Process Data in Batches with Conditional Logic and Custom Code

How it works

1. 1.Receive data through manual trigger or webhook endpoint
2. 2.Split incoming data into separate batches using Split In Batches node
3. 3.Implement wait periods between batch cycles to manage processing pace
4. 4.Execute custom code to transform and manipulate batch data
5. 5.Evaluate conditional logic to route batches based on defined criteria
6. 6.Send processed results via HTTP requests and webhook callbacks to external systems

Use cases

• Transform large CSV files incrementally while respecting API rate limits
• Send bulk notifications with controlled delays to prevent throttling
• Track multi-step process status and respond based on success or failure states
• Synchronize data across systems with comprehensive validation checks

Requirements

• Basic understanding of batch processing and data pipeline concepts
• Ability to write simple JavaScript or Python code for data transformations
• Knowledge of conditional logic and decision tree structures
• Access to API credentials for external system integration

Service Value

Ready-made workflow template for automation delivery and service execution.