
Hands-on guide to sifting through free proxy IPs that work
Crawlers know that nine out of ten free proxy IPs are pits. Today, let's do something real, with Python to write an automated detection script, three minutes to sieve out the IP can be used. don't panic, the code is twenty lines, the white man can also be used directly.
import requests
from concurrent.futures import ThreadPoolExecutor
def check_proxy(proxy)::
try: resp = requests.get('')
resp = requests.get('http://httpbin.org/ip', 'http': proxy, 'https': proxy, 'https': proxy)
proxies={'http': proxy, 'https': proxy}, timeout=5))
timeout=5)
return proxy if resp.json()['origin'] in proxy else None
return None
return None
with open('proxy_list.txt') as f.
proxies = [line.strip() for line in f]
with ThreadPoolExecutor(max_workers=50) as executor: results = executor.map(check_proxies)
results = executor.map(check_proxy, proxies)
with open('valid_proxies.txt', 'w') as f: f.write(''.join('')
f.write(''.join(filter(None, results)))
Scripting Core Set Breakdown
This thing looks simple, but it actually hides threeTips for avoiding pitfalls::
1. Use httpbin.org for authentication, which is more reliable than accessing Baidu directly (some agents will fake Baidu responses)
2. Multi-threaded to 50 concurrently, measured this number will not trigger anti-climbing and can ensure speed
3. Strictly comparing the return IP and proxy IP to prevent thoselit. hang a sheep's head while selling dog meatfalse proxies
A practical guide to avoiding the pit
I recently found out that some free agents will playtime-lag trick: It works when validating, but when it really comes to using it, it drops the ball. The solution is to add a secondary validation to the script:
def double_check(proxy): for _ in range(3): three consecutive times
for _ in range(3): three consecutive tests
if not check_proxy(proxy): if not check_proxy(proxy): if not check_proxy(proxy).
return False
return True
The inherent flaws of free agency
Even if the scripts are awesome, there's no cure for these hardcore problems with free proxies:
| Type of problem | probability of occurrence | result |
|---|---|---|
| slip through | 78% | Crawler hangs up in the middle of something. |
| lit. response is tortoise-speed | 65% | Acquisition efficiency plummets |
| IP blacked out | 43% | Trigger website counter-crawl |
Serious Solutions
For a serious project, you need to useipipgoThe agent's services. His family's dynamic residential agency has a specialty - theIP survival time customization, doing data collection can save 30% traffic costs. For example, when crawling e-commerce reviews, set the IP time limit to 30 minutes, just enough to crawl through a product page.
Real-world comparison data:
| Agent Type | Average Response Speed | Availability | Average Daily Drops |
|------------|--------------|--------|--------------|
| Free Proxy | 2.8s | 12% | 47 times |
| ipipgo dynamic | 0.3s | 99.6% | 0.2 times |
Frequently Asked Questions
Q:When I use the authenticated agent, it still reports an error?
A: 80% encounteredThe timeliness trapThe average survival time of a free agent is only 7 minutes, so it is recommended to use it immediately after verification.
Q: How long is the appropriate timeout period?
A: Flexible adjustment according to business scenarios, to do real-time data capture recommended 3 seconds, to do historical data backup can be put into the 10 second
Q: How do you speed up again?
A: Turn max_workers to 100 and also change the authentication address to your own server (to avoid httpbin.org access restrictions)
Recommended Upgrade Positions
When the project requireshighly concurrentmaybeLong-term stable operationIf you are looking for a static residential agent, you should go directly to ipipgo. Especially when doing overseas e-commerce price monitoring, his static proxy can doSame city exit IP maintains a 12-hour constant line, perfectly simulating real user behavior.
Recently, there is a tawdry operation: using his TikTok solution + proxy IP to do live data monitoring, directly saving two-thirds of the server overhead. The key is to bypass the platform's geographic restrictions, engage in competitive analysis is not too cool (of course, to operate within the scope of compliance ha).

