API Testing Cheat Sheet: Essential Guide for Developers

Listen to this Post

Featured Image
API testing is a critical aspect of modern software development, ensuring seamless communication between systems. Below is a detailed breakdown of key concepts, tools, and practical commands to master API testing.

Common HTTP Status Codes

  • 200 OK: Request succeeded.
  • 400 Bad Request: Invalid client input.
  • 401 Unauthorized: Missing/invalid credentials.
  • 403 Forbidden: Access denied.
  • 404 Not Found: Resource unavailable.
  • 500 Internal Server Error: Server failure.

Types of API Testing

1. Functional Testing: Validates API behavior.

2. Load Testing: Measures performance under traffic.

3. Security Testing: Identifies vulnerabilities.

4. Integration Testing: Ensures compatibility.

5. Regression Testing: Confirms updates don’t break functionality.

HTTP Methods

  • GET: Retrieve data.
  • POST: Create data.
  • PUT: Update entire resource.
  • DELETE: Remove resource.
  • PATCH: Partial updates.

API Testing Tools

  • Postman: GUI-based API testing.
  • SoapUI: SOAP & REST testing.
  • JMeter: Load/performance testing.
  • RestAssured: Java-based testing.
  • curl: Command-line tool for API requests.

    You Should Know: Practical API Testing Commands & Codes

1. curl Commands for API Testing

 GET Request 
curl -X GET https://api.example.com/users

POST Request (JSON) 
curl -X POST -H "Content-Type: application/json" -d '{"name":"John"}' https://api.example.com/users

DELETE Request 
curl -X DELETE https://api.example.com/users/1

Authentication (Bearer Token) 
curl -H "Authorization: Bearer YOUR_TOKEN" https://api.example.com/protected 

2. Automated API Testing with Python (Requests Library)

import requests

GET Request 
response = requests.get("https://api.example.com/users") 
print(response.status_code, response.json())

POST Request 
payload = {"name": "Alice"} 
response = requests.post("https://api.example.com/users", json=payload) 
print(response.status_code)

Handling Errors 
try: 
response = requests.get("https://api.example.com/invalid") 
response.raise_for_status() 
except requests.exceptions.HTTPError as err: 
print(f"Error: {err}") 

3. JMeter Load Testing (CLI)

 Run JMeter Test Non-GUI Mode 
jmeter -n -t test_plan.jmx -l results.jtl

Generate HTML Report 
jmeter -g results.jtl -o report/ 

4. Security Testing with OWASP ZAP

 Run ZAP Baseline Scan 
docker run -t owasp/zap2docker-stable zap-baseline.py -t https://api.example.com 

5. Postman Newman (CLI Runner)

 Run Postman Collection 
newman run collection.json --environment env.json 

What Undercode Say

API testing is non-negotiable for robust software. Key takeaways:
– Use `curl` for quick manual checks.
– Automate with Python (requests) or Postman.
– Load test with JMeter.
– Secure APIs with OWASP ZAP.
– Monitor logs (journalctl -u your_api_service).

Expected Output:

  • A well-tested API with 95%+ uptime.
  • Automated regression suites.
  • Security-hardened endpoints.

Prediction

API testing will evolve with AI-driven anomaly detection, reducing manual efforts by 40% by 2026.

Relevant URLs:

References:

Reported By: Ashsau Api – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass βœ…

Join Our Cyber World:

πŸ’¬ Whatsapp | πŸ’¬ Telegram