Playwright Data Driven Testing Tutorial: JSON, CSV & Dynamic Tests (Day 6)
Master Data Driven Testing (DDT) in Playwright to scale your automation framework like a senior QA Engineer! In Day 6 of this Playwright tutorial for beginners, we move away from hardcoded values and learn how to execute the same test block across multiple datasets automatically.
We cover real-world automation practices step-by-step, including how to structure your test data folders, parse JSON files directly, read external CSV data, and write dynamic test loops that generate clean, independent HTML test reports. This approach dramatically cuts down on code duplication and makes your test suite enterprise-ready.
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💻 DOWNLOAD THE TEST DATA & CODE SAMPLES: https://github.com/lukeyang22/playwri...
📌 TIMESTAMPS:
00:00 - Introduction to Data Driven Testing (DDT)
01:05 - Why DDT is Essential for Real-World Frameworks
02:15 - Setting up Your Test Data Folder Structure Best Practices
03:45 - How to Implement Data Driven Testing with JSON Files
05:30 - Reading and Parsing CSV Files in Playwright
07:15 - Writing Dynamic For-Of Loops to Generate Automation Tests
09:00 - Handling Positive vs. Negative Testing Scenarios Dynamically
11:15 - Running DDT Tests and Analyzing Dynamic Reports
13:30 - Common Beginner Data Management Mistakes & Hotfixes
14:45 - Wrap Up & Previewing Day 7
About This Series:
This structured, 30-day Playwright framework series teaches software testers, SDETs, and QA automation engineers how to design scalable, production-ready web automation solutions from scratch.
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