In modern software development, APIs (Application Programming Interfaces) enable systems to communicate seamlessly. Whether a weather app fetching real-time data or a payment gateway is processing transactions, APIs work behind the scenes to ensure smooth functionality. But as APIs grow more complex, so does the need to test them effectively, and that’s where automated API testing steps in.
Manual testing may still hold value in exploratory scenarios, but it’s rarely sufficient for fast-moving agile or DevOps environments. Automation helps teams save time, reduce errors, and maintain consistency across builds. It’s especially critical in CI/CD pipelines, where testing must keep up with rapid release cycles.
Let’s explore how Postman and Newman empower teams—and how software testing training programs integrate these tools to prepare learners for the real-world software industry.
What Is API Testing and Why Does Automation Matter?
API testing focuses on verifying that APIs return the correct response, follow expected standards, and handle errors appropriately. Unlike UI testing, which interacts with graphical elements, API testing works under the surface, ensuring the logic and communication between services are correct.
Key aspects tested include:
- HTTP response codes
- Payload data (JSON, XML)
- Authentication and authorisation
- Performance and load behaviour
- Error handling and edge cases
While manual API testing is possible using tools like cURL or Postman’s interface, it becomes inefficient when APIs change frequently or require regression testing across many environments. Automation allows repetitive tests to be executed quickly and consistently—an essential capability in continuous integration systems.
Postman: More Than a REST Client
Postman began as a simple GUI tool for sending HTTP requests but has since evolved into a full-fledged platform for API development and testing.
Key Features:
- Create and organise collections of API requests
- Add tests using JavaScript snippets directly within requests.
- Use environments to manage variables across different servers (development, staging, production)
- Run pre-request scripts and tests as part of a collection runne.r
- Share workspaces and collaborate with team member.s
A simple example:
pm.test(“Status code is 200”, function () {
pm.response.to.have.status(200);
});
This test validates that a response returns a 200 OK code. Multiply this across dozens or hundreds of endpoints, and it’s clear how Postman can speed up development and testing cycles.
Newman: The Command-Line Companion
While Postman is great for designing and testing APIs interactively, Newman is its command-line counterpart. It allows you to run entire Postman collections as part of CI pipelines or scheduled jobs.
For example, after exporting a collection from Postman, you can run it in your terminal using:
newman run my_collection.json
This enables seamless automation. You can:
- Integrate tests into Jenkins, GitLab, or GitHub Actions
- Generate test reports in HTML or JSON formats
- Chain tests across multiple environments
- Schedule nightly regression runs
In real-world projects, teams often set up automated Newman runs after each code push or pull request. This ensures new changes don’t break existing APIs.
How Postman and Newman Are Used Together
In practice, Postman and Newman form a powerful pair. Postman is used to design, organize, and test API requests in a user-friendly interface. Once finalized, the same collection can be exported and executed via Newman in a CI/CD system—no need to duplicate work or rewrite scripts.
Here’s a sample workflow:
- Developer writes API code
- QA creates a Postman collection with relevant tests
- Collection is exported to JSON
- Newman runs the tests automatically every time the build is updated
This setup encourages a test-first mindset and helps spot bugs early in the development lifecycle.
Training on Real Tools at Professional Institutes
With the rise in demand for API testers who are proficient in tools like Postman and Newman, many technical training programs are adapting their curriculum accordingly. A reputed software testing institute in hyderabad is likely to include dedicated modules on RESTful services, automation frameworks, and practical labs focused on Postman and Newman.
These institutes understand that industry needs more than theoretical testers. They provide:
- Hands-on projects mimicking real client-server environments
- GitHub-based collection management
- Case studies where learners build and test API suites from scratch
- Exposure to integration with tools like Jenkins, Docker, or Postman monitors
A good software testing institute in hyderabad doesn’t stop at teaching the basics. It helps learners understand how to think like automation testers—anticipating edge cases, interpreting server errors, writing reusable tests, and aligning test scripts with business logic.
Real-World Use Case: Travel Booking Platform
Consider a travel app that allows users to search for flights, book tickets, and receive email confirmations. Behind the scenes, dozens of APIs interact—from flight listings and payment gateways to user profiles and cancellation systems.
Using Postman:
- Testers can create a collection simulating the entire user flow (search, book, pay, confirm)
- Write tests to validate each step—ensuring data integrity and correct pricing
Using Newman:
- That collection can be run automatically after each update to the flight listing engine
- If the airline API changes format or returns invalid data, the CI system catches it before production
This kind of setup prevents costly downtimes and boosts user trust—goals every product team strives for.
Career Advantage for Learners
Knowing Postman and Newman gives aspiring testers a significant edge. These tools are in demand across product companies, consulting firms, and agile startups alike. Recruiters look for candidates who understand:
- RESTful APIs and JSON parsing
- How to write meaningful test assertions
- How to collaborate with developers on API behavior
- How to integrate tests in automation pipelines
In fact, many QA job descriptions now list API automation tools as a must-have skill, not just a bonus.
By gaining hands-on practice through structured training programs, learners not only increase their employability but also step confidently into real-world project environments from day one.
Conclusion: The Future is API-First and Automation-Ready
As software architecture moves increasingly toward microservices and API-first design, the role of automated API testing is only going to expand. Tools like Postman and Newman are no longer optional—they are essential.
Learning to use them effectively helps testers:
- Deliver faster, more reliable feedback
- Collaborate better with developers
- Catch bugs early and reduce cost of failure
- Stay relevant in an industry that’s evolving rapidly
For anyone planning a career in quality assurance or test automation, investing time in mastering these tools, mainly through hands-on training, is a strategic step forward.