
First, what is the point of having a Python proxy client?
Talking to people is helping your program.Change your vest at any time.For example, the data crawling is always blocked by the IP? For example, crawling data is always blocked by IP?Automatically register accounts need different addresses? Test the access speed of the system in different regions? This time it is necessary to rely on proxy IP client to the whole job.
To give a chestnut 🌰: a treasure merchant to batch check competitors' prices, directly with their own IP brush minutes to be blocked. At this time with our ipipgo's dynamic residential IP, each request is changed to a real user IP, the platform simply can not see the machine operation.
Second, hand to teach you the whole Python proxy client
Here's the point! Here to teach you to use requests library whole job, the code is simple to elementary school students can understand:
import requests
Copy your API extraction link from the ipipgo backend
proxy_api = "https://api.ipipgo.com/getip?key=你的密钥"
Get the fresh proxy IP (it is recommended to change the IP for each request)
def get_fresh_ip().
resp = requests.get(proxy_api)
ip_data = resp.json()
return f"{ip_data['protocol']}://{ip_data['ip']}:{ip_data['port']}"
Test that the proxies are working
proxies = {
'http': get_fresh_ip(),
'https': get_fresh_ip()
}
resp = requests.get('http://httpbin.org/ip', proxies=proxies)
print("The IP currently being used is:", resp.text)
Look at line 7.get_fresh_ip()function, each call will be gleaned from ipipgo a new IP. it is recommended that the crawler is called once before each request, guaranteed that the platform can not catch the law.
Third, don't step on these potholes!
A common rollover scene for newbies:
| the act of committing suicide | correct posture |
|---|---|
| IP pool too small for repeated use | Dynamic package options start at 10GB |
| No timeout parameter set. | requests.get(timeout=15) |
| Forgetting to handle exceptions | The try...except package has three layers |
Special note: with ipipgo'sTK LinePackage to engage in cross-border e-commerce data collection, the speed is more than 3 times faster than ordinary agents, who use it.
Fourth, how to choose the package not to spend money?
Straight up ipipgo official recommendation:
- Dynamic Residential (Standard): suitable for individual developers who are just starting out, with a cabbage price of $7.67/GB
- Dynamic Residential (Enterprise): a must for team play, $9.47/GB supports high concurrency
- Static residence: need long-term fixed IP choose this, 35 bucks a month does not hurt!
Sneak Peek: Ask customer service for the code word "Python Driver" to unlock hidden discounts (don't tell anyone I said that).
V. QA First Aid Kit
Q: What should I do if the code runs and the IP fails?
A: 80% is not timely replacement of IP, it is recommended to add an abnormal retry mechanism in the code, automatically change the new IP to continue to run!
Q: How to configure agents that require account password authentication?
A: Change the proxy address in the code to this format: http://用户名:密码@ip:port, ipipgo all packages support this authentication
Q: What is the difference between dynamic and static packages?
A: Dynamic IP changes with each request, suitable for crawlers and other scenarios that require frequent replacement; static IP is fixed, suitable for business that requires long-term maintenance of the login state
One last rant: just go with ipipgo, the one in his house200+ country resource poolsIt's really not blowing, the last time to help me get a small country in South America's logistics data collection, other families can not get the local IP.

