Playwright with Python #31 - Data-Driven API Testing Using CSV File | Stop Hardcoding Payloads!

Learn Playwright Python API testing with CSV data-driven approach! In this tutorial, master how to read CSV files in Python and dynamically create test payloads for robust automation.
🎯 In this video, you'll learn how to make your API automation tests truly data-driven by reading user data directly from a CSV file instead of using static payloads. We'll write a custom Python function using the csv module's DictReader to convert CSV data into a list of dictionaries, then loop through each record to dynamically build request payloads for the create user API.
This is a must-know skill for QA engineers and automation testers — data-driven testing is widely used in real-world projects to test multiple scenarios efficiently without duplicating code.
📌 KEY TOPICS COVERED:

Reading CSV files using Python's csv module
Creating a custom read_users function with DictReader
Looping through CSV records to build dynamic payloads
Mapping CSV columns (name, email, gender, status) to API payload fields
Running data-driven tests across multiple records
Validating assertions for each CSV row

⏱️ TIMESTAMPS:
00:00 Introduction & Recap of Previous Tutorial
00:25 Reviewing the Previous Static Payload Approach
00:42 Plan: Reading Data from CSV File
00:59 Exploring the users.csv File Structure
01:24 Importing the CSV Module
01:48 Creating the read_users Function
02:23 Opening the CSV File in Read Mode
03:14 Returning Data as a List Using DictReader
04:07 Calling read_users and Passing the File Path
05:07 Looping Through CSV Data to Build Payload
06:06 Mapping CSV Fields to Payload (name, email, gender, status)
07:18 Running the Data-Driven Test
07:50 Test Results Across Multiple CSV Records
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