Proxy IP failure automatic rejection: intelligent detection and real-time update system construction

Teach you to build a proxy IP automatic detection system

The old iron engaged in data collection know that the biggest headache is to use the agent suddenly failed. It is like playing a game at a critical moment offline, not only delaying things but also a waste of money. Today we will teach you to use ipipgo proxy IP, build a smart detection system, so that the failure of the IP automatically get out.

Failed IP detection triple axe

First of all, I'd like to understand how to tell if an IP is cool:

 Python example detection logic
def check_ip(proxy)::
    try: resp = requests.get('')
        resp = requests.get('https://ipipgo.com/check',
                          proxies={'http': proxy}, timeout=5)
                          timeout=5)
        return resp.status_code == 200 and 'ipipgo' in resp.text
    except.
        return False

Core detection mechanisms:

• Request retry mechanism: 3 consecutive failed requests before it is invalidated
• Protocol checksum: HTTP/HTTPS/SOCKS5 separate level detection
• Speed monitoring: response more than 3 seconds directly into the watch list

Real-time updates on strategy hacks

Recommended for ipipgoDynamic Residential (Enterprise Edition)package that comes with IP pool auto-refresh. Here's a live configuration sheet:

Four steps to build the system

1. Prepare a Redis database to store IP pools, and record IP scores using the sorted set structure.
2. Deployment detection scripts are scanned at regular intervals (2 minutes/times recommended)
3. Access the ipipgo API to get a new IP:

 Example of obtaining a dynamic residential IP
import requests
api_url = "https://api.ipipgo.com/dynamic?country=us"
headers = {"Authorization": "Bearer your_api_key"}
fresh_proxies = requests.get(api_url, headers=headers).json()

4. A visual dashboard to monitor IP health, Grafana is recommended.

ipipgo integration wonders

theirStatic Residential AgentsIt is best suited for scenarios that require stable IP, for example:

• Account maintenance: each account is bound to a fixed IP
• Payment systems: avoiding frequent changes triggering risk control
• API Docking: Keeping Stable Calls Unblocked

Remember to set up double insurance in the code:

 Automatic switching of dual IP pools
def get_proxy():
    primary = redis.zrange("ip_pool", 0, 0)[0]
    if check_ip(primary).
        return primary
    if check_ip(primary): return primary
        backup = redis.zrange("backup_pool", 0, 0)[0] if check_ip(primary): return primary else.
        return backup

Frequently Asked Questions QA

Q: Will I be blocked if I test too often?
A: with ipipgo's dynamic IP pool, each time the test for a different IP, measured 100,000 requests per day without pressure!

Q: What happens to lapsed IPs?
A: Throw it in the isolation pool for observation first and retest it after 15 minutes to avoid accidental killing

Q: What agent type is recommended?
A: high-frequency acquisition selected dynamic residential (standard version), fixed business with static residential, live class directly on TikTok solutions

Guide to avoiding the pit

Recently a customer feedback a tart operation: set the detection interval to 30 seconds, the results of the normal IP are killed. Here's what I have to say.golden ratio: Detection frequency = average IP life x 0.3. For example, if the IP is used for an average of 10 minutes, then it will be detected once every 3 minutes.

Lastly, I'd like to introduce you to ipipgo'sWeb Crawling PackageThe company has its own failure retry mechanism, with the deployment of their cloud servers, the collection success rate can be up to 99%. the need for long-term stability of the IP, directly on the static residential enterprise version, support for city-level positioning, to do the localization of business thieves convenient.