This comprehensive API testing and automation framework demonstrates advanced QA methodologies through Postman automation, JavaScript scripting, and data-driven testing. Built to ensure reliable API validation across complex backend systems through intelligent test automation, regression testing, and comprehensive response validation.
A robust solution for professional QA workflows suitable for enterprise applications, mobile backends, and web API testing across various industries including fintech, e-commerce, and modern development environments.
- Advanced Postman Automation with custom JavaScript test scripts
- Data-driven testing using CSV datasets for bulk test execution
- Intelligent response validation beyond basic status code checking
- Dynamic content handling for timestamps, IDs, and variable data
- Regression testing automation ensuring feature stability
- Comprehensive test case design covering positive/negative scenarios
- Deep object comparison for complex JSON response structures
- Configurable test parameters for different testing environments
- Detailed test reporting with mismatch identification and debugging logs
- Scalable test architecture supporting collection, folder, and request-level testing
- Manual testing validation with automated comparison baselines
- Bug-free delivery focus through systematic response verification
- Test coverage optimization with flexible ignore patterns
- Agile-ready testing with fast feedback loops and CI/CD compatibility
Category | Technologies & Tools |
---|---|
API Testing | Postman, REST API Testing, JavaScript |
Testing Approaches | Manual Testing, Automated Testing, Regression Testing |
Data Management | CSV-driven testing, Dynamic content handling |
Programming | JavaScript, JSON manipulation, Regular expressions |
Quality Processes | Test case design, Bug identification, Test reporting |
Platform Coverage | Backend APIs, Mobile app APIs, Web services |
This framework is designed for enterprise-grade testing of modern applications:
- API endpoint validation and testing
- Payment processing systems validation
- Mobile application backends (Android & iOS)
- Real-time data synchronization testing
- Third-party integration API validation
📁 api-testing-framework/
├── 📁 scripts/ # Core automation scripts
│ ├── pre.js # Pre-request data processing
│ └── test.js # Advanced response validation
├── 📁 examples/ # Implementation examples
│ ├── preRequestExample.js # Request body creation
│ └── TestRequestExample.js # Test configuration samples
├── 📁 guides/ # Testing methodology guides
│ ├── pre-request.md # Pre-request script guide
│ ├── test-guid.md # Test script implementation
│ └── useStructure.md # Framework structure guide
├── 📁 step-by-step/ # Quick start implementation
│ ├── step-1.md # Setup & configuration
│ ├── step-2.md # Test script implementation
│ └── step-3.md # CSV data management
└── 📁 presentation/ # Documentation & guides
├── CSVguid.pdf # Data-driven testing guide
├── presentation-preRequest.pdf
└── presentation-testScript.pdf
- Deep comparison algorithms for nested JSON objects and arrays
- Dynamic field exclusion (timestamps, unique IDs, session tokens)
- Path-specific ignoring for known variable content
- Type-based filtering for flexible test scenarios
- CSV-based test data management for bulk testing scenarios
- Automated request body generation from structured data
- Empty field handling and data cleaning automation
- Environment variable management for test data persistence
- Detailed mismatch logging with exact field path identification
- Console debugging output for real-time test monitoring
- Comprehensive difference tracking for regression analysis
- Clear pass/fail indicators with actionable error messages
// Flexible test configuration for different scenarios
const config = {
ignoredFields: ["sessionId", "timestamp", "uniqueId"],
ignoredPaths: ["response.data[0].transactionId"],
ignoredFieldTypes: ["timestamp", "uuid"],
fieldsToClean: ["errorMessage", "statusDescription"]
};
// Automated CSV data processing and request body generation
let csvData = pm.iterationData.toObject();
let requestBody = createOptimizedRequestBody(csvData);
pm.environment.set("requestBody", JSON.stringify(requestBody));
// Intelligent response comparison with dynamic content handling
let expectedResult = JSON.parse(csvData.ExpectedResponse);
let actualResponse = pm.response.json();
let differences = performDeepComparison(expectedResult, actualResponse);
- Load CSV test datasets with multiple scenarios
- Execute automated test runs with comprehensive validation
- Generate detailed reports for manual review and bug identification
This framework provides comprehensive testing solutions for:
- ✅ API reliability through backend validation
- ✅ Mobile application quality via API layer testing
- ✅ Web application stability through API integration verification
- ✅ Automated regression testing for stable releases
- ✅ Quality assurance through comprehensive test coverage
- ✅ Development efficiency with fast feedback cycles
Suitable for various development scenarios:
- Mobile app backend testing (cross-platform APIs)
- Financial transaction validation and processing
- Messaging and notification systems testing
- Cross-platform data synchronization validation
- Enterprise workflow APIs and business logic testing
Nayan Mandal
📧 GitHub: @9keystrokes