Loop Over Items (Split in Batches) consultants
We can help you automate your business with Loop Over Items (Split in Batches) and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Loop Over Items (Split in Batches).
About Loop Over Items (Split in Batches)
The Loop Over Items node (also called Split in Batches) in n8n processes large datasets in smaller groups rather than all at once. It takes an array of items, splits them into batches of a configurable size, and processes each batch through a defined set of nodes before moving on to the next batch.
This node solves a fundamental problem in workflow automation: most APIs, databases, and external services cannot handle thousands of records in a single request. They have rate limits, payload size restrictions, or timeout constraints. Without batch processing, a workflow that needs to update 5,000 CRM records would either hit API limits or time out entirely.
The node works by splitting your data into groups (e.g., 50 items per batch), sending each group through downstream nodes, and then looping back for the next group until all items are processed. You can combine it with Wait nodes to add delays between batches, which is essential for respecting rate limits on services like Google, HubSpot, or Xero.
At Osher, we use this node in virtually every data processing workflow that handles more than a handful of records. Our BOM weather data pipeline project relied on batch processing to handle large volumes of meteorological data without overwhelming downstream APIs. Our n8n consulting team sizes batches based on the specific API limits of each integration involved.
Loop Over Items (Split in Batches) FAQs
Frequently Asked Questions
Common questions about how Loop Over Items (Split in Batches) consultants can help with integration and implementation
What does the Loop Over Items node actually do?
Why not just process all items at once?
How do I choose the right batch size?
Can I add delays between batches for rate limiting?
What happens if one batch fails?
Can Osher set up batch processing workflows for our data?
How it works
We work hand-in-hand with you to implement Loop Over Items (Split in Batches)
As Loop Over Items (Split in Batches) consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Loop Over Items (Split in Batches) with integrate and automate 800+ tools.
Step 1
Process Audit
We review your data volumes and the API rate limits of every service involved in your workflows. This includes documenting how many records need processing per run, what rate limits apply to each integration, and where current workflows fail or time out due to volume constraints.
Step 2
Identify Automation Opportunities
We identify workflows that currently fail under load or require manual intervention to process large datasets. Common candidates include bulk CRM updates, mass email sends, large-scale data migrations, and recurring data sync jobs that pull from APIs with strict rate limits.
Step 3
Design Workflows
We design workflows with Loop Over Items nodes configured for optimal batch sizes. Each loop includes appropriate Wait nodes for rate limiting, error handling for failed batches, and progress tracking so you can see how far through the dataset the workflow has progressed.
Step 4
Implementation
We build the batch processing workflows in n8n, configuring batch sizes, delay intervals, and error handling. We test with representative data volumes to confirm that rate limits are respected, memory usage stays within bounds, and all items are processed correctly.
Step 5
Quality Assurance Review
We test with datasets of varying sizes, including edge cases like empty datasets, single-item batches, and datasets larger than expected. We verify that error handling catches failures without stopping the entire loop and that retry logic works for transient errors.
Step 6
Support and Maintenance
We monitor batch processing workflows for completion rates, error rates, and processing times. When data volumes grow or API rate limits change, we adjust batch sizes and delay intervals to keep workflows running reliably.
Transform your business with Loop Over Items (Split in Batches)
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Loop Over Items (Split in Batches) consultation.