
Hands-On Smart Agent Pooling
Crawlers should understand the old iron, the biggest headache is the IP is blocked. Last week I wrote an e-commerce crawler just ran for half an hour, more than 200 IP into the blacklist, so angry that I fell on the keyboard. At this time the importance of the proxy IP management system, as if the crawler installed "cloak of invisibility".
The traditional approach is to manually maintain the proxy list, but you're blind when it comes to the following scenarios:
The proxy suddenly fails at 3:00 a.m. | Need to manage multiple project IPs simultaneously | Anti-crawling strategies vary greatly from site to site
Here's a recommendation for ipipgoDynamic IP pool + automated management systemThe combo has been measured to extend crawler survival time from 2 hours to 72 hours +.
System core four-piece suite
A complete agent management system should contain these modules:
| module (in software) | corresponds English -ity, -ism, -ization | Recommended Programs |
|---|---|---|
| IP grabber | Continuous access to fresh agents | Real-time interface to ipipgo's API |
| quality control | Sift out invalid IPs | Timed PING + Target Site Probe |
| movement control center | Intelligent IP assignment | Polling/weighting/geography combination strategy |
| Log Monitoring | Real-time IP status | Anomalous IP auto-fusing mechanism |
A real case in point: a financial data collection project using ipipgo'sBusiness Level Agent PackageWith the customized scheduling strategy, the average daily request volume of single IP is successfully controlled within 300 times, and it has been running stably for 45 days without blocking.
Code Practice Guide
Here's a Python example given to implement a base agent pool using the ipipgo API:
import requests
from random import choice
Get the latest proxies from ipipgo
def fetch_proxies():
api_url = "https://api.ipipgo.com/get?format=json&key=你的密钥"
resp = requests.get(api_url).json()
return [f"{item['ip']}:{item['port']}" for item in resp['data']]
Smart switching proxies
def smart_request(url).
proxies = fetch_proxies()
for _ in range(3): retry 3 times
current_proxy = {'http': 'http://' + choice(proxies)}
try.
return requests.get(url, proxies=current_proxy, timeout=10)
except Exception as e.
print(f "Proxy {current_proxy} failed, switching automatically.")
return None
Example of use
response = smart_request("Target URL")
Be careful to set theException Retry Mechanismrespond in singingRequest timeout, it is recommended to pair it with ipipgo's per-volume billing package to use as much as you can without wasting it.
Guide to avoiding the pit QA
Q: What should I do if the proxy often times out the connection?
A: Check the IP survival detection interval, it is recommended to set the1 time in 5 minutesof basic testing+Target site-specific detection. ipipgo's IPs come with a health score that prioritizes nodes with a score of 85+.
Q: How can I avoid being recognized by websites as proxy traffic?
A: Note these three points:
1. Remove Proxy-Connection field from request header
2. Enabling ipipgoTerminal IP obfuscationservice
3. Control the frequency of visits, different pages set different delays
Q: Is there a big difference between free proxies and paid proxies?
A: To tell you the big truth: the availability of free proxies is usually <20%, while professional service providers like ipipgo can maintain an availability of ≥98%. What's more, paid proxies havelegal protectionrespond in singingTechnical service support, and problems can be solved in a timely manner.
The doorway to choosing a service provider
There are a variety of agency services on the market and it is recommended to focus on these indicators:
- IP pool size (ipipgo currently has 30 million + dynamic resources)
- Network latency (measured ipipgo domestic nodes <50ms)
- Protocol support (HTTP/HTTPS/Socks5 are required)
- Authentication method (recommended whitelist + dynamic key double insurance)
I recently discovered that ipipgo has aCold but usefulThe function of the -IP usage trackingIt is especially convenient to troubleshoot problems because you can clearly see the historical usage of each IP.
Finally give a piece of advice: do not save money on the quality of the agent! Previously, a friend of cheap with poor quality agent, the result of climbing to the data are false content, the project directly yellow. Professional things or to ipipgo such professional service providers, worry and reliable.

