IPIPGO ip proxy Data Extraction Definition: Data Agent Extraction Principles

Data Extraction Definition: Data Agent Extraction Principles

What the hell is data extraction? To put it in human terms, it is, the operation of batch picking and pulling data from the Internet. For example, you want to monitor the price fluctuations of 20 e-commerce sites, manual transcription to death, this time you have to use the program to automatically catch. But the direct hard scratch will encounter the site anti-climbing mechanism, the light is blocked IP heavy lawsuit. ...

Data Extraction Definition: Data Agent Extraction Principles

What the hell is data extraction?

To put it in human terms.Bulk data pulling from the internetThe operation. For example, you have to monitor the price fluctuations of 20 e-commerce sites, manual transcription to exhaustion, this time you have to use the program to automatically catch. But the direct hard scratch will encounter the website anti-climbing mechanism, light is blocked IP heavy is to eat the lawsuit.

That's when you have to rely on proxy IPs for cover. For exampleWearing different masks to try out the food at the supermarketThe first thing you need to do is to change the IP address every time, so that the website thinks it is a normal user browsing. To cite a real scene: a price comparison platform with 200 proxy IP rotation crawl, the success rate of 98%, than the naked crawl efficiency by 7 times.

How do you play with proxy IPs for data extraction?

There are just three core principles:Stealth, rotation, camouflage. Using ipipgo's residential proxy as an example, each request is forwarded through the real-user network environment, and the data flow looks roughly like this:


 Python example (debugging traces intentionally preserved)
import requests
from random import choice

proxy_list = ipipgo.get_proxies(type='residential') get dynamic residential IP pools
url = 'https://target-site.com/data'

for _ in range(100):: url = ''
    try.
        proxy = {'http': choice(proxy_list)}
        resp = requests.get(url, proxies=proxy, timeout=8)
        print(resp.text[:50]) Intentionally truncated display
    except Exception as e.
        print(f'Error: {str(e)[:20]}...')   Keep the error message

watch carefullychoice(proxy_list)This soo operation, randomly select a different IP each time. ipipgo's proxy pool is automatically updated every 5 minutes, which is much safer than using a fixed IP.

A practical guide to avoiding the pit

Three common mistakes newbies make:

misoperation result correct posture
No interval for high-frequency visits IP blocked for triggering risk control Randomized delay of 2-8 seconds
Data center IP only Recognized as machine traffic Mixed residential + server room IPs
No CAPTCHA processing Interruption of the acquisition process Integrated coding platform

Here's the kicker.Delay Setting, don't be stupid and use a fixed time. Suggest getting a random number:


import time
import random

 Mimic the rhythm of human operations
time.sleep(random.randint(2,5) + random.random()) 

The QA session you care most about

Q: Will I be found by the website if I use a proxy IP?
A: Use ipipgo'sDynamic Residential AgentsThe IP survival cycle is short and the relevance is weak. The actual test of an e-commerce platform has not been blocked for 3 weeks of continuous collection

Q: Why is my agent slow?
A: 80% are using free proxies! ipipgo'sDedicated server room agentAverage response <200ms, 3 times faster than home wide networks

Q: How do I break the CAPTCHA when I encounter it?
A: Two options: ① Reduce the frequency of requests ② Use ipipgo'sHigh Stash Proxy + Fingerprint BrowserProgram portfolio

Why ipipgo?

The real-world data speaks for itself:

  • 32 million real residential IPs worldwide
  • Success rate from 67% → 92% (self-tested data for 3 months)
  • API responds to new IPs in 10 seconds
  • 7×24 technical customer service (the kind that really gets through)

Recently there was a team that made a price comparison plugin that used ourpay-per-use packageThe cost is 40% less than that of a self-built agent pool, and their boss said, "If I had known you were so reliable, I wouldn't have recruited two programmers in the first place."

One final piece of cold knowledge: the anti-crawl strategy of many websites is toNighttime relaxationThe, with ipipgo's timed task function, set in the early morning collection can improve the 15% efficiency. This detail 90% of people don't know, today counts as a free gift to everyone.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/38804.html

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