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A step-by-step guide on how to effectively validate your JSON schema in Postman to ensure the correctness of your API responses. --- This video is based on the question https://stackoverflow.com/q/70086811/ asked by the user 'Taimoor Pasha' ( https://stackoverflow.com/u/6049180/ ) and on the answer https://stackoverflow.com/a/70088698/ provided by the user 'djmonki' ( https://stackoverflow.com/u/11543023/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Validate JSON Schema using Postman Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Validate JSON Schema Using Postman with Ease Postman is a powerful tool for API testing, but validating the JSON schema of your responses can sometimes be challenging. If you've found yourself grappling with failed test cases while trying to validate your JSON responses, you're not alone. In this guide, we'll unravel the issue and provide a clear, structured solution to help you validate your JSON schema using Postman effectively. The Problem at Hand You may have received a response from your API which looks perfectly fine, but when you attempt to validate its JSON schema, the test fails. For instance, let's say your response JSON looks like this: [[See Video to Reveal this Text or Code Snippet]] While your schema definition may closely match the structure of the response, there could be subtle discrepancies that lead to validation failures. Analyzing the Initial Approach Your first attempt may have set up a schema like this: [[See Video to Reveal this Text or Code Snippet]] Common Issues to Notice The types defined for products and demographics are incorrectly set as strings; they should be arrays. Solution: Correct Schema Definition To rectify the issue, you need to amend the schema definition to accurately reflect the structure of your JSON response. Here's how you can do it: Step 1: Update Your Schema You should define products and demographics as arrays containing strings. Below is the corrected schema: [[See Video to Reveal this Text or Code Snippet]] Step 2: Validate the Schema With the corrected schema, proceed to validate your response. Use the following code snippet in Postman to perform the test: [[See Video to Reveal this Text or Code Snippet]] Step 3: Storing the Schema as a Global Variable (Optional) To make your tests cleaner, consider storing the schema in a global variable. This will help in maintaining your test scripts. Here's how you can set that up: [[See Video to Reveal this Text or Code Snippet]] Conclusion Validating your JSON schema in Postman doesn't need to be complicated. By ensuring your schema accurately reflects the structure of your API response, you can quickly identify and resolve validation issues. Remember to regularly update your schema definitions to stay in sync with your API changes. With this approach, you'll be on your way to flawless API response validation in no time. Happy testing!