Extract and aggregate structured data from multiple sources
Workflow Description
Automation that retrieves data from multiple sources, aggregates and organizes it according to defined criteria, then stores it in formatted files. Includes validation checks to ensure data quality and retry mechanisms for error handling.
How it works
- 1.Trigger the automation manually or based on an external event
- 2.Send HTTP requests to fetch data from the target tool or API
- 3.Validate received data against specified conditions and quality rules
- 4.Aggregate the data and apply programmatic transformations for formatting
- 5.Save structured data to files in JSON, CSV, or text format
- 6.Log results and handle errors with retry logic
Use cases
- Consolidate performance reports from multiple systems into centralized storage
- Extract customer data from APIs and save it in organized, consistent format
- Process large datasets and normalize them before importing into databases
Requirements
- API keys or authentication credentials for source tools
- Write permissions on the file storage system being used
- Understanding of the data structure to be extracted and organized
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (16)
When clicking ‘Test workflow’
Manual Trigger
If
If
Set Snapshot Id
Set
Download Snapshot
HTTP Request
Wait
Wait
Check on the errors
If
Check Snapshot Status
HTTP Request
Initiate a Webhook Notification
HTTP Request
Aggregate JSON Response
Aggregate
Set Dataset Id, Request URL
Set
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Create a binary data
Function
Write the file to disk
Read Write File
HTTP Request to the specified URL
HTTP Request