Process large datasets in scheduled batches with HTTP requests

How it works

1. 1.Schedule trigger initiates the workflow at predefined intervals
2. 2.HTTP request fetches raw data from source API or database
3. 3.Data splits into sequential batches for controlled processing
4. 4.Conditional logic evaluates each batch to determine processing path
5. 5.Wait node introduces delays between batch submissions
6. 6.Final HTTP request sends processed batches to destination endpoint

Use cases

• Export millions of database records to external systems progressively without overwhelming APIs
• Process large CSV files and batch-update thousands of records in CRM platforms
• Sync data between rate-limited systems while respecting API call thresholds

Requirements

• Valid API endpoint URL and request method (GET, POST, or other)
• Clear conditional logic rules to filter and categorize data appropriately
• Optimal batch size and delay interval matched to target system capacity

Service Value

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