Best API Automation Testing Tools in 2024
Over the past few years, APIs have become the centre of software development. For example, you can use APIs to communicate between systems and exchange data. Today, majority applications are API-based. API testing allows teams to begin testing an application’s core functionality before the user interface is ready and identify errors. If identified later, these errors can be costly to fix, requiring large amounts of code to be rewritten, along with delaying the product’s release. As different testing teams have varying needs, choosing the ideal testing tool or a combination of them considering specific requirements is necessary. We’ve listed the best API testing tools to help you pick ‘the one’ for work! Best API Automation Testing Tools Tool NameBest ForPricePostmanAPI developmentFree plan availableInsomniaAPI designFree plan availableTestim AutomateAI-powered test automationFreemium modelSoapUISOAP and REST API testingOpen SourceREST AssuredJava-based API testingFree and open-sourceKarate DSLUnified test automationOpen SourceHoppscotchLightweight and agile API testingFree and open-sourceCitrus FrameworkAutomated integration testingFree and open-sourceKatalon StudioComprehensive APIFree plan availableApache JMeterLoad testing and performance measurementFree and open-source 1. Postman The most known name in the domain, Postman, allows setting up a collection and using Newman to run it. It is a browser plug-in for Google Chrome and has assertion capabilities. Postman has a rich interface, making it easy to use and the best possible choice for non-coders. The tool can be used for both automation and exploratory testing. Key Highlights User-friendly GUI for creating and managing API requests. Supports various authentication methods. Powerful request builder and response validator. Ability to create test scripts using JavaScript. Collection runner for automating multiple requests. Environment variables for easy configuration management. 2. Insomnia Insomnia is a well-known REST client for Mac, Windows, and Linux. It can be used for testing RESTful as well as GraphQL APIs. The free, cross-platform desktop framework incorporates a user-friendly interface and offers features like security helpers, code creation, and environment variables. Key Highlights Clean and intuitive interface Support for GraphQL and gRPC Real-time collaboration features Plugin system for extending functionality Data generation tools Git sync for version control 3. Testim Automate Testim makes it easy to create and execute automated tests for APIs. Moreover, it provides a range of assertions and verifications that can be used to validate the results of your API tests. This tool allows developers to create API tests with an automated, easy-to-use graphical interface. Key Highlights AI-powered test creation and maintenance Codeless test authoring Cross-browser testing capabilities Integration with CI/CD pipelines Advanced debugging tools Test stability through AI-driven smart locators 4. Soap UI This feature-rich tool enables testing web services REST and SOAP APIs. The free package grants users access to the full source code, and the fixed package lets you take API testing a bit further. For interactive/exploratory testing, Soap UI is a particularly great tool. Moreover, since it is Java-based, it works with majority operating systems. Key Highlights Comprehensive support for SOAP and REST APIs Drag-and-drop test creation Data-driven testing capabilities Security testing features Load testing functionality 5. REST Assured The Java library for testing and validating the Restful Web Services supports Behavior-Driven Development (BDD) syntax like Given, When, and Then notations. In addition, it also helps integrate with testing frameworks like Junit or TestNG. Key Highlights Java-based DSL for easy test writing Seamless integration with testing frameworks like JUnit Support for various authentication schemes Response validation using Hamcrest matchers JSON and XML parsing capabilities Extensible architecture 6. Karate DSL Karate DSL allows testing REST APIs using domain-specific language. With this tool, it’s possible to create tests that verify the status and compare response JSON without losing the readability of the spec code. Key Highlights Combines API test automation, mocks, and performance testing Readable syntax using Gherkin-inspired language No coding required for basic tests Built-in support for JSON and XML manipulation Parallel execution capabilities Reporting and logging features 7. Hoppscotch A highly customisable tool that has gained significant popularity over the past few months. It has a clean and modern UI that makes creating API requests fast and easy. So, if you don’t want to install hassle-bloated software on your machine, this tool is for you. Key Highlights Lightweight and fast web-based interface Support for multiple request types (REST, GraphQL, WebSockets) Real-time collaboration Environment and variable management Code generation for multiple languages PWA support for offline usage 8. Citrus Framework The Citrus Framework stands out as an excellent API testing tool due to its comprehensive support for various messaging protocols and data formats. It excels in simulating complex integration scenarios, allowing developers to test APIs, web services, and messaging interfaces with ease. Citrus offers powerful validation capabilities, supports multiple programming languages, and integrates seamlessly with popular testing frameworks like JUnit and TestNG. Its ability to create end-to-end test scenarios, coupled with extensive reporting features, makes it an ideal choice for thorough and efficient API testing in enterprise environments. Key Highlights Comprehensive integration testing for various messaging protocols Simulates surrounding systems and services Extensive validation options for different message formats Database interaction capabilities Parallel test execution Reporting and test documentation features 9. Katalon Studio Katalon Studio excels as an API testing tool due to its versatility and user-friendly approach. It offers a comprehensive platform that seamlessly integrates API, web, and mobile testing, making it ideal for diverse projects. With its intuitive interface, built-in keywords, and support for both codeless and scripted testing, Katalon Studio caters to testers of all skill levels. Its robust reporting, CI/CD integration, and data-driven testing capabilities further enhance its effectiveness in creating and maintaining efficient API testing workflows. Key Highlights Unified platform for API, web, and mobile testing Record and playback functionality Built-in keywords for common testing actions Integration with popular CI/CD tools Data-driven testing capabilities Robust reporting and analytics 10. Apache JMeter Apache JMeter is an exceptional API testing tool due to its versatility, robustness, and open-source nature. It supports a wide range of protocols, including HTTP, HTTPS, SOAP, and REST, making it suitable for diverse testing needs. JMeter excels in load and performance testing, allowing users to simulate high traffic loads and analyze API behavior under various conditions. Its extensive plugin ecosystem and scriptable samplers enhance customisation and scalability, while its cross-platform compatibility ensures broad. Key Highlights Powerful load testing and performance measurement tool Support for various protocols and applications Highly extensible through plugins Distributed testing capabilities Built-in reporting and result analysis Scriptable sampler using BSF languages (e.g., JavaScript)
Discover the best API automation tools for seamless testing and development. Compare features, pricing, and use cases to find the perfect solution for your needs.
API testing allows teams to begin testing an application's core functionality before the user interface is ready and identify errors.
["developer tools", "postman api"]
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["AI", "ML", "analytics", "RAG", "R", "JavaScript", "Go", "Java", "Scala", "Git"]
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.