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Sum or aggregate a column of spreadsheet or table data

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Sum or aggregate a column of spreadsheet or table data preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow shows how to sum multiple items of data, like you would in Excel or Airtable when summing up the total of a column. It uses a Function node with some javascript to perform the aggrega...

Best for

  • Engineering automation workflows
  • beginner n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.function

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Max Tkacz.

Original n8n.io source

1.1 Workflow description

Title
Sum or aggregate a column of spreadsheet or table data
Workflow name
Sum or aggregate a column of spreadsheet or table data

This workflow shows how to sum multiple items of data, like you would in Excel or Airtable when summing up the total of a column. It uses a Function node with some javascript to perform the aggregation of numeric data.

The first node is simply mock data to avoid needing a credential to run the workflow. The second node actually performs the summation - the javascript has various comments in case you need to edit the JS. For example, to sum multiple items of data.

Below is an example of the type of data this workflow can sum - so anything that is in a tabular form (Airtable, GSHeets, Postgres etc).

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - On clicking 'execute'

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Mock data

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 3 - Summing function

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

3. Summary Table

Workflow Sum or aggregate a column of spreadsheet or table data
Complexity beginner
Nodes 3
Categories Engineering
Author Max Tkacz
Published 28 Feb 2022

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/1497/1497.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Sum or aggregate a column of spreadsheet or table data do?

This workflow shows how to sum multiple items of data, like you would in Excel or Airtable when summing up the total of a column. It uses a Function node with some javascript to perform the aggrega...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering use case.