API Testing
Data Driven Testing

Iterate Using Data Files

The Collection Runner feature allows you to iterate over data files, making it easy to automate and manage data-driven requests. Bruno supports both CSV and JSON files for running requests, so you can efficiently run tests or process multiple data inputs.

Introduction

In this tutorial, we'll explore the Collection Runner feature, which enables you to run collections using custom data for each iteration.

Steps to Get Started

  1. Open the Bruno app.
  2. Create a collection called runner-example
  3. Create a POST request and name it runner-request
  4. Use the URL: https://reqres.in/api/users
  5. Select the JSON format for the request body and add the following data:
{
    "name": "morpheus",
    "job": "leader"
}

Selecting the JSON option for the request body and adding JSON data is optional.

Using the Collection Runner

We will create a sample data file csv-example.csv that includes input fields such as name and job to be used in data-driven testing. You need to create a CSV or JSON file according to the specific requirements of the API you're working with.

Since the API in this case expects two data inputs name and job the file should contain these fields. Here's an example of how to structure your data:

1. CSV Format Example
A sample CSV file might look like this:

 
name, job
John Doe, Software Engineer
Jane Smith, Product Manager
Mark Lee, Data Scientist

2. JSON Format Example
A sample JSON file might look like this:

[
  { "name": "John Doe", "job": "Software Engineer" },
  { "name": "Jane Smith", "job": "Product Manager" },
  { "name": "Mark Lee", "job": "Data Scientist" }
]

Now you're ready to use the Collection Runner. You can access it in two ways:

Using the Bruno App

  1. Click on the runner icon in the right-hand navbar.
  2. Check the Run with Parameters option.
  3. Select the file type: CSV or JSON.
  4. Click Run Collection.

Once the execution is complete, you can review the results for each individual request and check their statuses.

Using the Bruno CLI

  1. Navigate to the root directory of your Bruno collection.

  2. Run the following command:

   bru run --reporter-html results.html --csv-file-path /path/to/csv/file.csv

or

   bru run --output results.html --format html --csv-file-path /path/to/csv/file.csv

It will create a results.html file in your Bruno collection's root directory. You can view this file in your browser.

Command Overview

  1. --reporter-html results.html: Generates a human-readable HTML report.
  2. --csv-file-path /path/to/csv/file.csv: Specifies the path to the CSV file you want to use.

Bruno CLI Overview

AssertionsOverview