Latenode
Google sheets
OpenAI GPT Assistants

Natural language-powered Google Sheets data exploration

This automation allows users to interact with and query data stored in Google Sheets using natural language processing. Users can ask questions about the data, generate summaries, and perform text-based analysis directly within the spreadsheet environment.

The workflow uses a conversational interface powered by a large language model (LLM) like GPT-4 to understand user requests, fetch the relevant data from the Google Sheet, and provide responses. This integration between spreadsheets and natural language processing enables users to more easily extract insights from their data without having to manually navigate the spreadsheet interface.

Updated Apr 6, 2026Est. run: 26sEst. cost: $0.0703
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Data, spreadsheets & databases

Workflow preview

What this template does

  • Enables users to query spreadsheet data using natural language
  • Retrieves relevant data from Google Sheets based on user requests
  • Generates summaries and performs text-based analysis on spreadsheet data
  • Integrates large language model (LLM) technology with spreadsheet environment
  • Facilitates easier data insights extraction without manual spreadsheet navigation

How it works

1
Trigger

Set Google Sheets URL

The user provides the URL of the Google Sheet that they want to interact with using natural language processing.

2
Action

Fetch Google Sheet Data

The system retrieves the contents of the specified Google Sheet, including the data and column names.

3
Logic

Check Operation Type

The system determines whether the user's request is for retrieving column names, column values, or data for a specific row.

4
Action

Get Column Names

If the user requests column names, the system fetches the column names from the Google Sheet.

5
Action

Get Column Values

If the user requests column values, the system fetches the values for a specific column from the Google Sheet.

6
Action

Get Row Data

If the user requests data for a specific row, the system fetches the data for that row from the Google Sheet.

7
AI

Process Request with GPT-4

The system uses the GPT-4 language model to understand the user's natural language request and generate a response based on the data from the Google Sheet.

8
Action

Prepare Response

The system formats the data from the Google Sheet into a response that is presented to the user.

Setup guide

1

Add Google Sheets Credential

1. In the Latenode Credentials panel, add a new credential for Google Sheets. 2. Authenticate with your Google account and grant the necessary permissions to access your Google Sheets data.

2

Configure OpenAI GPT-4 Credential

1. In the Latenode Credentials panel, add a new credential for OpenAI. 2. Provide your OpenAI API key to authenticate and enable the use of the GPT-4 language model.

3

Add Google Sheets Input Node

1. In the Latenode visual builder, add a Google Sheets node. 2. Configure the node to connect to the Google Sheets credential you created earlier. 3. Specify the spreadsheet URL and sheet name that contain the data you want to interact with.

4

Add OpenAI GPT-4 Node

1. In the Latenode visual builder, add an OpenAI GPT-4 node. 2. Connect the node to the Google Sheets node to access the spreadsheet data. 3. Configure the node to use the OpenAI credential you created earlier.

5

Map Input and Output Fields

1. In the Latenode visual builder, map the input and output fields between the Google Sheets node and the OpenAI GPT-4 node. 2. Ensure the necessary data from the spreadsheet is available to the language model for processing user requests. 3. Configure the output mapping to return the responses from the language model back to the user.

Requirements

A Google Sheets account and access to the specific Google Sheet containing the data to be queried
An OpenAI API key to enable the use of the large language model (LLM) for natural language processing
Permissions within the Google Sheets workspace to read and write data within the specified spreadsheet
Optional: A Latenode workspace with the necessary JavaScript and headless browser nodes if the workflow requires direct browser interaction with the Google Sheet

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

More templates

You might also like

Browse all templates →
Data, spreadsheets & databases

Automatically sync Notion items to new Google Docs documents

This automation allows users to automatically create a new Google Docs document whenever a new item is added to a Notion database. It streamlines the process of transferring data from Notion to Google Docs, making it easier for teams to collaborate on documents and reports. The automation triggers when a new item is added to the specified Notion database, and it then creates a corresponding Google Docs document with the relevant information. This integration between Notion and Google Docs helps users to centralize their data and workflows, improving productivity and efficiency.

26s$0.0703
Data, spreadsheets & databases

Automatically generate customized Google Docs from new form data

This automation allows users to create a new Google Doc based on a predefined template, using data from a new submission in a linked Google Form. Whenever a new row is added to the associated Google Sheets spreadsheet, the automation will trigger and generate a personalized document using the form data. This streamlines the process of creating documents from structured data, making it more efficient for individuals or teams working with Google's productivity suite. The primary systems involved are Google Forms, Google Sheets, and Google Docs.

26s$0.0703
Data, spreadsheets & databases

Automatically notify via Burst SMS when new rows added to Google Sheets

This Latenode automation allows users to stay focused on their primary workflows by automatically sending SMS messages through the Burst SMS platform whenever a new row is added to a specified Google Sheets spreadsheet. It connects the Google Sheets data source to the Burst SMS service, streamlining the notification process. Users can configure the specific spreadsheet and mobile number to receive the SMS updates, helping them stay informed without getting distracted from their main tasks.

7s$0.0004