Tools & Integrations

OkkProxy supports integration with various third-party tools and frameworks, helping you easily use proxy services in different application scenarios.

Integration Overview

We provide detailed integration tutorials for commonly used tools, including:

Fingerprint Browsers

• AdsPower - Multi-account management and fingerprint browser
• BitBrowser - Cross-border e-commerce fingerprint browser

Automation Frameworks

• Selenium - Web automation testing framework
• Playwright - Modern browser automation tool
• Puppeteer - Node.js browser automation library

Scraping Frameworks

• Scrapy - Python scraping framework
• BeautifulSoup - HTML parsing library
• Requests - HTTP library

Quick Start

Basic Proxy Configuration Format

All tools follow this basic proxy configuration format:

HTTP/HTTPS Proxy:

http://username:[email protected]:8080

SOCKS5 Proxy:

socks5://username:[email protected]:1080

Get Proxy Information

1. Log in to OkkProxy management dashboard
2. Go to "Proxy Management" page
3. Copy your proxy server address
4. Note your username and password

Common Integration Scenarios

Scenario 1: Social Media Management

Manage multiple social media accounts using fingerprint browsers:

1. Choose AdsPower or BitBrowser
2. Configure OkkProxy proxy
3. Assign independent proxy IPs for each account
4. Achieve account isolation and risk control

Scenario 2: E-commerce Operations

Cross-border e-commerce multi-store operations:

1. Use fingerprint browser
2. Configure proxy IPs from different countries
3. Simulate local user access
4. Avoid account association

Scenario 3: Data Collection

Large-scale data scraping:

1. Use Scrapy or Selenium
2. Configure proxy pool
3. Implement IP rotation
4. Improve collection efficiency

Scenario 4: Price Monitoring

Monitor competitor prices:

1. Use Playwright or Puppeteer
2. Scrape price information periodically
3. Use proxies to avoid being blocked
4. Store and analyze data

Integration Support

Technical Support

If you encounter issues during integration:

• 📖 Check detailed Integration Tutorials
• 💬 Contact online customer service for help
• 📧 Send email to [email protected]
• 🎓 Watch video tutorials (coming soon)

Custom Integration

If your tool is not in our tutorial list:

1. Check your tool's proxy configuration documentation
2. Use standard HTTP/SOCKS5 proxy format
3. Contact us for technical support
4. We can write integration tutorial for your tool

Best Practices

1. IP Rotation Strategy

import random
import time

class ProxyRotator:
    def __init__(self, proxies):
        self.proxies = proxies
        self.current_index = 0

    def get_next_proxy(self):
        proxy = self.proxies[self.current_index]
        self.current_index = (self.current_index + 1) % len(self.proxies)
        return proxy

    def get_random_proxy(self):
        return random.choice(self.proxies)

# Usage example
proxies = [
    'http://user:[email protected]:8080',
    'http://user:[email protected]:8080',
    'http://user:[email protected]:8080',
]

rotator = ProxyRotator(proxies)

2. Error Handling and Retries

import requests
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry

def create_session_with_retries():
    session = requests.Session()
    retry = Retry(
        total=3,
        backoff_factor=0.5,
        status_forcelist=[500, 502, 503, 504]
    )
    adapter = HTTPAdapter(max_retries=retry)
    session.mount('http://', adapter)
    session.mount('https://', adapter)
    return session

3. Request Rate Control

import time
from datetime import datetime, timedelta

class RateLimiter:
    def __init__(self, max_requests, time_window):
        self.max_requests = max_requests
        self.time_window = time_window
        self.requests = []

    def wait_if_needed(self):
        now = datetime.now()
        # Remove requests outside time window
        self.requests = [req_time for req_time in self.requests
                        if now - req_time < timedelta(seconds=self.time_window)]

        if len(self.requests) >= self.max_requests:
            sleep_time = (self.requests[0] + timedelta(seconds=self.time_window) - now).total_seconds()
            if sleep_time > 0:
                time.sleep(sleep_time)

        self.requests.append(now)

# Max 100 requests per minute
limiter = RateLimiter(max_requests=100, time_window=60)

4. User-Agent Rotation

user_agents = [
    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36',
    'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36',
]

import random

headers = {
    'User-Agent': random.choice(user_agents)
}

Performance Optimization Tips

1. Use Connection Pool

import requests
from requests.adapters import HTTPAdapter

session = requests.Session()
adapter = HTTPAdapter(pool_connections=100, pool_maxsize=100)
session.mount('http://', adapter)
session.mount('https://', adapter)

2. Async Requests

import asyncio
import aiohttp

async def fetch(session, url, proxy):
    async with session.get(url, proxy=proxy) as response:
        return await response.text()

async def main():
    proxy = 'http://user:[email protected]:8080'
    async with aiohttp.ClientSession() as session:
        tasks = []
        for url in urls:
            task = fetch(session, url, proxy)
            tasks.append(task)
        results = await asyncio.gather(*tasks)
        return results

# Run
results = asyncio.run(main())

3. Caching Mechanism

from functools import lru_cache
import requests

@lru_cache(maxsize=128)
def fetch_with_cache(url, proxy):
    response = requests.get(url, proxies={'http': proxy, 'https': proxy})
    return response.text

Monitoring and Logging

1. Request Logging

import logging

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - %(message)s',
    handlers=[
        logging.FileHandler('proxy_requests.log'),
        logging.StreamHandler()
    ]
)

logger = logging.getLogger(__name__)

def make_request(url, proxy):
    logger.info(f'Making request to {url} via {proxy}')
    try:
        response = requests.get(url, proxies={'http': proxy})
        logger.info(f'Success: {response.status_code}')
        return response
    except Exception as e:
        logger.error(f'Error: {str(e)}')
        raise

2. Performance Monitoring

import time

class PerformanceMonitor:
    def __init__(self):
        self.metrics = {
            'total_requests': 0,
            'successful_requests': 0,
            'failed_requests': 0,
            'total_time': 0
        }

    def record_request(self, success, duration):
        self.metrics['total_requests'] += 1
        self.metrics['total_time'] += duration

        if success:
            self.metrics['successful_requests'] += 1
        else:
            self.metrics['failed_requests'] += 1

    def get_stats(self):
        avg_time = self.metrics['total_time'] / self.metrics['total_requests']
        success_rate = self.metrics['successful_requests'] / self.metrics['total_requests']

        return {
            'average_response_time': avg_time,
            'success_rate': success_rate * 100,
            **self.metrics
        }

FAQ

What if connection times out?

• Increase timeout settings
• Check proxy server status
• Try changing proxy nodes

How to improve success rate?

• Use high-quality residential IPs
• Implement smart retry mechanism
• Control request frequency
• Simulate real user behavior

How to reduce costs?

• Choose appropriate plans
• Optimize request strategy
• Use caching to reduce duplicate requests
• Avoid invalid requests

Next Steps

Choose the tool you use and view detailed integration tutorials:

• AdsPower Integration Tutorial
• BitBrowser Integration Tutorial
• Selenium Integration Tutorial
• Playwright Integration Tutorial
• Puppeteer Integration Tutorial

Need help? Contact Us