Data Platform: Proxy IP Data Collection Platform

I. Why is data collection always stuck? Proxy IP to the rescue

The old iron engaged in data collection must have encountered this situation: obviously the program is running well, suddenly prompted the"Request denied."or"Excessive frequency of visits"The first thing you need to do is to get your IP address to the target site. At this time do not rush to smash the keyboard, eighty percent of your IP was the target site shut down the small black house!

To give a chestnut, Zhang San wants to capture the price of the e-commerce platform to do the price comparison system, at first you can still get the data normally, the results of the next day found that the return of all the CAPTCHA page - this is typical of theIP blockedThe first thing you need to do is to change the proxy IP pool you have on hand and continue to work. At this point, if you have a pool of proxy IPs on hand, you can keep working with a different vest.

import requests
from ipipgo import get_proxy call ipipgo's SDK

def crawler(url).
    proxy = get_proxy(type='residential') get residential proxy
    try.
        response = requests.get(url, proxies={'http': proxy}, timeout=10)
        return response.text
    except Exception as e.
        print(f "Capture failed, auto switch IP: {e}")
        return crawler(url) recursive retry

Second, how to choose a reliable proxy IP?

The market is full of proxy service providers, but choose the wrong type of minutes to fall into the pit. Here is a comparison table for the guys:

Here's the kicker.Dynamic residential IP for ipipgoThis thing uses the network environment of real users, and the target website can't tell whether it is visited by real people or operated by machines. Last time, there is a customer doing public opinion monitoring, with static IP blocked two or three days, changed to ipipgo dynamic rotation program, ran for two consecutive months did not turn over.

III. Guide to avoiding pitfalls in actual combat

1. Don't put your eggs in one basket.: It is recommended to prepare 3-5 IP pools at the same time, like ipipgo support API real-time extraction, you can work with other service providers to do the disaster recovery

2. Request header to be disguised: Remember to switch User-Agents randomly, so that the site doesn't realize that all requests are coming from the same browser!

3. Controlling the pace of visits: There will be pauses in the human operation, and the program should add random delays, so that it doesn't blitz like a machine gun.

import random
import time

def smart_request(url):
    headers = {
        'User-Agent': random.choice(UA_LIST) Pre-populated with multiple browser identifiers
    }
    time.sleep(random.uniform(1,3)) randomly wait 1-3 seconds
     Combined with the proxy call code above

IV. Real cases speak for themselves

A cross-border e-commerce company wants to doglobal price comparison system (GPS), encountered three headaches:

1. The target website has geographical restrictions (e.g. the U.S. website does not allow Chinese IP access)
2. Frequent visits trigger CAPTCHA
3. Need to maintain stable collection over time

The solution after going on ipipgo:
① Obtaining local residential IPs with geo-location function
② Set up automatic IP rotation rules (change IP every 50 requests)
③ Cooperate with the request frequency control module

As a result, the success rate of acquisition has soared from 47% to 92%, and the operation lady no longer needs to get up in the middle of the night to deal with the error report!

V. Frequently Asked Questions QA

Q: What should I do if my proxy IP is slow?
A: Priority is given to local server room nodes, ipipgo'sIntelligent RoutingThe function automatically assigns the line with the lowest latency

Q: What if I need to capture a website that requires a login?
A: It is recommended to bind a fixed IP, ipipgo'sLong-lived session IPCan remain unchanged for 24 hours to avoid loss of login status

Q: How can I tell if a proxy is in effect?
A: With this check code, it shows the real IP currently in use:

import requests
def check_ip(): resp = requests.get('')
    resp = requests.get('http://httpbin.org/ip',
                      proxies={'http': 'Your proxy IP'})
    print(resp.json())

Sixth, say something heartfelt

Engaging in data collection is like fighting a guerrilla war, you need to be able to attack quickly (efficient collection), but also be able to transfer flexibly (change IP). Choosing the right proxy service provider can really reduce a lot of detours, like ipipgo supportpay per volume,7×24 hours technical supportThe platform is especially suitable for small and medium-sized teams that are just starting out.

Lastly, I would like to remind newbies: don't buy free proxies on the cheap, those IPs have long been played. Although the regular service providers to spend money, but can help you save the time of tossing, this account how to calculate are not good?