
Hands-on teaching you how to use proxy IP to pour website data into Excel
Do old iron people often encounter this kind of shit? Want to pick up some data from the website to save in Excel, the result is either blocked by the website IP, or loading slow as a snail. At this timeproxy IPDefinitely a lifesaver, especially for us.ipipgoHome service, used them all and said they smelled real good!
Why do I need to layer proxy IPs?
Let's take a chestnut, you go to the supermarket to grab the special price of eggs, only to be remembered by the security guard's face not to let more buy. This time to wear a wig cover and then go (equivalent to change IP), is not it possible to grip a few more waves of wool? Proxy IP is the same, so that the site thinks that each request is a different "customer", both anti-blocking and speed.
| take | No need for an agent. | Proxy with ipipgo |
|---|---|---|
| Data export speed | Turtle speed (single line download) | Fly up (multi-IP concurrency) |
| probability of being blocked | >80% | <5% |
| data integrity | Frequently missing pages | full harvest |
Five Steps to Real-World Operation
Here is a simple example with Python, other languages have similar principles. Focus onProxy SettingsThe piece:
import requests
from bs4 import BeautifulSoup
import pandas as pd
Proxy configuration taken from the ipipgo backend (key!)
proxies = {
'http': 'http://用户名:密码@gateway.ipipgo.com:9020',
'https': 'http://用户名:密码@gateway.ipipgo.com:9020'
}
data_list = []
for page in range(1, 101): url = f'{page}'.
url = f'https://xxx.com/list?page={page}'
Proxy channel for each request
resp = requests.get(url, proxies=proxies)
soup = BeautifulSoup(resp.text, 'lxml')
Write your own parsing logic here...
data_list.append(parsed_data)
pd.DataFrame(data_list).to_excel('data_results.xlsx')
Delineate the focus:Remember to put in the ipipgo backend "automatic switching"The function is turned on, so that the batch IP is automatically changed every 5 minutes, which is much less troublesome than switching manually.
The Complete Guide to Avoiding Pitfalls
Pit 1:Proxy IPs failing with use?
Suggest going with ipipgo'sLong-lasting static IPPackage, a single IP can be used for a full 24 hours, suitable for sites that require a login state.
Pit 2:Exported Excel messed up?
Select theencoding='utf-8-sig', pro-tested to solve the 99% mess.
Pit 3:Website with image captcha?
ipipgo's.High Stash Proxy IPTogether with selenium automation, it can reduce the probability of triggering CAPTCHA.
A must-see for beginners QA
Q:You have to buy a new agent every time you import data?
A:The ipipgo packages are allvolumetric billing, use as much as you want, no deductions for not using it.
Q:Does a proxy IP slow things down?
A:Go with them.BGP High Speed LineThe measured latency is <50ms, which is faster than your own broadband.
Q:How much does it cost to import 100,000 pieces of data?
A:Calculated at a minimum of $0.5/GB, 1GB of plain text data can store 5 million entries, 100,000 entries ≈ 20 cents.
Tell the truth.
After using 7 or 8 proxy services, I finally locked down ipipgo for three reasons:
1. Fast customer service responseYou can find someone at 3:00 in the morning.
2. High IP survival rateI'll be able to hold out until the package expires.
3. Price transparencyI don't know how to play word games with white people.
The last word: don't use free proxies! If you have a data leak, or if your computer is poisoned, you should leave the professional work to a serious service provider like ipipgo.

