That’s where Keploy comes in. In this blog, we’ll walk through the benefits and process of testing Keploy with Postman to simplify, automate, and supercharge your API testing workflow.
Why Use Keploy with Postman?
Postman is great for sending requests, verifying responses, and organizing test collections. But it requires you to write test cases manually and does not automatically generate mocks or end-to-end tests. This is where Keploy complements Postman beautifully.
When you're testing your APIs with Postman, Keploy can record those API calls, automatically create test cases, and even mock the dependent services—like databases or third-party APIs.
How the Integration Works:
- You use Postman as usual to test your APIs.
- Keploy sits between your API and the outside world, capturing every request, response, and dependency.
- Keploy then converts this data into executable test cases and mocks—without any additional scripting!
Getting Started: Testing Keploy with Postman
Let’s walk through how you can start testing Keploy with Postman in just a few steps.
Step 1: Install and Set Up Keploy
If you haven’t already, head to Keploy.io and follow the documentation to install Keploy for your language of choice (currently supports Go and Java).
Install Keploy CLI:
curl -sSfL https://get.keploy.io/install.sh | sh
Run your API through Keploy by prefixing it with the Keploy CLI command.
Example (for Go apps):
keploy record -- ./your-app
This puts Keploy into recording mode.
Step 2: Run Your Postman Tests
With Keploy running in the background, open your Postman collections and run your usual test suite:
- Send GET, POST, PUT, DELETE requests.
- Validate the API responses.
- Check error handling, auth flows, edge cases, etc.
As you run these tests in Postman, Keploy captures all the traffic and underlying dependencies (like DB calls and external API responses).
Step 3: Auto-Generate Test Cases
Once your Postman test execution is complete, Keploy saves those calls and responses in the form of test cases (keploy/testReports).
You’ll see:
- Request and response payloads
- Status codes and headers
- Dependency calls (e.g., to a database or payment gateway)
This means you now have a full suite of real-world test cases created just by using Postman!
Step 4: Replay with Keploy
Now, stop your application and replay the tests using Keploy’s test mode:
keploy test -- ./your-app
Keploy replays all the API calls captured during your Postman session and validates the responses—while using mocked dependencies. This makes your test runs faster, more stable, and completely independent of external services.
Benefits of Testing Keploy with Postman
???? Zero Manual Test Writing
Every API you test with Postman is automatically turned into a reproducible test by Keploy. This eliminates the need to write scripts or hard-code assertions.
???? Mocks Built In
Keploy records and mocks all dependencies—so your tests run even if your database, cache, or third-party service is offline.
???? CI/CD Integration
You can easily integrate these tests into your CI/CD pipeline, ensuring no API changes slip through without being tested.
???? Better Coverage
Since Keploy uses real traffic captured from Postman, your tests naturally cover more edge cases and real-world usage patterns.
Real-World Use Case
Let’s say you're building an e-commerce API. You test the /checkout endpoint using Postman, which hits the payment gateway, updates the database, and logs events.
Keploy captures:
- The entire API request/response
- The database write query
- The third-party payment API interaction
Later, even if Stripe’s sandbox is down or your DB changes, you can replay that scenario locally or in CI—thanks to Keploy’s auto-generated mocks.
Conclusion: Postman + Keploy = Testing Superpowers
If you’re already using Postman to test your APIs, you’re halfway to powerful automation. By testing Keploy with Postman, you take your workflow to the next level—automatically generating tests and mocks without writing a line of extra code.
This combination empowers developers to:
- Catch bugs earlier
- Reduce flaky tests
- Boost confidence in releases
So stop manually maintaining brittle test suites and start capturing real-world API behavior with ease.
???? Try it out today:
Happy testing!