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REST API Tester

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Test REST APIs with customizable headers, authentication, and request bodies. Use when debugging API endpoints, testing authentication flows, validating resp...

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About This Skill

# API Tester

Test REST APIs with custom headers, auth, and request bodies.

When to Use

  • Debugging API endpoints during development
  • Testing authentication flows
  • Validating webhook payloads
  • Checking API response times
  • Automating health checks
  • Testing third-party integrations

Quick Start

Simple GET Request

```python import requests

def test_get(url, headers=None): """Test a GET endpoint""" try: response = requests.get(url, headers=headers, timeout=30) return { 'status': response.status_code, 'headers': dict(response.headers), 'body': response.json() if response.headers.get('content-type', '').startswith('application/json') else response.text, 'time': response.elapsed.total_seconds() } except Exception as e: return {'error': str(e)}

# Usage test_get('https://api.github.com/users/octocat') ```

POST with JSON Body

```python def test_post(url, data, headers=None): """Test POST endpoint with JSON body""" default_headers = {'Content-Type': 'application/json'} if headers: default_headers.update(headers) try: response = requests.post( url, json=data, headers=default_headers, timeout=30 ) return { 'status': response.status_code, 'body': response.json() if response.headers.get('content-type', '').startswith('application/json') else response.text } except Exception as e: return {'error': str(e)}

# Usage test_post('https://httpbin.org/post', {'key': 'value'}) ```

Test with Authentication

```python def test_with_auth(url, token=None, username=None, password=None): """Test API with Bearer token or Basic auth""" headers = {} if token: headers['Authorization'] = f'Bearer {token}' elif username and password: import base64 credentials = base64.b64encode(f'{username}:{password}'.encode()).decode() headers['Authorization'] = f'Basic {credentials}' return test_get(url, headers)

# Bearer token test_with_auth('https://api.example.com/data', token='your_token_here')

# Basic auth test_with_auth('https://api.example.com/data', username='admin', password='secret') ```

Full API Test Suite

```python def comprehensive_api_test(base_url, endpoints): """Test multiple endpoints""" results = {} for endpoint, config in endpoints.items(): url = f"{base_url}{config['path']}" method = config.get('method', 'GET') headers = config.get('headers', {}) data = config.get('data') try: if method == 'GET': response = requests.get(url, headers=headers, timeout=30) elif method == 'POST': response = requests.post(url, json=data, headers=headers, timeout=30) elif method == 'PUT': response = requests.put(url, json=data, headers=headers, timeout=30) elif method == 'DELETE': response = requests.delete(url, headers=headers, timeout=30) results[endpoint] = { 'status': response.status_code, 'success': 200 <= response.status_code < 300, 'time': response.elapsed.total_seconds() } except Exception as e: results[endpoint] = {'error': str(e), 'success': False} return results

# Usage endpoints = { 'health': {'path': '/health', 'method': 'GET'}, 'create_user': {'path': '/users', 'method': 'POST', 'data': {'name': 'Test'}}, 'get_user': {'path': '/users/1', 'method': 'GET'} }

comprehensive_api_test('https://api.example.com', endpoints) ```

Common Testing Scenarios

Webhook Testing

```python from flask import Flask, request

def create_webhook_listener(port=5000): """Create local webhook receiver for testing""" app = Flask(__name__) received_data = [] @app.route('/webhook', methods=['POST']) def webhook(): data = request.json received_data.append(data) print(f"Received webhook: {data}") return {'status': 'ok'} @app.route('/received', methods=['GET']) def get_received(): return {'data': received_data} return app

# Run: app.run(port=5000) # Use ngrok to expose: ngrok http 5000 ```

Performance Testing

```python import time

def test_api_performance(url, iterations=10): """Test API response times""" times = [] for _ in range(iterations): start = time.time() requests.get(url, timeout=30) times.append(time.time() - start) return { 'min': min(times), 'max': max(times), 'avg': sum(times) / len(times), 'times': times } ```

Response Validation

```python def validate_response(response, expected_status=200, required_fields=None): """Validate API response structure""" errors = [] if response.get('status') != expected_status: errors.append(f"Expected status {expected_status}, got {response.get('status')}") body = response.get('body', {}) if required_fields: for field in required_fields: if field not in body: errors.append(f"Missing required field: {field}") return { 'valid': len(errors) == 0, 'errors': errors } ```

Dependencies

```bash pip install requests flask ```

Use Cases

  • Generate structured output from specifications or requirements
  • Automate repetitive workflows to save time and reduce errors
  • Debug and troubleshoot issues with structured diagnostic approaches
  • Run automated tests to verify functionality and catch regressions
  • Interact with external APIs for data retrieval and service integration

Pros & Cons

Pros

  • +API-based architecture allows flexible integration with various platforms
  • +Well-structured API patterns for reliable backend development
  • +Handles common backend concerns like error handling and validation

Cons

  • -Requires API key configuration — not free or self-contained
  • -Assumes specific backend architecture patterns that may not match all projects
  • -Error handling patterns may need adaptation for production use

FAQ

What does REST API Tester do?
Test REST APIs with customizable headers, authentication, and request bodies. Use when debugging API endpoints, testing authentication flows, validating resp...
What platforms support REST API Tester?
REST API Tester is available on Claude Code, OpenClaw.
What are the use cases for REST API Tester?
Generate structured output from specifications or requirements. Automate repetitive workflows to save time and reduce errors. Debug and troubleshoot issues with structured diagnostic approaches.

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