Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →Query Google Sheets Data through ODBC in Node.js
Use node-odbc to execute SQL queries against Google Sheets data from Node.js.
Node.js is a JavaScript runtime environment that allows you to run JavaScript code outside of a browser. With the CData ODBC Driver for Google Spreadsheets, you can access live Google Sheets data from Node.js apps and scripts. In this article, we walk through installing node-odbc and the required tools to create a simple Node.js app with access to live Google Sheets data.
With built-in optimized data processing, the CData ODBC Driver offers unmatched performance for interacting with live Google Sheets data in Node.js. When you issue complex SQL queries from Node.js to Google Sheets, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Sheets and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Connecting to Google Sheets Data
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
You can connect to a spreadsheet by providing authentication to Google and then setting the Spreadsheet connection property to the name or feed link of the spreadsheet. If you want to view a list of information about the spreadsheets in your Google Drive, execute a query to the Spreadsheets view after you authenticate.
ClientLogin (username/password authentication) has been officially deprecated since April 20, 2012 and is now no longer available. Instead, use the OAuth 2.0 authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.
See the Getting Started chapter in the help documentation to connect to Google Sheets from different types of accounts: Google accounts, Google Apps accounts, and accounts using two-step verification.
Building node-odbc
In order to connect to Google Sheets through the CData ODBC Driver, you need to build node-odbc manually (after installing the required tools).
Installing the Required Tools
The following commands install the tools required to build node-odbc (note the -g parameter, which installs the tools globally).
npm i -g windows-build-tools npm i -g node-gyp
Building node-odbc
After installing the required tools, create a directory for the Node.js app and install odbc (which builds the binary for us to use in our Node.js script).
mkdir nodeodbc cd nodeodbc npm i -g node
Querying Google Sheets from Node.js
With the ODBC Driver installed, a DSN Configured, and node-odbc built, we are ready to query live Google Sheets data from a Node.js app. The sample code below connects to a specific DSN and queries the Orders table.
myscript.js
const odbc = require('odbc'); async function queryGoogleSheets() { const connection = await odbc.connect(`DSN=CData GoogleSheets Source`); const data = await connection.query('SELECT Shipcountry, OrderPrice FROM Orders'); console.log(data); } queryGoogleSheets();
Once you write the app, use node to execute the script:
node myscript.js

Download a free, 30-day trial of the CData ODBC Driver for Google Spreadsheets and start working with your live Google Sheets data in Node.js. Reach out to our Support Team if you have any questions.