Aggregate consultants

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Integration And Tools Consultants

Aggregate

About Aggregate

Aggregate is an n8n utility node that collects multiple items from previous steps and combines them into a single output. When your workflow processes data in batches or loops — pulling records from an API, iterating through spreadsheet rows, or handling webhook payloads — Aggregate gathers all those individual items so downstream nodes can work with the complete dataset at once.

This matters more than it sounds. Many workflow steps produce one item at a time, but the next step needs all of them together. You might need to compile a summary report from individual API responses, merge rows before writing to a database, or collect results from parallel branches into one payload. Without Aggregate, you end up with fragmented data that is difficult to process as a whole.

Developers and data teams use Aggregate as the glue between collection and action. It pairs naturally with Split In Batches, Loop Over Items, and HTTP Request nodes that return paginated results. Once everything is collected, you can sort, filter, or transform the combined dataset before sending it wherever it needs to go.

Osher Digital builds automated data processing workflows for Australian businesses using n8n. If you are working with data from multiple sources and need it consolidated reliably, our n8n consulting team can design a workflow that handles the heavy lifting.

Aggregate FAQs

Frequently Asked Questions

When should I use the Aggregate node in n8n?

What is the difference between Aggregate and Merge in n8n?

Can Aggregate handle large datasets without performance issues?

Does Aggregate preserve the order of items?

Can I aggregate only specific fields from each item?

How can Osher Digital help with data aggregation workflows?

How it works

We work hand-in-hand with you to implement Aggregate

Step 1

Identify What Needs Aggregating

Look at your workflow and find where multiple items are produced that need to be combined. This could be after a loop, a paginated API call, or a node that outputs one record at a time.

Step 2

Place the Aggregate Node

Add the Aggregate node to your workflow canvas after the step that produces individual items. Connect it so all items flow through before moving to the next processing stage.

Step 3

Choose the Aggregation Mode

Configure whether to aggregate all items into a single list or group them by a specific field value. The mode you choose depends on whether you need one flat collection or categorised groups.

Step 4

Select Fields to Include

Specify which fields from each item should be included in the aggregated output. You can include everything or pick only the fields relevant to your downstream processing to keep the payload lean.

Step 5

Connect to Downstream Nodes

Wire the Aggregate output to your next step — a Code node for transformation, an HTTP Request to send the combined data, or a spreadsheet node to write all records at once. The aggregated data is now available as a single item.

Step 6

Validate with Test Data

Run the workflow with representative data and check that all items are collected correctly. Verify item counts, field completeness, and ordering before activating the workflow in production.

Transform your business with Aggregate

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Aggregate consultation.