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Karate Test Automation: Data-Driven Testing for Robust APIs
Published in
3 min readDec 18, 2024
In the previous article, you mastered validations and assertions. Now, let’s focus on data-driven testing, a technique that allows you to run tests with multiple sets of input data. This approach reduces redundancy, increases test coverage, and improves reusability.
In this article, you’ll learn:
- Data Tables: Parameterizing tests with built-in tables.
- External Files: Using JSON, CSV, or Excel for test data.
- Dynamic Data Handling: Generating data programmatically.
- Best Practices for Data-Driven Tests: Organizing and managing your datasets.
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1. Parameterized Tests with Data Tables
Karate’s Examples table lets you define test parameters directly in the feature file.
Example: Using a Data Table
Feature: Data-Driven Testing with Examples Table
Scenario Outline: Create multiple posts
Given url 'https://jsonplaceholder.typicode.com/posts'
And request { title: '<title>', body: '<body>', userId: 1 }
When method POST
Then status 201
And match response.title == '<title>'
Examples:
| title | body |
| 'Title 1' | 'Content 1' |
| 'Title 2' | 'Content 2' |
| 'Title 3' | 'Content 3'…
