manager",
    goal="Create and manage spreadsheets efficiently",
    backstory="An AI assistant that specializes in creating and organizing spreadsheets.",
    apps=['google_sheets']
)

# Task to create and set up new spreadsheets
setup_task = Task(
    description="""
    1. Create a new spreadsheet for quarterly reports
    2. Set up proper headers and structure
    3. Add initial data and formatting
    """,
    agent=spreadsheet_manager,
    expected_output="New quarterly report spreadsheet created and properly structured"
)

crew = Crew(
    agents=[spreadsheet_manager],
    tasks=[setup_task]
)

crew.kickoff()

Automated Data Updates

from crewai import Agent, Task, Crew

data_updater = Agent(
    role="Data Updater",
    goal="Automatically update and maintain spreadsheet data",
    backstory="An AI assistant that maintains data accuracy and updates records automatically.",
    apps=['google_sheets']
)

# Task to update data based on conditions
update_task = Task(
    description="""
    1. Get spreadsheet properties and structure
    2. Read current data from specific ranges
    3. Update values in target ranges with new data
    4. Append new records to the bottom of the sheet
    """,
    agent=data_updater,
    expected_output="Spreadsheet data updated successfully with new values and records"
)

crew = Crew(
    agents=[data_updater],
    tasks=[update_task]
)

crew.kickoff()

Complex Data Management Workflow

from crewai import Agent, Task, Crew

workflow_manager = Agent(
    role="Data Workflow Manager",
    goal="Manage complex data workflows across multiple spreadsheets",
    backstory="An AI assistant that orchestrates complex data operations across multiple spreadsheets.",
    apps=['google_sheets']
)

# Complex workflow task
workflow_task = Task(
    description="""
    1. Get all customer data from the main customer spreadsheet
    2. Create a new monthly summary spreadsheet
    3. Append summary data to the new spreadsheet
    4. Update customer status based on activity metrics
    5. Generate reports with proper formatting
    """,
    agent=workflow_manager,
    expected_output="Monthly customer workflow completed with new spreadsheet and updated data"
)

crew = Crew(
    agents=[workflow_manager],
    tasks=[workflow_task]
)

crew.kickoff()

Troubleshooting

Common Issues

Permission Errors

Ensure your Google account has edit access to the target spreadsheets
Verify that the OAuth connection includes required scopes for Google Sheets API
Check that spreadsheets are shared with the authenticated account

Spreadsheet Structure Issues

Ensure worksheets have proper column headers before creating or updating rows
Verify that range notation (A1 format) is correct for the target cells
Check that the specified spreadsheet ID exists and is accessible

Data Type and Format Issues

Ensure data values match the expected format for each column
Use proper date formats for date columns (ISO format recommended)
Verify that numeric values are properly formatted for number columns

Range and Cell Reference Issues

Use proper A1 notation for ranges (e.g., “A1:C10”, “Sheet1!A1:B5”)
Ensure range references don’t exceed the actual spreadsheet dimensions
Verify that sheet names in range references match actual sheet names

Value Input and Rendering Options

Choose appropriate valueInputOption (RAW vs USER_ENTERED) for your data
Select proper valueRenderOption based on how you want data formatted
Consider dateTimeRenderOption for consistent date/time handling

Spreadsheet Creation Issues

Ensure spreadsheet titles are unique and follow naming conventions
Verify that sheet properties are properly structured when creating sheets
Check that you have permissions to create new spreadsheets in your account

Getting Help

Need Help?

Contact our support team for assistance with Google Sheets integration setup or troubleshooting.

​Overview

​Prerequisites

​Setting Up Google Sheets Integration

​1. Connect Your Google Account

​2. Install Required Package

​3. Environment Variable Setup

​Available Actions

​Usage Examples

​Basic Google Sheets Agent Setup

​Filtering Specific Google Sheets Tools

​Data Analysis and Reporting

​Spreadsheet Creation and Management

​Automated Data Updates

​Complex Data Management Workflow

​Troubleshooting

​Common Issues

​Getting Help

Need Help?

Overview

Prerequisites

Setting Up Google Sheets Integration

1. Connect Your Google Account

2. Install Required Package

3. Environment Variable Setup

Available Actions

Usage Examples

Basic Google Sheets Agent Setup

Filtering Specific Google Sheets Tools

Data Analysis and Reporting

Spreadsheet Creation and Management

Automated Data Updates

Complex Data Management Workflow

Troubleshooting

Common Issues

Getting Help