Avoid API Rate Limits with Batch HTTP Requests
Demonstrates batching data with Split In Batches and Wait nodes to prevent HTTP API rate limiting during bulk processing.
This n8n workflow showcases a technique to handle large datasets without hitting API rate limits. It starts with a Manual Trigger, fetches data from a Customer Datastore node (easily replaceable with any data source like Google Sheets or databases), and uses the Split In Batches node to divide items into configurable batches—defaulting to size 1 for strict limits.
Each batch triggers an HTTP Request node that sends POST requests to a target API (using jsonplaceholder.typicode.com as a demo). Af
- Platform
- n8n
- Category
- Health & Fitness
- Price
- $9.99
- Creator
- Fred Garcia
- rate-limiting
- batching
- http-request
- split-in-batches
- wait-node
- api-automation
- bulk-processing
- scalability
- development-tools
- n8n-loop
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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