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The meetergo API implements rate limiting to ensure fair usage and system stability.

Rate Limits

Limits are applied per API key.

Rate Limit Response

When you exceed the rate limit, you’ll receive:

Handling Rate Limits

Exponential Backoff

Implement exponential backoff for 429 responses:

Python Example

Best Practices

Batch Operations

Instead of making many individual requests, batch where possible:

Cache Responses

Cache responses that don’t change frequently:

Request Queuing

Queue requests to stay within limits:

Spread Requests Over Time

Avoid bursting all requests at once:

Monitoring

Track Request Counts

Monitor your API usage:

Log Rate Limit Errors

Track when you hit rate limits:

Summary

Stay under 100 requests/minute for consistent performance
Implement exponential backoff for 429 responses
Cache when possible to reduce unnecessary requests
Queue requests for bulk operations
Monitor usage to catch issues early