Efficient Batch Processing Workflow with Conditional Logic in n8n

Overview

This workflow demonstrates how to automate data processing in n8n by splitting input data into manageable batches and applying conditional logic to each batch. It is initiated manually, allowing users to control execution timing.

Key Features

• Manual Trigger: Start the workflow on demand for flexible operation.
• Function Node: Prepares or transforms input data before batch processing.
• Split In Batches: Divides large datasets into smaller, more manageable chunks for efficient handling.
• Conditional Logic (IF Node): Applies rules to each batch, enabling dynamic decision-making based on data attributes.
• Set Node: Formats or enriches data for downstream processes or integrations.

Benefits

• Improved Efficiency: Handles large datasets without overwhelming system resources.
• Customizable Logic: Easily adapt conditions and actions to fit specific business needs.
• Error Reduction: Batch processing minimizes the risk of data loss or processing errors.
• Time Savings: Automates repetitive tasks, freeing up valuable human resources.

Use Cases

• Processing customer records in batches for marketing campaigns.
• Segmenting sales leads for targeted follow-up.
• Preparing data for analytics or reporting workflows.

This workflow is ideal for businesses seeking scalable, reliable, and customizable data processing automation within n8n.