Postman

  • Postman is mostly used app for developing and testing API .Postman is a free app which is available for MacOS,Windows,Linux and Chrome app.It is used to you to create, save, send HTTP requests and test the response data.It helps to automate the process of making API requests and testing API responses.There are various features which can be used in Postman which are as follow :
    Collections
    Authorization
    Manage Environments and Shared Environments
    Tests
    Pre-request scripts

    REST(REpresentational State Transfer) uses various representations to represent a resource like Text, JSON and XML. JSON is now the most popular format being used in Web Services.
    Postman uses various HTTP Methods.Some of the commonly used HTTP methods used in Postman are as follow:

    GET − Provides a read only access to a resource.
    PUT − Used to create a new resource.
    DELETE − Used to remove a resource.
    POST − Used to update an existing resource or create a new resource.
    1)Sending the API request

    1.Enter dummy-api.com/get into the URL field.
    2.Hit the Send button to send your request, and you will see the server response in the body with some JSON data.
    3.Postman will dummy-api.com/get under the History tab of the sidebar.

    2)Creating the collection

    Collections are groups of saved requests

    1.With the request you just created in the request builder, click the Save button to open the SAVE REQUEST modal.
    2.Request discription is optional.
    3.Now, save this request to an existing collection, or create a new collection by entering a collection name, and then Save.
    3)Managing the Environments

    Environments give you the ability to customize requests using variables. This way you can easily switch between different setups without changing your requests. Environments can be downloaded and saved as JSON files.

    Create a new environment

    1.Click the Environment option in the upper right corner of the Postman app and select “Manage Environments”. Click the Add button to create a new environment.
    2.After creating the environment you can share,download,edit,duplicate and delete the environment.

    4)With Postman you can write and run tests for each request using the JavaScript language.

    For example:
    var jsonData = JSON.parse(responseBody);
    postman.setEnvironmentVariable(“Userid”,jsonData. userId);

    //This parses theresponse body and assigns the value of ‘userId’ in the response data by creating an environment variable: ‘Userid’.

    var schema = {
    “items”: {
    “type”: “string”
    }
    };
    var data1 = [jsonData.name];
    console.log(tv4.error);
    tests[“Valid Data1”] = tv4.validate(data1, schema);

    //Checks if the name is string.
    Similarly validates the entire response schema.


Posted

in

by

Tags:

Recent Post

  • Generative AI in corporate accounting: Integration, use cases, challenges, ROI evaluation, and future outlook

    Overview Corporate accounting is fundamental to ensuring an organization’s financial stability and strategic growth. As the cornerstone of financial reporting and decision-making, it upholds transparency and accountability in business operations. However, technological advancements, particularly the emergence of generative AI, are redefining the field. By automating repetitive tasks and amplifying data-driven insights, generative AI in corporate […]

  • Generative AI in HR Operations: Overview, Use Cases, Challenges, and Future Trends

    Overview Imagine a workplace where HR tasks aren’t bogged down by endless paperwork or repetitive chores, but instead powered by intelligent systems that think, create, and adapt—welcome to the world of GenAI. Generative AI in HR operations offers a perfect blend of efficiency, personalization, and strategic insight that transforms how organizations interact with their talent. […]

  • Generative AI in Sales: Implementation Approaches, Use Cases, Challenges, Best Practices, and Future Trends

    The world of sales is evolving at lightning speed. Today’s sales teams are not just tasked with meeting ambitious quotas but must also navigate a maze of complex buyer journeys and ever-rising customer expectations. Despite relying on advanced CRM systems and various sales tools, many teams remain bogged down by repetitive administrative tasks, a lack […]

  • Generative AI in Due Diligence: Integration Approaches, Use Cases, Challenges, and Future Outlook

    Generative AI is revolutionizing the due diligence landscape, setting unprecedented benchmarks in data analysis, risk management, and operational efficiency. By combining advanced data processing capabilities with human-like contextual understanding, this cutting-edge technology is reshaping traditional due diligence processes, making them more efficient, accurate, and insightful. This comprehensive guide explores the integration strategies, practical applications, challenges, […]

  • Exploring the Role of AI in Sustainable Development Goals (SDGs)

    Artificial Intelligence (AI) is revolutionizing how we address some of the world’s most pressing challenges. As we strive to meet the United Nations’ Sustainable Development Goals (SDGs) by 2030, AI emerges as a powerful tool to accelerate progress across various domains. AI’s potential to contribute to sustainable development is vast from eradicating poverty to combating […]

  • Future Trends in AI Chatbots: What to Expect in the Next Decade

    Artificial Intelligence (AI) chatbots have become indispensable across industries. The absolute conversational capabilities of AI chatbots are enhancing customer engagement, streamlining operations, and transforming how businesses interact with users. As technology evolves, the future of AI chatbots holds revolutionary advancements that will redefine their capabilities. So, let’s start with exploring the AI chatbot trends: Future […]

Click to Copy