Python implementation of Google Search: Google Search Agent Implementation

Not to beat around the bush and get to the point: why use a proxy IP for Google search?

The old iron engaged in data collection understand, directly take their own IP to sweep Google that is death. Light is to limit the flow of heavy is sealed, especially when doing batch query.Proxy IPs are your life preserver.It's like going to the supermarket and trying out the same food. Like you go to the supermarket to try to eat, can not catch the same counter to eat a dozen times, right? This time you have to change the vest - proxy IP is the vest.

Choose the right tool less step in the pit: ipipgo proxy test experience

There are all kinds of proxy services on the market, but the real testipipgoThere are two advantages of the most real: one is the protocol support full (HTTP/HTTPS/Socks5 can be), the second is to be able to directly docking code. Last week to help a friend tune crawler, with their dynamic residential package, ran for three days without triggering the validation, the stability can indeed be.

import requests

def get_proxy().
     Here we use ipipgo's API to extract the proxy (remember to replace your account parameters)
    api_url = "https://api.ipipgo.com/getproxy?type=dynamic&count=1"
    resp = requests.get(api_url)
    return f "http://{resp.text}"

Hands-On: Python Implementation of Proxy Search

The point is, the code has to be written in such a way as to be both unblocked and efficient:

from googlesearch import search
import random

proxies = {
    "http": get_proxy(), call the previously written get_proxy function
    "https": get_proxy()
}

try.
     It's important to control the frequency of the search, more than 5 seconds is recommended
    results = search(
        "Latest version of python",
        num=10, pause=5.5, random delay is safer.
        pause=5.5, random delay is safer
        proxies=proxies
    )
    for res in results.
        print(res)
except Exception as e.
    print(f "Error brother: {e}")
     Suggest adding a proxy replacement logic here

Package selection doorway: do not look at the price to see the scene

Guide to avoiding the pit: 3 common mistakes made by newbies

1. The agent pool is too small:Have at least 50 IPs in rotation, don't be stingy with your budget.
2. The requesting head is not camouflaged:Remember to switch User-Agent randomly, don't use Python's default request header
3. The timeout setting is too short:It is recommended that international lines be set to more than 10 seconds, especially when using an overseas agent.

QA time: what you might want to ask

Q: What should I do if I can't connect to the proxy IP often?
A: Priority for ipipgo's TK line, their Southeast Asia line is really stable, the measured packet loss rate is lower than ordinary lines 40%

Q: What if I need to open multiple search threads at the same time?
A: Create multiple API keys in ipipgo background, different threads use different keys to fetch proxies to avoid IP duplication

Q: How do I break the CAPTCHA that appears in the search results?
A: two ways: ① change the static residential IP ② add selenium automation processing in the code, but the latter is more resource-consuming.

Speaking from personal experience: these are the details to keep in mind

Recently to help customers deploy a long-term collection project, with ipipgo static residential package, 35 yuan / IP / month look expensive, but the actual discount down than the flow billing to save 20%. there is also a riotous operation: the proxy IP and the local IP mixed use (ratio 3:1), can effectively reduce the probability of wind control.

Finally, to tell the truth: do not believe those free agents, last year I tried to save trouble used for a while, the results of the crawler was injected with malicious code, data leakage. Professional things or to ipipgo this kind of serious service providers, at least out of the problem can find someone to deal with.