Advanced automation in n8n: an API integration case

Goal: automate the process of collecting and enriching target audience data, transforming manual search into a scalable business process for market analysis.

Contribution: built a comprehensive, multi-stage workflow in n8n for integration with a complex third-party API. The established robust architecture uses:
- Asynchronous wait cycle (`Wait` + `IF`) for handling tasks that take hours.
- Mechanism for sequential, step-by-step data processing with pauses to bypass strict, undocumented API limits (Rate Limiting).
- Advanced parsing and cleaning of unstructured ("dirty") data using custom Python code.
- Automatic request retry mechanisms (`Retry on Fail`) to increase resilience to network errors.

Success: demonstrated the ability to automate complex processes using external APIs. The final prototype showed:
- Technical resilience: the solution can independently "heal" network errors and operate under strict constraints.
- Scalability: the created architecture is a reliable template that can be easily adapted to work with any other data provider.
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