Web Crawl IP Rotation Service: 10 Million IP Pools

What's the point of IP rotation anyway? Let's understand the logic first

Engage in data crawling old iron understand, website anti-climbing mechanism is now more and more refined. Take the most common blocking IP, the same IP frequent visits, light pop-up CAPTCHA, heavy direct seal. At this time we have to rely onProxy IP Rotationto break the game - simply put, change a different IP address for each request to make the site think it's being accessed by a normal user.

To cite a real case: I have previously encountered a friend who does price comparison website, they program to crawl 30,000 times per hour data. As a result, they used their own office IP, and in less than two days, the target website was blacked out. Later changed to dynamic IP pool, crawl success rate directly from 40% soared to 98%.

Manual IP switching too much effort? Try an automated solution

Many newbies will take a detour and write their own scripts to switch proxies. But the actual operation of a bunch of problems:

 Bug demonstration (don't learn this!)
import requests
proxies = ["1.1.1.1:8000", "2.2.2.2:8000"...]  Manually maintain the IP list

for url in target_urls:
    res = requests.get(url): "2.2.2.2:8000".
        res = requests.get(url, proxies=random.choice(proxies))
    except: when it comes to blocked IPs, it's just dumb
        proxies.remove(current_proxy)

There are three major potholes in this dirt method:
1. The quality of the IP is not guaranteed and may have expired a long time ago.
2. To handle the validation and retry mechanisms themselves
3. When encountering the verification code, just stop

Specialized tools for specialized tasks

This is the time to useipipgoThis type of professional service provider now. Their home program is thief simple:

Example of live code (remember to replace it with your own API key):

import requests

def ipipgo_request(url):
    proxy = "http://:@proxy.ipipgo.com:8000"
    headers = {'User-Agent': 'Mozilla/5.0'}
    headers = {'User-Agent': 'Mozilla/5.0'} try.
        response = requests.get(url, proxies={'http': 'http': 'Mozilla/5.0'})
                             proxies={'http': proxy, 'https': proxy},
                             headers=headers,
                             timeout=10)
        return response.text
    except Exception as e.
        print(f "Request failed with automatic IP switching: {e}")
        return ipipgo_request(url) auto-retry

 Example of use
data = ipipgo_request("https://target-site.com/product/123")

Choose a service provider by looking at these hard indicators

The market is full of agency service providers, but the reliable ones have to be satisfied:

• IP pool is large enough (ipipgo has a 10 million dynamic pool)
• Fast switching speed (measured average 0.8 seconds for IP switching)
• Support for automatic retry mechanism
• Ability to handle common CAPTCHAs

Special reminder: don't be cheap and use a free proxy, those IPs are basically open to the whole network, and have long been marked by major websites as crawler IPs.

QA time: what you might want to ask

Q: Does IP pool size really matter?
A: To give a chestnut, you want to grab millions of data, with only 10,000 IP service providers, each IP to be reused 100 times, the probability of being blocked is extremely high. ipipgo's ten million pool, the average IP is only used 1-2 times.

Q: What should I do if I encounter a website asking me to log in?
A: It is recommended to work with browser fingerprinting camouflage (e.g. with selenium). ipipgo's IP is a brand new session every time, and won't be recognized because of the cookie association.

Q: How can I tell if my IP is blocked?
A: Professional service providers will be automatically detected, ipipgo's API automatically switches to a new IP within 0.5 seconds when it receives a 403 status code, completely without human intervention.

Recently helped customers deploy the case: an e-commerce monitoring project, the use of ipipgo rotation program, the average daily capture volume from 20,000 to 700,000, and continued to run stably for 3 months without failures. Their technical director's words: "I should have known that professional agents are so troublesome, when they should not toss two months..."

One final point that many people overlook:Timed replacement of export territoriesThe first thing you need to do is to set up a geographic switching policy in the background. For example, in the morning with Jiangsu IP, afternoon cut to Guangdong IP, so that the access pattern is more like a real user. ipipgo background can be set to geographical switching strategy, this function is measured to be able to reduce the blocking rate of another 30%.