Follow these guidelines to ensure optimal performance and reliability when integrating with the GG365 Golf API.
Implementing Webhook Handling
Webhooks provide real-time updates about booking status changes. Properly implementing webhook handling ensures your system stays in sync with the GG365 platform.
Webhook Setup
Register your webhook endpoint in your GG365 account dashboard
Implement HTTPS for your webhook endpoint (required for security)
Implementing proper caching reduces API calls and improves performance.
What to Cache
Data
TTL
Notes
Course details
24 hours
Basic course information rarely changes
Course lists
12 hours
New courses are not added frequently
Pricing information
24 hours
May change seasonally, but not daily
Tee time availability
5 minutes
Refresh frequently as availability changes
Booking details
1 hour
May be modified or cancelled
Implementation Example
Code
const cache = new Map();async function getCachedCourseDetails(courseId) { const cacheKey = `course_${courseId}`; const now = Date.now(); if (cache.has(cacheKey)) { const cached = cache.get(cacheKey); if (now - cached.timestamp < 24 * 60 * 60 * 1000) { return cached.data; } } // Cache miss or expired const courseDetails = await api.getCourseDetails(courseId); cache.set(cacheKey, { data: courseDetails, timestamp: now }); return courseDetails;}
Error Handling and Retries
Robust error handling ensures your integration remains reliable even when issues occur.
Retry Strategy for Transient Errors
Code
async function makeApiCallWithRetries(apiCall, maxRetries = 3) { let retries = 0; while (retries < maxRetries) { try { return await apiCall(); } catch (error) { // Don't retry if the error is client-side if (error.status >= 400 && error.status < 500) { // Client error (4xx) if (error.status === 429) { // Rate limit exceeded - wait before retrying const retryAfter = error.data.error.details.retryAfter || 1; await new Promise(resolve => setTimeout(resolve, retryAfter * 1000)); retries++; continue; } // Don't retry other client errors throw error; } // Server error (5xx) - retry with exponential backoff if (retries === maxRetries - 1) { throw error; // Last retry failed } const delay = Math.pow(2, retries) * 1000 + Math.random() * 1000; await new Promise(resolve => setTimeout(resolve, delay)); retries++; } }}
Optimizing API Usage
Batch Operations
Where possible, use batch operations instead of making multiple API calls.
Example: Checking availability for multiple dates
Code
// Good - Use the date range endpointconst dateRange = await api.getAvailabilityDateRange({ courseId: 'course_123', startDate: '2023-07-01', endDate: '2023-07-10'});// Avoid - Making separate calls for each dateconst dates = [];for (let i = 1; i <= 10; i++) { const date = `2023-07-${i.toString().padStart(2, '0')}`; // Don't do this const availability = await api.getTeeTimeAvailability({ courseId: 'course_123', date }); dates.push(availability);}
Pagination
When retrieving large lists, use pagination parameters effectively.
Code
// Fetch all bookings page by pageasync function getAllBookings() { let page = 1; const limit = 100; let allBookings = []; let hasMore = true; while (hasMore) { const response = await api.getBookings({ page, limit, startDate: '2023-01-01' }); allBookings = [...allBookings, ...response.data]; hasMore = response.pagination.currentPage < response.pagination.totalPages; page++; } return allBookings;}
Handling Course-Specific Logic
Different golf courses may have different booking rules and requirements.
Check Course Booking Type
Always check if a course supports online booking before attempting to book:
Code
async function createBookingFlow(courseId, bookingData) { // Get course details first const course = await api.getCourseDetails(courseId); if (course.booking.isOnline) { // Online booking flow const teeTime = await api.getTeeTimeAvailability({ courseId, date: bookingData.date }); // Check if the requested time is available const isAvailable = teeTime.availableTimes.some(t => t.time === bookingData.teeTime && t.available >= bookingData.players ); if (isAvailable) { return await api.createBooking(bookingData); } else { throw new Error('Requested tee time is not available'); } } else { // Offline booking flow return await api.createOfflineBookingRequest(bookingData); }}
Security Best Practices
API Key Management
Store API keys securely in environment variables or a secure vault
Never expose API keys in client-side code
Rotate API keys periodically
Use different API keys for development and production
Protecting User Data
Only collect and send the minimum player information required
Use HTTPS for all API communications
Implement proper access controls for booking data in your system
Testing Your Integration
Test Environment
Use our sandbox environment for testing before moving to production:
Code
Base URL: https://api-sandbox.golfglobe365.com/v1
Test Courses
Course ID
Description
Booking Type
test_course_online
Test course with online booking
online
test_course_offline
Test course with offline booking
offline
test_course_error
Test course that simulates errors
online
Monitoring and Logging
What to Log
All API requests and responses (excluding sensitive data)
Error responses with requestIds
Webhook events received
Booking status changes
Monitoring Best Practices
Set up alerts for unusually high error rates
Monitor rate limit usage to avoid hitting limits
Track booking conversion rates (searches to bookings)