API Integration Samples
Explore these practical examples showcasing how to integrate with external APIs using ASP.NET Core MVC and Razor Pages. Learn best practices for making HTTP requests, handling responses, and managing data.
Featured Samples
Consuming a RESTful Weather API
This sample demonstrates how to fetch real-time weather data from a public API. It covers request construction, JSON deserialization using System.Text.Json, and displaying the data in a user-friendly format.
Integrating with a Product Catalog API
Learn how to interact with a backend API that manages product information. This sample includes handling different HTTP methods (GET, POST, PUT, DELETE), error handling, and creating simple CRUD operations within your ASP.NET Core application.
Authentication and Authorization with APIs
This sample focuses on secure API integration, covering common authentication schemes like API keys and OAuth 2.0. It shows how to include authentication tokens in your requests and handle authorized responses.
Asynchronous API Calls with Parallelism
Discover how to perform multiple API requests concurrently using asynchronous programming and Task.WhenAll. This improves application responsiveness and performance by reducing waiting times.
Key Concepts and Best Practices
When integrating with APIs in ASP.NET Core MVC and Razor Pages, consider the following:
HttpClientFactory: Recommended for managingHttpClientinstances, providing resilience and performance benefits.- Asynchronous Operations: Always use
asyncandawaitfor I/O-bound operations like HTTP requests to keep your application responsive. - Strongly-Typed Models: Define C# classes that map to your API's JSON responses for easier data manipulation and validation.
- Error Handling: Implement robust error handling for network failures, API errors (e.g., 4xx, 5xx status codes), and unexpected response formats.
- Configuration: Store API endpoints, keys, and other configuration details securely, typically in
appsettings.jsonor environment variables. - Logging: Integrate logging to track API requests, responses, and errors for debugging and monitoring.