![]() Open Postman and select the "." button over your collection, then select the request that you configured with the variables against your header defined in your spreadsheet and lastly click on the "Select File" to select your CSV file and run the testing environment as shown below. With the CSV file exported, you can now import it into Postman. Step 5: Import the CSV File into Postman & Run the Test Cases Save the CSV file to a location where it can be easily accessed. To do this, select "Save As" from the File menu, and then choose "CSV (Comma delimited)" from the Save as type drop-down menu. ![]() Once you have populated the Excel spreadsheet with the test cases, you can export it to CSV format. You can also add comments and other information as needed as shown above in the Sample Test Case Spreadsheet - It purely upon what you are testing and how you align the columns accordingly for your test cases/scenarios. ![]() For each test case, enter the name, description, input data, and expected output. With the Excel spreadsheet set up, it's time to populate it with the test cases you defined in step 1. Step 3: Populate the Spreadsheet with Test Cases You can also add additional columns for comments, test status, and other relevant information. Create columns for the test case name, description, input data, expected output, and actual output. Once you have defined the test cases, the next step is to create an Excel spreadsheet to document the test cases. This saves time and reduces the risk of human error. Automate testing: Automate testing wherever possible.This helps identify any performance bottlenecks and ensures that the API can handle the expected load. Test for performance: Test for performance by measuring the response time and throughput of the API.This ensures that the API is functioning correctly and returning the expected data. Validate the response data: Validate the response data returned by the API against the expected results.Positive test cases validate the expected behavior of the API, while negative test cases test the API's ability to handle unexpected inputs and error conditions. Include both positive and negative test cases: Include both positive and negative test cases.This makes it easier for other team members to understand the test cases and execute them. Use clear and concise language: Use clear and concise language to write test cases.This means that the outcome of one test case should not affect the outcome of another test case. Keep test cases independent: Each test case should be independent of other test cases.Test all possible scenarios: Test all possible scenarios, including valid and invalid inputs, boundary conditions, and error conditions.This involves defining the test objectives, identifying the test conditions, and specifying the expected results. Use a structured approach: Use a structured approach to write test cases.This involves understanding the functionality of the API and the various scenarios that need to be tested. Identify the scope of testing: Before writing test cases, it is important to identify the scope of testing.There are several best practices for writing API test cases. ![]() For example, if you are testing an e-commerce website's API, you may want to test scenarios such as adding items to a cart, editing cart items, and checking out. This involves identifying the various scenarios that need to be tested. The first step in writing API test cases is to define the test cases. In this article, we will discuss how to write API test cases in Excel and then export them to CSV to be used in a tool like Postman to automate testing a web service. API testing is an essential part of the software development process, and it is crucial to ensure that the API is working correctly. One popular method of testing web services is through the use of APIs (Application Programming Interfaces). As more and more businesses interface with web applications and services, the need for efficient and effective testing of these services has grown exponentially.
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