Advanced Guides

Master advanced CAPTCHA solving techniques, optimization strategies, and best practices for high-volume production environments.

Performance Optimization

Request Batching

For high-volume applications, batch your CAPTCHA solve requests to reduce latency:

// Batch multiple CAPTCHAs
const results = await Promise.all([
  solveCaptcha(task1),
  solveCaptcha(task2),
  solveCaptcha(task3),
])

Connection Pooling

Reuse HTTP connections for better performance:

const agent = new https.Agent({
  keepAlive: true,
  maxSockets: 50,
})

// Use agent in your requests

Error Handling & Retries

Exponential Backoff

Implement smart retry logic for failed requests:

async function solveWithRetry(task, maxRetries = 3) {
  for (let i = 0; i < maxRetries; i++) {
    try {
      return await solveCaptcha(task)
    } catch (error) {
      if (i === maxRetries - 1) throw error
      await delay(Math.pow(2, i) * 1000) // Exponential backoff
    }
  }
}

Rate Limiting

Implement client-side rate limiting to stay within API quotas:

import pQueue from 'p-queue'

const queue = new pQueue({
  concurrency: 10, // Max 10 concurrent requests
  interval: 1000,  // Per second
  intervalCap: 50, // Max 50 requests per second
})

// Queue your solves
await queue.add(() => solveCaptcha(task))

Cost Optimization

Smart Caching

Cache CAPTCHA solutions when appropriate (e.g., reCAPTCHA v3 tokens):

const cache = new Map()

async function getCachedSolution(sitekey, action) {
  const key = `${sitekey}:${action}`
  
  if (cache.has(key)) {
    const { token, expires } = cache.get(key)
    if (Date.now() < expires) return token
  }
  
  const token = await solveRecaptchaV3(sitekey, action)
  cache.set(key, { token, expires: Date.now() + 110000 }) // Cache for 110s
  return token
}

Fallback Strategies

Implement fallback logic for high-priority flows:

async function solveWithFallback(task) {
  try {
    return await solveCaptcha(task)
  } catch (error) {
    // Fallback to manual solving or alternative provider
    return await manualSolve(task)
  }
}

Monitoring & Observability

Success Rate Tracking

Monitor your solve success rates:

let total = 0, success = 0

async function trackSolve(task) {
  total++
  try {
    const result = await solveCaptcha(task)
    success++
    console.log(`Success rate: ${(success/total*100).toFixed(2)}%`)
    return result
  } catch (error) {
    console.error('Solve failed:', error)
    throw error
  }
}

Security Best Practices

• Never expose API keys in client-side code - Always proxy through your backend
• Rotate keys regularly - Generate new API keys every 90 days
• Use environment-specific keys - Separate keys for dev/staging/prod
• Monitor for abuse - Set up alerts for unusual usage patterns

Scaling to Production

Distributed Architecture

For large-scale deployments, distribute CAPTCHA solving across multiple workers:

• Use a message queue (Redis, RabbitMQ) for task distribution
• Implement worker auto-scaling based on queue depth
• Add circuit breakers to prevent cascading failures
• Monitor latency and success rates per worker

Need More Help?

For specific use cases or custom integrations, contact our support team at [email protected]