Rate limits

Limit	Applies to	Window
120 requests / minute	Each API key	1 minute

Limit

Applies to

Window

120 requests / minute

Each API key

1 minute

When you exceed the limit

Requests over the limit fail with a rate_limited error:

{
  "error": "rate_limited",
  "message": "Human-readable error message."
}

Wait before retrying, and back off further if you’re limited again:

import time
import requests

def get_with_retry(url, headers, max_attempts=5):
    for attempt in range(max_attempts):
        resp = requests.get(url, headers=headers)
        if resp.ok or resp.json().get("error") != "rate_limited":
            return resp
        time.sleep(min(2 ** attempt, 60))
    raise RuntimeError("still rate limited after retries")

For sustained workloads, spacing out requests — no more than about 2 per second — works better than reacting to errors.

Tips for staying under the limit

Generate proxies in batches. One call to generate proxies with quantity: 100 returns 100 proxy lines. You don’t need 100 calls.

Cache reference data. Package tiers change rarely. Fetch them once and refresh occasionally.

Don’t poll usage in a tight loop. Check package usage on a schedule, for example once a minute, not before every proxy request.

This limit applies to the Customer API only. Proxy traffic through proxy.flameproxies.com has no limits on requests per second or minute, threads, or concurrent connections.

Getting Started

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Code Examples

Troubleshooting

When you exceed the limit

Tips for staying under the limit

Next steps

Error handling

Generate proxies

​When you exceed the limit

​Tips for staying under the limit

​Next steps

Error handling

Generate proxies

When you exceed the limit

Tips for staying under the limit

Next steps