How do you automate API testing with Postman scripts and runners?

📍Write API test scripts in Postman. 📍Organize tests into collections. 📍Configure test runners for automated execution. 📍Set environments for variable testing. 📍Schedule tests for regular runs.

Postman scripts, written in JavaScript and embedded within API requests, automate tasks like setting variables, generating dynamic data, and validating responses. They streamline API testing processes, improving efficiency, test coverage, and the reliability of APIs by enabling automated execution of complex testing scenarios and logic.

- Postman scripts are JavaScript codes. - Execute actions before/after requests. - Automate tests & workflows. - Validate responses & data. - Customize requests dynamically.

1. Postman Scripts: JavaScript snippets in Pre-request Script or Tests tabs to set variables, generate data, validate responses, or create custom logic using the pm object. 2. Writing Scripts: Use the Postman Sandbox, write in the editor, use snippets, or require libraries like Lodash or Moment. 3. Postman Runners: Run requests/collections in sequence with iterations, delays, and datasets for automated tests. 4. Using Runners: Select a collection, configure settings, monitor status, results; pause/resume/stop as needed. 5. Generating Reports: Export in JSON, HTML, JUnit, or Newman. Integrate with Jenkins or Travis CI for reporting. 6. Improving Skills: Use the Postman Learning Center and join the Postman Community for resources.

𝗚𝗹𝗼𝗯𝗮𝗹 𝗮𝗻𝗱 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗩𝗮𝗿𝗶𝗮𝗯𝗹𝗲𝘀: 🌍 Manage dynamic data across multiple requests. 𝗖𝗵𝗮𝗶𝗻𝗶𝗻𝗴 𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀: 🔗 Pass data between requests within a collection. 𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: 📊 Use CSV/JSON files to run tests with different data sets. 𝗔𝘀𝘀𝗲𝗿𝘁𝗶𝗼𝗻𝘀: ✅ Write custom assertions to validate response data. 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗥𝘂𝗻𝗻𝗲𝗿: 🏃♂️ Execute entire collections or specific folders of requests. 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: 🔄 Set the number of iterations for running tests multiple times. 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀: ⚙️ Use if statements to control the flow between requests.

1. Create a Postman Collection with API requests. 2. Write JavaScript test scripts for assertions. 3. Set up environment variables and define environments. 4. Export collection to JSON. 5. Use Newman CLI for local testing: ``` newman run collection.json -e environment.json ``` 6. Integrate Newman into CI/CD pipelines. 7. Monitor results and schedule tests.

Using postman snippets we can use some pre generated java script code based on our requirements The recent postman auto generated scripts postbot AI mechanism will generate the scripts automatically based out the response which we get.

Postman scripts offer a powerful way to enhance your API testing. By writing JavaScript in the Pre-request Script or Tests tabs, you can dynamically set variables, generate data, and validate responses. The ability to use external libraries like Lodash or Moment further extends functionality, making your tests more robust and versatile. Utilizing the Postman Sandbox and its pm object ensures you have the tools to manage requests and responses effectively. This scripting capability transforms Postman from a simple API client into a comprehensive testing suite.

Create a Collection: Start by creating a new collection or importing an existing one, which contains your API requests. Create or Edit a Request: Select or create a request within the collection that you want to work with. Access Scripts Tab: Inside the request, go to the "Scripts" tab, where you can write pre-request scripts and tests. Write JavaScript Code: In the pre-request script or tests section, use the built-in code editor to write JavaScript code. Save and Run: After writing your scripts, save your changes and run the request. Postman will execute the scripts according to the specified context (pre-request or test), and you can view the results in the response and the Postman console.

Postman runners are valuable tools for streamlining API workflows, improving testing practices, and reducing errors. Benefits of Using Postman Runners: - Save Time and Effort: Automate repetitive tasks, freeing up time for more complex work. - Enhanced Testing: Schedule regular API tests to ensure consistent functionality. - Minimize Errors: Reduce human error by automating tasks.

Postman runners are powerful tools that streamline API testing by executing multiple requests or collections in a specified sequence. load testing a web application's API endpoints by runners. Suppose you have a collection of requests that simulate user actions such as logging in, browsing products, adding items to the cart, & checking out. By configuring the Postman runner to run these requests in parallel with a specific number of iterations and delay between requests, you can simulate a realistic user load on the API & assess its performance under varying levels of concurrent users. Postman runners provide a convenient way to automate testing & gather insights into the API's scalability & responsiveness under different load conditions.

Runner Postman provides you with interesting features, you can repeat it a cupple of times, and pass your desired inputs to it through environment variables. Also, by writing test scripts, you can find out whether the API gives you the desired answer or not.

Postman runners are tools within Postman that allow you to automate the execution of a collection of API requests. They help you run your tests, monitor results, and ensure your APIs behave as expected. Key Features: Collection Runner: Execute a series of requests in a specific order. Scheduling: Automate tests to run at set intervals using Monitors. Integration: Use Newman, the command-line collection runner, to integrate API tests into CI/CD pipelines. Postman runners make it easy to maintain API quality by automating repetitive testing tasks, ensuring efficient and reliable API management.

Postman Runners are automation tools in Postman that streamline API testing. The Collection Runner executes a series of requests within a collection, while Monitors automate collection runs at scheduled intervals. Both allow data-driven testing, variable manipulation, script execution, and reporting, making API testing more efficient and insightful.

Using Postman runners automates testing of API endpoints. Start by creating a collection, adding requests, and configuring variables and environments. Then, select the collection and environment in the Collection Runner. Configure runner options like iterations and delays. Execute the collection to run requests sequentially, viewing detailed results afterward. Analyze and debug as needed, adjusting configurations for subsequent runs. Postman runners streamline testing, ensuring API functionality and performance across different scenarios.

- Create a postman collection and add list of APIs in that. - Click on the collection and Run it. - We can change the order of APIs, select or deselect if required. - We can do either functional or performance testing. - For functional testing, we can choose to run manually or schedule it. We can even choose to run it via CLI in our build pipelines. - We can set environment, from which all environment variables are gathered. - We can configure to let us notify the results. - For performance testing, we can configure to number of virtual users (fixed or ramp up) and test the load on the API.

Create/Import Collection: Start with an API request collection. Add Requests: Populate the collection with the requests you want to run. Set Variables (Optional): Configure variables for dynamic data. Create Test Scripts (Optional): Add scripts to validate responses. Open Collection Runner: Click "Runner" in the menu. Select Collection: Choose the collection for the run. Configure Run: Customize settings like iterations and delays. Start Run: Execute the requests as per your configuration. Review Results: Check detailed logs and pass/fail statuses.

Using Postman runners involves a few straightforward steps: Select Collection or Folder: Choose the collection or folder you want to run. Configure Settings: Adjust settings such as the environment, number of iterations, delay between requests, data file for variables, and log level. Order Option: If needed, select a specific subset of requests to run. Start the Run: Click "Run" to begin execution. Monitor Execution: Observe the execution status, test results, console output, and run summary. Control the Run: Pause, resume, or stop the run as needed. This process helps automate testing, providing detailed insights and ensuring robust API performance.

1. Launch Postman and make sure your API requests are saved inside a collection. 2. Click on the "Runner" button located at the top-left of the interface. Alternatively, go to File -> New Runner Tab. 3. Choose the collection to run. This should contain the requests and test scripts you've already defined under the Tests tab for each request. 4. If your requests use any environment variables, then select the corresponding environment from the dropdown. 5. Add a data file (this is optional) and Configure how many times you want to run the collection and also add a time delay between each request. 6. Run the collection. Once the run is complete, Postman displays a summary of passed/failed tests.

Generating test reports in Postman runners is straightforward and beneficial for analyzing API performance, quality, and coverage. Here's how to do it: Export Results: After a run, use the "Export Results" option in the run summary to generate a report. New Run Button: In the Runner window, you can also use the "New Run" button to initiate and generate reports. Format Options: Choose from various formats like JSON, HTML, JUnit, or Newman, depending on your needs. Integrations: Utilize integrations such as Postman Monitors, Jenkins, or Travis CI to automate test reporting and notifications. These steps provide comprehensive insights into your API testing, helping ensure robust and reliable performance.

Generating test reports in Postman is simple and provides valuable insights into your API tests. Using Newman: Postman’s command-line tool, Newman, can generate detailed reports in various formats (HTML, JSON, etc.). Run your collection with Newman and specify the report type: - newman run your-collection.json -r html Collection Runner: After running tests in the Collection Runner, you can export the results directly from Postman. Postman Monitors: Schedule your tests with Postman Monitors and get automated reports via email or in the dashboard. Integrate with CI/CD: Combine Newman with CI/CD pipelines to automate report generation and integration with other reporting tools like Jenkins or GitLab.

Along with the above mentioned runners one among popular is Newman with htmlextra report, Newman is the CLI for postman collection using Newman htmlextra report we can get the detailed html report with date & time , request , response and test assertions details. Command : Newman run collectionname.json -r htmlextra

For generating test reports for API tests, one can consider making a Linux/bash script wherein the parameters (say, the API URI paths, the test sub ID, port, etc.)will be given in a file. The script will take the details from the file and generate the test report in an excel sheet, making life easier for the developer and automating the API testing process. Furthermore, a FE (UI interface) can be used, so that anyone can generate and see the test report without going to the depths of Linux commands.

To generate test reports in Postman, use the Collection Runner or Postman Monitors to execute your tests. After running tests, you can export results from the run summary in various formats like JSON, HTML, or JUnit. For more advanced reporting, integrate with Newman, Postman's command-line tool, to automate test execution and generate detailed reports. Additionally, leverage CI/CD tools such as Jenkins or Travis CI for continuous integration and automated reporting. Postman Monitors can also be used to schedule tests and produce regular performance reports, ensuring consistent API quality and reliability.

Write code day by day and consistently is the best practice for every skills. Beside, we can refer senior in our company to know how they do API testing and follow them.

If you only do test from QA side, check our for more input that you can take with the view of FE and BE dev. In BE, we have some tools that can swagger that consume the openAPI document to give you many advantages to using it as input. That's my take on improving and making use of the resources that we have.

- Learn how to use headers and cookies - Try all authentication methods like bearer, basic, ... - Create collections and try to add collection runners to a specific purpose - Try to use different types of requests like form data, JSON, ...

- Create API Requests - Set Environment Variables - Configure Pre-request Scripts - Run Collections with Collection Runner - View Test Results

To improve your API testing skills: Master the Basics: Understand HTTP methods, status codes, headers, and response formats like JSON and XML. Use Tools Effectively: Get proficient with tools like Postman, Swagger, and Insomnia for manual and automated API testing. Learn Scripting: Enhance tests with scripts (e.g., in Postman) to automate complex scenarios and validations. Focus on Security: Test for common vulnerabilities like injection attacks, authentication issues, and data exposure. Practice with Real APIs: Regularly test public APIs to gain practical experience and encounter diverse scenarios. Stay Updated: Keep up with API testing trends, tools, and best practices to refine your skills continuously.