How to Build Real-World API Tests Using Python and Pytest

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As software systems grow increasingly dependent on microservices and third-party integrations, automated API testing has become essential for maintaining reliability and security. Manual tools like Postman are useful for exploration but fall short in CI/CD environments with hundreds of endpoints. Python's Pytest framework, combined with the Requests library, offers a scalable solution for automating API validation. Developers can write test cases to verify correct status codes, data structures, and error handling — such as confirming a valid user returns HTTP 200 while a missing one returns 404. Advanced patterns like parameterized testing further extend Pytest's usefulness in production-grade testing pipelines.

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