
What does an HTTP proxy actually do?
Recently, a friend asked me, always heard that the HTTP proxy is useful, but what problems can be solved? To cite a real scenario: to do e-commerce friends to collect the price of competing products, just climb two pages on the blocked IP. at this time if there is an intermediary to help you forward the request, like wearing a mask to knock on the door, which is the core value of the HTTP proxy.
Many tools on the market support proxy settings, such as the most commonly used crawler framework Requests, plus two lines of code to use the proxy:
import requests
proxies = {"http": "http://username:password@ipipgo-proxy-server:port"}
response = requests.get("destination URL", proxies=proxies)
Pay attention here.username and passwordTo change the key to the one provided by ipipgo, don't misspell the colon. A lot of newbies planted in this small detail, the result can not connect to the proxy still think it is a server problem.
Is picking an agent type harder than finding a date?
Don't let the jargon fool you, remember three things:
| typology | specificities | Applicable Scenarios |
|---|---|---|
| Data Center Agents | Cheap and large volume, stable speed | Batch registration, data collection |
| Residential Agents | Real-life IP, hidden from view | Grab a limited number of products, social operation |
| Mobile Agent | 4G/5G networks, the most difficult to identify | High anti-climbing scenarios, APP data crawling |
ipipgo these three types of agents are provided, it is recommended that novices first practice with the data center agent. They have a smart switching function is quite worrying, automatic IP change without having to write their own rotation logic, especially suitable for tasks that require long-term operation.
Avoiding these pitfalls can save you three days of meals
I was helping a client debug an agent last month and found five common problems:
- Proxy settings are not formatted correctly (focus on http://前缀和端口号)
- Local network limitations (curl test proxy connectivity first)
- The target site has fingerprinting detection (remember to turn on ipipgo's browser fingerprinting emulation)
- Concurrency over agent package limit (control thread count like driving a car without speeding)
- Failure to replace invalid IPs in a timely manner (set up automatic detection of response codes)
There is a tricky way to do this: use the API provided by ipipgo to get the latest pool of available proxies, code example:
import json
from requests import get
proxy_list = json.loads(get("https://api.ipipgo.com/proxy-pool").text)
print(f "Current number of available IPs: {len(proxy_list)}")
QA Time: You have these questions too, right?
Q: What should I do if the agent speed is fast or slow?
A: First look at the response delay, ipipgo background can see the real-time speed of each node. If the general slow, may be the package bandwidth is not enough, it is recommended to upgrade to a dedicated line.
Q: Why are requests still blocked sometimes?
A: Nowadays, there are more means of website defense to go along with User-Agent rotation + request frequency control. ipipgo's intelligent scheduling system can handle these details automatically.
Q: How long does an agent last?
A: Residential agents usually 15-30 minutes, data center agents about 1 hour. It is recommended to turn on automatic replacement for important business, don't wait to be blocked and then deal with it.
Finally remind newbie friends, do not try to buy cheap junk agent. I've seen some people buy 1 yuan cheap agent, the result of the collection of data is all garbled. Like ipipgo this regular service providers haveRequest Success Rate GuaranteeIf you have a problem, you can still find technical troubleshooting, which saves you a lot of effort over building your own agent pool.

