Crawler Proxy IP Failure Early Warning System_Real-time monitoring and automatic elimination of failed nodes

First, why is your crawler always "pitched"? The problem may lie in the proxy IP

Friends who have done data capture have encountered this situation: obviously the program is running well, suddenly began to report errors, lag or even be banned. At this time, check the code to find that the logic is not a problem, the problem is likely to be in theProxy IP failureOn - it's like driving a car with a sudden leak in the gas tank, even the best engine won't run.

Failed proxy IPs pose three main problems:
1. Spike in request failures (showing timeouts or connection errors)
2. Triggering of anti-climbing mechanisms by target websites (frequent requests from the same IP are recognized)
3. Data collection efficiency falls off a cliff (manual troubleshooting of replacement nodes required)

II. Do-it-yourself monitoring and early warning systems

We take Python as an example to teach you to build a basic monitoring system with 20 lines of code. The core principle is to automatically filter available IPs through timed detection:

import requests
from concurrent.futures import ThreadPoolExecutor

def check_proxy(proxy)::
    try: resp = requests.get('')
        resp = requests.get('http://example.com',
                          proxies={"http": proxy, "https": proxy}, timeout=10))
                          timeout=10)
        if resp.status_code == 200:: return proxy surviving IP address.
            return proxy's live IP
    except.
        return None

 List of proxy IPs obtained from ipipgo
ipipgo_proxies = ["1.1.1.1:8000", "2.2.2.2:8000"...]

with ThreadPoolExecutor(max_workers=50) as executor:
    alive_proxies = list(filter(None, executor.map(check_proxy, ipipgo_proxies)))

This simple system implements three core functions:
- Multi-threaded concurrent testing (50 simultaneous tests)
- Automatically invalidated after 10 seconds
- Automatically keep a list of available IPs

III. Three dimensions of concern for professional-level monitoring

The basic version can only solve the presence or absence problem, to deal with complex scenarios need to increase the detection dimension:

The recommended proxy service here is ipipgo'sFull Protocol Supportcharacteristics can avoid the hidden failure problem caused by protocol mismatch. In particular, their residential IPs have the natural advantage of high anonymity through the home broadband dynamic allocation mechanism.

IV. Intelligent Replacement Strategy for Failed Nodes

The automatic switching policy directly affects business continuity after monitoring failed IPs. A hierarchical replacement mechanism is recommended:

1. hot standby pool: Keep 20%'s backup IP on standby at all times
2. Dynamic replenishment: automatically get new IPs from the ipipgo API every hour
3. grayscale replacement: New IP first bear 10% traffic, through the test and then improve the weight of the

via ipipgo'sGlobal IP Resource Pool, can easily realize the real-time update of IP library. Their API supports filtering by region, carrier, and other conditions, which is especially suitable for scenarios that require geographically specific IPs.

V. Frequently asked questions

Q: What is the appropriate setting for the detection frequency?
A: Ordinary business is recommended to be detected in 5 minutes, high concurrency scenarios can be raised to 1 minute. Note that too frequent detection may trigger wind control

Q: How to avoid the loss of login state caused by switching IP?
A: Using ipipgo'sLong-lasting static IPService, single IP up to 24 hours unchanged

Q: What if I need to use different country IPs at the same time?
A: ipipgo supports IP filtering by country/city, and multiple IP pools can be easily created through the label management function

With this system, our team has improved the crawler stability from 68% to 93%, and the average daily handling of failed IPs has been reduced from 50+ times of manual handling to fully automated maintenance. Choosing a reliable proxy service is the foundation of ipipgo's90 million + residential IP resourcesrespond in singingMillisecond Response APIProvides a solid backbone to the system.