3분 소요
API Rate Limit란 무엇인가요?
An API rate limit is a restriction on the maximum number of API requests a client can make within a defined time window. Rate limits protect servers from overload, ensure fair resource distribution among users, and prevent abuse of API services.
What is an API Rate Limit?
An API rate limit is a policy enforced by an API provider that caps how many requests a client can send within a specific time period — for example, 100 requests per minute or 10,000 requests per day. When a client exceeds the limit, the API returns an HTTP 429 (Too Many Requests) status code, temporarily blocking further requests.
Why Rate Limits Exist
API providers impose rate limits for several reasons:
How Rate Limiting Works
Rate limiting typically uses one of these algorithms:
Rate Limit Headers
Most APIs communicate rate limit status through response headers:
X-RateLimit-Limit: Maximum requests allowed in the window.X-RateLimit-Remaining: Requests remaining in the current window.X-RateLimit-Reset: Timestamp when the window resets.Retry-After: Seconds to wait before retrying (included with 429 responses).Handling Rate Limits in Automation
When building automations that call rate-limited APIs:
왜 중요한가요
Rate limits are a reality of every API-dependent automation. Hitting rate limits causes workflow failures, data gaps, and delays. Understanding rate limiting patterns and building resilient handling into your automations is essential for reliable, production-grade workflows.
Autonoly는 어떻게 해결하나요
Autonoly handles API rate limiting automatically. Built-in retry logic with exponential backoff, Retry-After header parsing, and request queuing ensure your workflows respect rate limits without failing. The platform monitors rate limit headers and throttles requests proactively, so you can build workflows without worrying about 429 errors.
자세히 보기예시
A workflow hitting Shopify's API rate limit of 2 requests per second and automatically backing off with exponential delays until capacity is available
Monitoring X-RateLimit-Remaining headers to proactively slow down a bulk data sync before hitting the ceiling
Batching 500 individual CRM updates into 10 bulk API calls to stay within a 60-requests-per-minute rate limit
자주 묻는 질문
What happens when you exceed an API rate limit?
The API returns an HTTP 429 (Too Many Requests) status code, typically with a Retry-After header indicating how long to wait. Your request is not processed, and you must retry after the specified delay. Persistent violations may result in temporary or permanent IP blocking.
How do I avoid hitting API rate limits in my automation?
Implement exponential backoff for retries, respect Retry-After headers, batch operations where possible, cache responses to avoid redundant calls, and spread requests over time rather than sending bursts. Automation platforms like Autonoly handle these strategies automatically.