Rate Limits & Best Practices

This API proxies requests to Roblox's official APIs, which have their own rate limits. To ensure the service remains available for everyone, please follow these guidelines:

Understanding Rate Limits

Rate limits are in place to:

• Prevent abuse and ensure fair usage
• Protect Roblox's servers from overload
• Maintain service stability for all users

Rate Limit Responses

When you exceed rate limits, you may receive:

• HTTP 429 Too Many Requests – Temporary rate limit exceeded
• HTTP 503 Service Unavailable – Service temporarily overloaded
• Error response with error field describing the issue

Caching responses can significantly reduce API calls and improve performance. Here are recommended caching strategies:

What to Cache

• User profiles – Cache for 5-15 minutes (usernames/display names change infrequently)
• Group memberships – Cache for 1-5 minutes (memberships change occasionally)
• Avatar URLs – Cache for 10-30 minutes (avatars change less frequently)
• Presence data – Cache for 30-60 seconds (presence changes frequently)
• Friend/follower counts – Cache for 2-5 minutes

Cache Implementation Example

Python example with caching:

import requests
import time
from functools import lru_cache

# Simple in-memory cache with TTL
cache = {}
CACHE_TTL = 300  # 5 minutes

def fetch_user_info(username, use_cache=True):
    # Check cache first
    if use_cache and username in cache:
        cached_data, timestamp = cache[username]
        if time.time() - timestamp < CACHE_TTL:
            return cached_data
    
    # Fetch from API
    url = "https://rbx-group-fetcher.dimasuperotovorot3000.workers.dev/"
    response = requests.post(url, json={"username": username})
    data = response.json()
    
    # Store in cache
    if response.status_code == 200:
        cache[username] = (data, time.time())
    
    return data

JavaScript example with localStorage:

const CACHE_TTL = 5 * 60 * 1000; // 5 minutes

async function fetchUserInfo(username, useCache = true) {
    const cacheKey = `user_${username}`;
    
    // Check cache
    if (useCache) {
        const cached = localStorage.getItem(cacheKey);
        if (cached) {
            const { data, timestamp } = JSON.parse(cached);
            if (Date.now() - timestamp < CACHE_TTL) {
                return data;
            }
        }
    }
    
    // Fetch from API
    const response = await fetch('https://rbx-group-fetcher.dimasuperotovorot3000.workers.dev/', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ username })
    });
    
    const data = await response.json();
    
    // Store in cache
    if (response.ok) {
        localStorage.setItem(cacheKey, JSON.stringify({
            data,
            timestamp: Date.now()
        }));
    }
    
    return data;
}

Proper error handling ensures your application gracefully handles failures and rate limits.

Exponential Backoff

When you receive a rate limit error (429), implement exponential backoff:

import time
import random

def fetch_with_retry(username, max_retries=3):
    url = "https://rbx-group-fetcher.dimasuperotovorot3000.workers.dev/"
    
    for attempt in range(max_retries):
        try:
            response = requests.post(url, json={"username": username})
            
            if response.status_code == 429:
                # Rate limited - exponential backoff
                wait_time = (2 ** attempt) + random.uniform(0, 1)
                print(f"Rate limited. Waiting {wait_time:.2f}s...")
                time.sleep(wait_time)
                continue
            
            if response.status_code == 200:
                return response.json()
            
            # Other errors
            response.raise_for_status()
            
        except requests.exceptions.RequestException as e:
            if attempt == max_retries - 1:
                raise
            wait_time = (2 ** attempt) + random.uniform(0, 1)
            time.sleep(wait_time)
    
    raise Exception("Max retries exceeded")

Error Response Handling

Always check for errors in the response:

async function fetchUserInfo(username) {
    const response = await fetch('https://rbx-group-fetcher.dimasuperotovorot3000.workers.dev/', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ username })
    });
    
    const data = await response.json();
    
    if (!response.ok) {
        // Handle different error types
        if (response.status === 400) {
            throw new Error(`Bad Request: ${data.error || 'Invalid parameters'}`);
        } else if (response.status === 404) {
            throw new Error(`User not found: ${username}`);
        } else if (response.status === 429) {
            throw new Error('Rate limit exceeded. Please wait before retrying.');
        } else {
            throw new Error(`API Error: ${data.error || 'Unknown error'}`);
        }
    }
    
    return data;
}

Best Practices

• Always implement timeout handling (e.g., 10-30 seconds)
• Log errors for debugging but don't expose sensitive information
• Use retry logic only for transient errors (429, 503, network failures)
• Don't retry on client errors (400, 404) – these won't succeed on retry
• Implement circuit breakers for repeated failures
• Monitor your request patterns and adjust rate limits accordingly