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Best Practices

Adhering to these best practices will help you build robust, efficient, and maintainable integrations with our API.

Error Handling

  • Always Check Status Codes: Do not assume success. Always check the HTTP status code of the response.
  • Parse Error Responses: When an error occurs (e.g., 4xx or 5xx status codes), the API will return a JSON error object. Parse this object to understand the specific error code and message.
  • Implement Retries with Backoff: For transient errors (e.g., 429 Too Many Requests, 5xx server errors), implement an exponential backoff strategy for retries. Do not hammer the API with immediate retries.
  • Log Errors: Log detailed error information (request, response, timestamp) for debugging and monitoring.

Usage Tips

  • Use HTTPS: Always use HTTPS for all API calls to ensure data encryption in transit.
  • Idempotency: For non-GET requests (POST, PUT, DELETE), consider if your operation needs to be idempotent. If so, ensure your client can handle retries without creating duplicate resources or side effects.
  • Minimize Requests: Where possible, use endpoints that allow batch operations or filtering to reduce the number of API calls.
  • Validate Inputs: Validate all data sent to the API on your client-side before making the request to prevent unnecessary API calls and improve user experience.
  • Handle Pagination: For endpoints returning large lists, always implement pagination correctly to avoid fetching excessive data in a single request.

Common Pitfalls

  • Ignoring Rate Limits: Failing to respect rate limits can lead to your IP being temporarily blocked.
  • Hardcoding Credentials: Never hardcode API keys or tokens directly in your application code, especially in client-side applications. Use environment variables or secure configuration management.
  • Synchronous Calls in UI Threads: Avoid making synchronous API calls in UI threads, as this can freeze your application. Use asynchronous patterns.
  • Not Handling Network Issues: Your application should gracefully handle network timeouts, connection errors, and other connectivity problems.
  • Over-fetching/Under-fetching: Requesting too much or too little data can lead to inefficiencies. Understand the data returned by each endpoint and only request what you need.