Postman Mini-Project | Environment Switching & Data-Driven API Testing with Runner

In this hands-on Postman tutorial, we’ll build a complete mini-project showing how to:
✅ Create multiple environments (QA, Staging)
✅ Switch between environments dynamically
✅ Use CSV/JSON data files to drive API tests
✅ Chain requests and validate responses
✅ Run the entire flow using Postman Collection Runner

00:00 - Intro
00:33 - Scenario overview
01:57 - Deliverables
02:48 - Create multiple environments
06:00 - Create collection
08:02 - Create Login request
14:58 - Create Create user request
19:56 - Create Update user request
22:03 - Create Delete user request
23:34 - Create CSV data file
25:00 - Open and run Collection runner
32:58 - Tips / Common mistakes
TAKE THE QUIZ and let me know your Score - https://forms.gle/5H23NCKhqgScm6Ko6
Scenario Overview: You’re testing a User Registration API in two environments — QA and Staging
Login and get a token
Create multiple users from a CSV/JSON dataset
Update/Verify each created user
Delete them

All requests will be run automatically through the Collection Runner

Tools Used:
Postman
CSV/JSON Files

This reflects real QA automation scenarios where teams run the same collection with different datasets and environments

Deliverables

✅ Environment setup (QA, Staging, Production)
✅ Postman Collection using variables in endpoints and headers
✅ Data file (users.csv or users.json) with multiple user records

End Result:

you can perform data-driven testing for multiple inputs and environments
Builds the core skills required for enterprise-level API automation
Step 1 - Create Multiple Environments
QA → baseUrl = https://reqres.in token = (empty)
Staging → baseUrl = https://reqres.in token = (empty)

✅ You can now switch between QA and Staging using the dropdown

Step 2 - Create a Collection “User Registration Flow - Data Driven”

Step 3,4,5 - Add these requests in order:
Login
Create User
Update User
Delete User

(see video for details of each api request)

Step 6 - Create the CSV File users.csv

name,job
Alice,QA Engineer
Bob,Automation Tester
Charlie,Developer

Step 7 - Run CSV with collection - Open Collection Runner
Collection: User Registration Flow - Data Driven
Environment: QA or Staging
Data File: users.csv

Step 8 - Check flow runs for each row in the CSV:
Token generated once
User created, updated, deleted for each dataset row

Change environment and run again

Step 6 - View Basic Reports
Runner will display:
Total requests
Passed / Failed tests

Test logs and status codes
You can also export results as a JSON report
Tips / Common Mistakes:

✅ Always select the correct environment before running
🧪 Use {{variable}} syntax in both body and scripts
🚫 Don’t forget to include headers (esp. Authorization)
🧭 CSV column names must match the variable names
🔐 Sensitive data like tokens should not be stored in CSV
🔗 Watch next:
👉 Postman Mini-Project | Token-based Authentication Flow in Postman
👉 Postman Mini-Project | Automating API Test Flow with Postman Collections & Runner
#Postman #APITesting #PostmanTutorial
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