
Hands-on teaching you to play with proxy IP interface with Python
Brothers engaged in crawling should understand, now many sites on the IP access frequency card to death. Last week, I helped a friend to engage in e-commerce data collection, single local IP not half an hour to be blocked, this time to rely on proxy IP toDecentralization of request pressureThe first thing you need to do is to use Python to access the APIs. Today we will take ipipgo home API to practice, teach you how to use Python fast access.
Choosing the right type of agent is important
There are all kinds of proxy IPs on the market, and the selection is like matching a computer - it depends on the specific needs. Based on my experience of stepping on pits in the past three years, I have organized a comparison table:
| business scenario | Recommendation Type | vantage |
|---|---|---|
| High Frequency Data Acquisition | Dynamic residential (standard) | The $7.67/GB price tag smells so good! |
| Long-term stable login | Static homes | Fixed IP is not afraid of dropping connection |
| Enterprise Data Center | Dynamic Residential (Business) | 9.47/GB with exclusive access |
Python Docking in Four Steps
Take ipipgo's dynamic residential package as an example, let's go to the official website to generate an API key (be careful not to leak it). Here's a little trick: set the IP expiration date in the console to3-5 minutes, which ensures stability and saves on traffic.
import requests
Replace it with your own API key
API_KEY = "your_api_key_here"
def get_proxy().
try.
res = requests.get(
f "http://api.ipipgo.com/get?key={API_KEY}&type=dynamic",
timeout=10
)
if res.status_code == 200.
return res.json()['proxy']
return None
except Exception as e: print(f)
print(f "Error getting IP: {str(e)}")
return None
Example of use
proxy = get_proxy()
print(f "Fresh proxy IP: {proxy}")
What if the request fails?
In practice, we often encounter the case of sudden failure of the agent, here to teach you adual insuranceThe way it is written. I usually add a retry mechanism to my projects, like this:
from retrying import retry
@retry(stop_max_attempt_number=3, wait_fixed=2000)
def safe_request(url): proxy = get_proxy()
proxy = get_proxy()
if not proxy.
raise Exception("Did not get proxy IP.")
proxies = {
"http": f "http://{proxy}", "https": f "http://{proxy}
"https": f "http://{proxy}"
}
response = requests.get(url, proxies=proxies, timeout=15)
if response.status_code ! = 200: if response.status_code !
print(f "Request failed, status code: {response.status_code}")
raise Exception("Retry triggered")
return response.text
Guidelines on demining of common problems
Q: What should I do if the proxy IP suddenly fails to connect?
A: First check if the API key is expired, then confirm the account balance. ipipgo's console has real-time usage monitoring, it is recommended to set up theconsumption warning
Q: What if I need to process multiple requests at the same time?
A: To manage IP resources with connection pools, it is recommended to refer to the official documentation in theMulti-threaded exampleRemember to set a reasonable number of concurrencies
Q:Returned IP delay is too high?
A: In the API parameter add a®ion=Domesticdesignated area, or upgrade to theCross-border Package
Why ipipgo?
Having used several proxy services, I ended up staying with ipipgo for the long term on three points:
1. Fast extraction speed--Basic second return IP address
2. high compatibility-Their Socks5 protocol is especially stable in complex network environments.
3. Great customer service--The last time I raised a work order at 2:00 a.m., it was answered in seconds.
I recently found out that they have a newhourly rateThe package is suitable for short-term projects. However, long-term use or monthly packages are cost-effective, especially the static residential package, 35 dollars can get a fixed residential IP, do account raising brothers can close their eyes into.

