> brightdata-rate-limits

Implement Bright Data rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Bright Data. Trigger with phrases like "brightdata rate limit", "brightdata throttling", "brightdata 429", "brightdata retry", "brightdata backoff".

fetch
$curl "https://skillshub.wtf/jeremylongshore/claude-code-plugins-plus-skills/brightdata-rate-limits?format=md"
SKILL.mdbrightdata-rate-limits

Bright Data Rate Limits

Overview

Handle Bright Data rate limits and concurrent request limits. Unlike traditional API rate limits, Bright Data limits are per-zone and based on concurrent connections and requests per second. The Web Scraper API trigger endpoint is limited to 20 requests/min and 60 requests/hour.

Prerequisites

  • Bright Data zone configured
  • Understanding of async/await patterns
  • p-queue or similar concurrency library

Instructions

Step 1: Understand Bright Data Rate Limits

ProductConcurrent LimitPer-MinuteNotes
Residential ProxyBased on planNo hard capCharged per GB
Web UnlockerBased on planNo hard capCharged per request
Scraping BrowserBased on plan sessionsNo hard capCharged per session
SERP APIBased on planNo hard capCharged per search
Web Scraper API (trigger)N/A20/min, 60/hrAsync collections
Datasets APIN/A20/minSnapshot requests

Step 2: Implement Concurrent Request Limiter

// src/brightdata/limiter.ts
import PQueue from 'p-queue';

// Match concurrency to your Bright Data plan limits
const scrapeQueue = new PQueue({
  concurrency: 10,       // Max concurrent proxy requests
  interval: 1000,        // Per second
  intervalCap: 20,       // Max 20 requests per second
  timeout: 120000,       // Kill after 2 min
  throwOnTimeout: true,
});

export async function queuedScrape(url: string): Promise<string> {
  return scrapeQueue.add(async () => {
    const client = getBrightDataClient();
    const response = await client.get(url);
    return response.data;
  });
}

// Monitor queue health
scrapeQueue.on('active', () => {
  console.log(`Queue: ${scrapeQueue.size} waiting, ${scrapeQueue.pending} active`);
});

Step 3: Exponential Backoff for Proxy Errors

// src/brightdata/backoff.ts
export async function scrapeWithBackoff(
  url: string,
  config = { maxRetries: 5, baseDelay: 2000, maxDelay: 60000 }
): Promise<string> {
  for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
    try {
      const client = getBrightDataClient();
      const response = await client.get(url);
      return response.data;
    } catch (error: any) {
      const status = error.response?.status;
      const luminatiError = error.response?.headers?.['x-luminati-error'];

      // Only retry on transient errors
      const retryable = [502, 503, 429].includes(status)
        || error.code === 'ETIMEDOUT'
        || luminatiError === 'ip_banned';

      if (attempt === config.maxRetries || !retryable) throw error;

      const delay = Math.min(
        config.baseDelay * Math.pow(2, attempt) + Math.random() * 1000,
        config.maxDelay
      );
      console.log(`[${luminatiError || status}] Retry ${attempt + 1} in ${delay.toFixed(0)}ms`);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Unreachable');
}

Step 4: Web Scraper API Rate Limiter

// src/brightdata/trigger-limiter.ts — 20/min, 60/hr for trigger endpoint
const triggerQueue = new PQueue({
  concurrency: 1,
  interval: 60000,       // Per minute
  intervalCap: 20,       // 20 triggers per minute
});

let hourlyCount = 0;
setInterval(() => { hourlyCount = 0; }, 3600000); // Reset hourly

export async function rateLimitedTrigger(
  datasetId: string,
  urls: string[]
): Promise<any> {
  if (hourlyCount >= 55) { // Leave buffer
    throw new Error('Approaching hourly trigger limit (60/hr). Wait before triggering.');
  }

  return triggerQueue.add(async () => {
    hourlyCount++;
    const response = await fetch(
      `https://api.brightdata.com/datasets/v3/trigger?dataset_id=${datasetId}&format=json`,
      {
        method: 'POST',
        headers: {
          'Authorization': `Bearer ${process.env.BRIGHTDATA_API_TOKEN}`,
          'Content-Type': 'application/json',
        },
        body: JSON.stringify(urls.map(url => ({ url }))),
      }
    );
    return response.json();
  });
}

Step 5: Batch URLs to Minimize Triggers

// Instead of triggering per-URL, batch into single triggers
async function batchTrigger(urls: string[], batchSize = 100) {
  const batches = [];
  for (let i = 0; i < urls.length; i += batchSize) {
    batches.push(urls.slice(i, i + batchSize));
  }

  console.log(`Triggering ${urls.length} URLs in ${batches.length} batches`);

  for (const batch of batches) {
    await rateLimitedTrigger('gd_dataset_id', batch);
  }
}

Output

  • Concurrent request limiter matching plan limits
  • Exponential backoff handling X-Luminati error headers
  • Web Scraper API trigger rate limiter (20/min, 60/hr)
  • URL batching to minimize trigger count

Error Handling

SignalMeaningAction
HTTP 429Concurrent limit exceededQueue requests with p-queue
HTTP 502 + ip_bannedIP blocked by targetRetry (auto-rotates IP)
HTTP 502 + target_site_blockedAnti-bot blockedSwitch to Scraping Browser
ETIMEDOUTConnection timeoutRetry with longer timeout
Hourly trigger limit60 triggers/hr exceededBatch URLs into fewer triggers

Resources

Next Steps

For security configuration, see brightdata-security-basics.

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