HTTP 429 Too Many Requests
Rate limit exceeded. The client has sent too many requests in a given time period.
Too Many Requests
Rate limit exceeded. The client has sent too many requests in a given time period.
What Causes HTTP 429?
- Exceeded API rate limit (X requests per minute/hour/day)
- Too many concurrent requests from the same client
- Burst of traffic triggering rate limiting
- No rate limiting retry-backoff implemented
Code Examples
See how HTTP 429 responses look in different programming languages and tools.
curl -X GET https://api.example.com/resource
# After many rapid requests:
# Response: 429 Too Many Requests
# Retry-After: 60How to Fix HTTP 429
- Implement exponential backoff and retry logic
- Reduce request frequency to stay within rate limits
- Check Retry-After header and wait before retrying
- Request higher rate limits from the API provider
- Use connection pooling to reduce overhead
- Cache responses to minimize API calls
Related Status Codes
The request was malformed or invalid. The server cannot process it.
Authentication is required. The client must provide valid credentials.
The server understood the request but refuses to authorize it. Authentication won't help.
The server encountered an unexpected condition that prevented it from fulfilling the request.
The server received an invalid response from an upstream server while acting as a gateway.
The server is temporarily unable to handle the request due to maintenance or overload.
Test Your APIs
Frequently Asked Questions
What does HTTP 429 mean?
Rate limit exceeded. The client has sent too many requests in a given time period.
What causes HTTP 429?
Exceeded API rate limit (X requests per minute/hour/day). Too many concurrent requests from the same client. Burst of traffic triggering rate limiting. No rate limiting retry-backoff implemented
How to fix HTTP 429?
Implement exponential backoff and retry logic. Reduce request frequency to stay within rate limits. Check Retry-After header and wait before retrying. Request higher rate limits from the API provider. Use connection pooling to reduce overhead. Cache responses to minimize API calls