inurl:proxies: proxy resource mining tips

I. The hidden skills of Google search

Many people don't realize that search engines come withprecise positioningFunction. Try typing in the search boxinurl:proxies port:8080You will find a lot of web pages with port numbers. Note do not copy this example directly, their own combination of keywords works better:

intext: "socks5" after:2023
filetype:txt proxy
site:github.com "proxy list"

These syntax combinations can dig into profiles shared by technicians. Remember toChange search terms dailyFor example, replace "socks5″ with "http proxy" and use "port number" instead of number. This way the search results can be more than 30% new resources every day.

Second, GitHub's treasure trove of repositories

Programmer oldies love to hide things in code platforms. Searching these keywords can pick up the slack:

If you see a project with more than 200 stars, you should focus on it, as it is usually maintained more diligently. But there's a common problem with free resources--Short survival timeThis is the time to talk about professional service providers like ipipgo, whose proxy pool is automatically updated 24 hours a day, which saves you a lot of work compared to finding them manually.

III. Soil methods for validation agents

Don't be superstitious about tool testing, do-it-yourself is the most reliable. Here to teach athree-step verification method::

1. expense or outlaycurl --connect-timeout 5 -x http://代理IP:端口 https://httpbin.org/ipLook at the return IP
2. Make three consecutive requests to see if the response rate is stable
3. Change servers to test in different regions to prevent geographical restrictions

If you encounter fast and slow response, just give up and don't hesitate. At this time it is still recommended to use ipipgo!QA interfaceThey have every IP tested for 48 hours of stress, so save yourself the trouble.

IV. The right posture for automation tools

Python veterans can try this easy crawler framework:

import requests
from bs4 import BeautifulSoup


    sources = [
        'https://example.com/proxy-list', 'https://example.com/proxy-list', 'https://example.com/proxy-list'
        'https://sample.net/ips'
    ]
    for url in sources.
        try: resp = requests.get(url, timeout=10)
            resp = requests.get(url, timeout=10)
            soup = BeautifulSoup(resp.text, 'lxml')
             Here's the parsing logic...
        except Exception as e.
            print(f'Crawl failed: {str(e)}')

Be careful to set thestochastic delayrespond in singingerror retryMechanism. But to be honest, the cost of maintaining the crawler yourself is too high, why not just use ipipgo's API, they provide SDKs in 7 languages, and the access is only three lines of code.

V. QA Frequently Asked Questions

Q: What should I do if my free agent is always unstable?
A: free resources suitable for temporary testing, long-term use is recommended to buy ipipgo's commercial packages, their exclusive IP packages can control the delay in 200ms.

Q: How can I tell if a proxy service provider is reliable?
A: A look at the test interface is open, the second look at the IP library update frequency, and the third look at the technical support response speed. Like ipipgo provides24-hour real-time monitoring panelThe status of all nodes can be seen at a glance.

Q: What is the recommended website for testing whether the proxy is in effect?
A: Domestic use https://ipipgo.com/checkip, foreign use http://httpbin.org/ip. Note that some detection stations will block the proxy request, try a few more more accurate.

Q: Why do you recommend ipipgo?
A: Three hardcore advantages: 1) Self-built server room not second-hand resale 2) Support pay-per-use without waste 3) Provide complete log analysis function. Especially theirIntelligent Routing System, which automatically avoids network peaks.

Finally, to tell the truth, professional things or to a professional team. Tossing half a month, rather than directly on the ipipgo ready-made solutions, save time to do something bad?