Highly Concurrent Crawler IP Solution: IP Pool Architecture for Millions of Requests

Practical experience: how to carry a million crawlers blocked?

Last year to help an e-commerce platform to do competitor monitoring, the peak of 200 + requests per second, just run half an hour IP was all blocked. This thing let me understand:Crawlers without a reliable proxy pool are like naked athletes. Later, we used ipipgo's dynamic residential proxy to build a distributed IP pool to handle 8.7 million requests stably for 3 consecutive days, and here we are pulling out the core solution for you.

IP Pool Architecture Triple Axe

Million-dollar requests don't think about going it alone, you have to play combinations:

Code Practice: Intelligent Switching Proxy

This Python example implements a smart switching policy that automatically switches proxy types when a request fails:

import requests
from random import choice

 ipipgo proxy configuration (remember to replace it with your own credentials)
proxy_pool = {
    'dynamic': 'http://user:pass@gateway.ipipgo.com:端口', 'static': 'http://user:pass@gateway.ipipgo.com:端口'
    'static': 'socks5://user:pass@static.ipipgo.com:端口'
}

def smart_request(url).
    for _ in range(3): retry 3 times
        proxy_type = 'dynamic' if 'login' in url else 'static'
        
                   'https': proxy_pool[proxy_type]}

        try.
            resp = requests.get(url, proxies=proxies, timeout=15)
            if resp.status_code == 200.
                return resp.text
        except Exception as e.
            print(f'Request failed to switch proxies automatically: {str(e)}')
            continue
    return None

Killer app for ipipgo.

Why choose him? We tested and compared three service providers:

Dynamic Residential AgentsSimply built for high concurrency, the 90 million IP pool is simply not enough. In particular, theirIP warm-up mechanismThe new IP can quietly visit a few regular websites first, and then be used for core tasks after "maturing", and the blocking rate will be reduced to 60%.

Static Residential AgentsIdeal for scenarios where you need to maintain a session for a long period of time, such as monitoring price fluctuations. Their ISP resources are really pure, we have a collection task that ran for 11 days straight without triggering validation.

Must-see anti-banning tips

1. flow dispersionDon't gripe about a region, spread out your requests to different cities. ipipgo supports city-level targeting, add a &city=random city to the configuration parameter and you're set!

2. Fingerprint Camouflage: don't make the request header too clean, randomly switch User-Agent's remember to encrypt the traffic with their socks5 proxy

3. staggered request: Add a random delay to the crawler, don't open the robberies at exactly the right time. The highest success rate is between 3 and 6 a.m. I'm going to say something like that?

Frequently Asked Questions QA

Q: How big does the IP pool need to be to be adequate?
A: daily request volume of millions of words, the dynamic proxy to prepare 5000 + IP pool, static proxy 200 + enough. ipipgo dynamic package comes with IP automatic expansion, the amount of bursts do not have to add manually!

Q: How to choose between SOCKS5 and HTTP proxy?
A: Grab data with SOCKS5 more secure, ordinary collection of HTTP on the line. ipipgo two protocols are supported, switch in the background on the line!

Q: How can I tell if an agent is exposed?
A：Bury a hidden page in the request and visit this address regularly. If it returns specific content, it means the proxy is normal; if it returns a validation page, change the IP quickly!

Finally said a lesson in tears: do not buy cheap junk proxy, we bought a cheap proxy, the results of 40%IP are blacklisted, the data did not pick up instead of being blocked business servers. Now the team is dead ipipgo on the figure of a save heart, their IP purity can really play, the key time really do not fall off the chain.