Table of Contents
Table of Contents
As you will discover, API testing is crucial. But with hundreds of testing APIs on the market, it can be challenging and time-consuming to find the best ones. However, you need look no further than the top tools for API testing on RapidAPI, which lists the best API testing tools available and details pros and cons of each one. The top three tools are:
API testing tools allow you to simply test end-to-end behaviour without needing to invest in writing and maintaining user-interface-based testing. Functional API tests follow common user flows and perform calls to instantly validate full user flows in your system and ensure they are functionally supported. That means software problems can be pinpointed quickly to know whether the issues lie in the backend or in the user interface software. Basically, API testing tools can mimic the API calls clients generate, allowing you to identify where a problem in your system originates precisely.
User interface testing is commonly used to test full system flows. However, the problem is, user interfaces change rapidly. That can break the tests and make maintenance a continual concern. On the other hand, APIs are a stable interface. In turn, that means API tests are also more stable. And stability means maintenance costs are lower.
It is not only maintenance costs that are lowered via using API testing tools. They are also quick to build, and less time means less expenditure. The alternative is using unit tests, but building them is very time-consuming. Also, API test automation does not require as much code as GUI automated tests, meaning you get better test coverage and faster results; both of which reduce overall costs. By detecting any errors early on, you also reduce the cost of manual testing.
API tests are not only great for validating code. They are also excellent for monitoring your production system. You can validate that your system is up and running and functioning as required all the time. Also, if you make your API tests encapsulated, you can easily run the tests in multiple environments. An encapsulated test means it is not reliant on pre-existing data to run, so each test should begin by making the API calls required for all subsequent steps. Furthermore, an API testing tool can measure and analyse an API’s latency over time, and you can be alerted if your system breaks or if its performance dramatically degrades.
It should be clear by now that there are many good reasons why you should invest in API testing tools. But unless developers use them appropriately, crucial elements required for the operation of an API could be overlooked. Here are some top tips for API testing.
There could be hundreds of APIs you need to test. So, begin by organising them into categories. By doing that, you can ensure your testing scenarios have high coverage and integration. When you group tests with the same structures, like resource type and path, you can reuse tests, which saves a lot of valuable time.
Although API calls need to be in the right order to work correctly, that ordering creates a sequencing challenge. For instance, if the call to return user profile data goes through before the profile has been created, you will end up with a problem. But you can fix the issue by using a release candidate to manage and view the API sequencing.
The schema is the data formatting that handles requests and responses for your API. Whenever program updates create extra parameters, those changes need to be reflected in the schema configuration. Making those changes can cause downtime for your API, so to avoid that, ensure you test your API in alpha and beta environments.
Validating parameters of API requests can be a daunting task, as you need to make sure all parameter information uses the appropriate string type and numerical information. By using a continuous synthetic API to identify problems early on, you can avoid parameter validation challenges.
All potential parameter request combinations need to be tested to ensure there are no issues concerning specific configurations. You can exponentially add an extra parameter to increase the number of combinations. Select one or two applications and then release the API only for those, and ensure you choose applications that are only essential to your daily operations.
It is crucial you ensure the API tracking system is functioning correctly with the data tracking system. You can then know you are bringing back the correct responses to identify whether calls are working accurately or not. To make sure you do not cause applications to fail, test them in parallel with essential integration systems. You can do that by utilizing load testing in your continuous delivery.
By using API testing tools, you can Identify problems’ origins, provide stability, perform live monitoring, and reduce costs. Therefore, as long as testing is performed in the right way, API testing tools can be crucial to your operations. So, investing in them makes sense.