Google Sheets

Use the Google Sheets node to automate work in Google Sheets, and integrate Google Sheets with other applications. n8n has built-in support for a wide range of Google Sheets features, including creating, updating, deleting, appending, removing and getting documents.

On this page, you'll find a list of operations the Google Sheets node supports and links to more resources.

Credentials

Refer to Google Sheets credentials for guidance on setting up authentication.

Examples and templates

For usage examples and templates to help you get started, take a look at n8n's Google Sheets integrations list.

Operations

• Document
  • Create
  • Delete
• Sheet within document
  • Append or Update Row: append a new row, or update the current one if it already exists.
  • Append Row: create a new row.
  • Clear: clear all data from a sheet
  • Create: create a new sheet
  • Delete: delete a sheet
  • Delete Rows or Columns: delete columns and rows from a sheet
  • Get Many Rows: read all rows in a sheet.
  • Update Row: update rows in a sheet

Related resources

Refer to Google Sheet's API documentation for more information about the service.

View example workflows and related content on n8n's website.

What to do if your operation isn't supported

If this node doesn't support the operation you want to do, you can use the HTTP Request node to call the service's API.

You can use the credential you created for this service in the HTTP Request node:

1. In the HTTP Request node, select Authentication > Predefined Credential Type.
2. Select the service you want to connect to.
3. Select your credential.

Refer to Custom API operations for more information.

Update operations

To update data in a sheet:

1. Select your Authentication method and credential. Refer to Google credentials for more information.
2. In Resource, select Sheet Within Document.
3. In Operation, select one of the append operations.
4. Choose the Document and Sheet you want to edit.

5. Choose your Data Mode:

   • Map Automatically: use this when the table column names (or JSON parameter names) in the node input view match the column names in your spreadsheet. In Column to Match On, select the column name in Google Sheets that you want to map to.

   • Map Each Column Manually: use this when the column names and data structure in your node input data doesn't match the names and structure in Google Sheets.

     1. In Column to Match On, select or enter the column name in Google Sheets.
     2. In the first field in Value to Update, drag in the table column (or JSON parameter) whose value you want to search for.

     3. In the second field of Values to Update, drag in the value you want to add.

        View example and screenshots

        This example uses the Customer Datastore node to provide sample data to load into Google Sheets. It assumes you've already set up your credentials.

        1. Set up a Google Sheet with two columns, test1 and test. In test1, enter the names from the Customer Datastore node:
           
        2. Create the workflow: use the manual trigger, Customer Datastore, and Google Sheets nodes.
           
        3. Open the Customer Datastore node, enable Return All, then select Test step.
        4. In the Google Sheets node, go through the steps above, using these settings:
           • Select Update Row as the Operation.
           • In Column to Match On, select test1.
           • For the first field of Values to Update, drag in the name from the input view.
           • For the second field of Values to Update, drag in the email from the input view.
        5. Select Test step.
        6. View your spreadsheet. test2 should now contain the email addresses that match to the names in the input data.
           

   • Nothing: don't map any data.

Read operations

To read from a sheet:

1. Select your Authentication method and credential. Refer to Google credentials for more information.
2. In Resource, select Sheet Within Document.
3. In Operation, select Get Many Rows.
4. Choose the Document and Sheet you want to read from.

First row

n8n treats the first row in a Google Sheet as a heading row, and doesn't return it when reading all rows. If you want to read the first row, use the Options to set Data Location on Sheet.

Filters

By default, the Google Sheets node reads and returns all rows in the sheet. To return a limited set of results:

1. Select Add Filter.
2. In Column, select the column in your sheet to search against.
3. In Value, enter a cell value to search for. You can drag input data parameters here.

If your filter matches multiple rows, n8n returns the first result. If you want all matching rows:

1. Under Options, select Add Option > When Filter Has Multiple Matches.
2. Change When Filter Has Multiple Matches to Return All Matches.

Output formatting

You can choose how n8n formats the data returned by Google Sheets:

1. After setting up the node to read rows, select Add Option > Output Formatting.
2. In General Formatting, choose one of:
   • Values (unformatted): numbers stay as numbers, but n8n removes currency signs and other special formatting.
   • Values (formatted): n8n displays the values as they appear in Google Sheets (for example, retaining commas or currency signs) To do this, n8n converts the data type from number to string.
   • Formulas: n8n returns the formula. It doesn't calculate the formula output. For example, if a cell B2 has the formula =A2, n8n returns B2's value as =A2 (in text).
3. Choose your preferred Date Formatting.

Append an array

To insert an array of data into Google Sheets, you must convert the data into a valid JSON (key, value) format. You can use the Code node to convert the array into JSON format.

Cell formatting for update and append

You can choose how to format the data in cells:

1. After setting up the node to append data, select Add Option > Cell Format.
2. In Cell Format, select one of:
   • Let n8n format: the new cells in your sheet keep the data type of the data in n8n.
   • Let Google Sheets format: allow Google Sheets to style the cells as if you typed the data directly into the cells.