11. Understand API Automation Basics

Manual API testing is useful, but repeating the same checks can take time. API automation helps execute these checks consistently.

You can start with simple assertions in Postman and gradually learn more advanced automation.

For example, a Postman test can verify a status code:

pm.test("Status code is 200", function () {
    pm.response.to.have.status(200);
});

You can also validate response fields:

pm.test("User ID is correct", function () {
    const response = pm.response.json();

    pm.expect(response.id).to.eql(101);
});

These examples assume the API returns a JSON object with an id field and that the expected ID is 101.

As you improve, explore:

Start with small tests and build your skills step by step.

12. Check API Performance

API performance testing helps determine whether an API responds within acceptable limits under expected conditions.

Basic performance-related checks include:

Tools such as Apache JMeter can help you perform load and performance testing.

However, a single fast response does not prove that an API can handle heavy traffic. Proper performance testing requires suitable workloads, multiple measurements, and clear performance targets.

13. Learn Basic API Security Testing

API security testing checks whether APIs protect data and prevent unauthorized actions.

Every QA engineer should understand common security risks, even if a dedicated security team performs advanced penetration testing.

Important checks include:

Never test security controls against production systems or other systems without permission. Use an approved test environment and test accounts.

14. Learn to Read API Documentation

API documentation explains how an API is expected to work.

It may include endpoint URLs, HTTP methods, request parameters, authentication requirements, example requests, response schemas, and error codes.

Many teams use the OpenAPI specification and tools such as Swagger UI to document APIs.

A QA engineer should be able to read the documentation and convert its requirements into test scenarios.

For example, if the documentation says that an email field is mandatory, you should test requests with a valid email, a missing email, an empty email, and an invalid email.

Good documentation skills help you identify missing requirements and clarify expected behavior with developers and business analysts.

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