
Proxy server parameters not tuned well? Try these wildcards
Proxy servers are engaged in know, parameter configuration is like frying vegetables put salt - more snore throat, less tasteless. Let's nag a little practical experience today, hand in hand to teach you to grasp these parameters.
First, the type of agent to choose the right way, the effect is immediately visible
There are three common types of agents on the market:Dynamic homes, static homes, data centers. For example, to do e-commerce price monitoring with dynamic homes is the most suitable, IP every few minutes automatically change, not easy to be recognized. If you do long-term login tasks, you have to choose a static residence, an IP can be used for 30 days without change.
Example of dynamic residential proxy with ipipgo (Python)
import requests
proxy = "http://user:pass@gateway.ipipgo.com:9020"
resp = requests.get("https://目标网站", proxies={'http': proxy})
Second, the protocol configuration has to pay attention to, do not be a wrongdoer
HTTP/HTTPS/Socks5 are not random protocols. The real test found:
| Protocol type | Applicable Scenarios |
|---|---|
| HTTP | General web crawling |
| Socks5 | Scenarios requiring UDP transmission |
| HTTPS | encrypted data transmission |
The enterprise version of ipipgo's Dynamic Residential supports all protocols, ordinary users choose HTTP is enough to save some traffic costs.
Third, timeout settings should be flexible, dead wait is not a solution
I've seen people set the timeout to 30 seconds, isn't this waiting for IP blocking? Recommended setting:
- Connection timeout: 3-5 seconds
- Read timeout: 8-12 seconds
If you use ipipgo's TK line, you can shorten the time by another 1/3, after all, the quality of their line is there.
IV. Don't be greedy for concurrency control, beware of rollover
Newbies are most likely to plant on the concurrency count. Give a reference value:
Sensible Concurrency Control Example
from concurrent.futures import ThreadPoolExecutor
with ThreadPoolExecutor(max_workers=5) as executor: Dynamic residential recommended 5 concurrency
results = executor.map(crawl function, task list)
If you use a static residential package, concurrency can be mentioned 10-15, after all, IP stability is better.
Fifth, IP rotation strategy has a doorway
Don't be silly to change IP at a fixed frequency, it depends on the protection strategy of the target website. Two models are recommended:
- Automatic IP change for failed requests
- Dynamically adjusted by response time (change if response exceeds 500ms)
API support for ipipgoOn-demand withdrawal + automatic recycling, with this code it is possible to implement intelligent rotation:
Smart IP Pool Example
import ipipgo
pool = ipipgo.ProxyPool(
api_key="Your key", pool_size=20, keep 20 IPs on standby.
pool_size=20, keep 20 IPs on standby
recycle_condition=lambda resp: resp.status_code ! = 200
)
QA session
Q: What should I do if the proxy speed is fast or slow?
A: Priority check protocol settings, HTTPS is slower than HTTP 20% normal. The cross-border special line of changing ipipgo can stabilize the speed
Q: What should I do if I keep getting my IP blocked?
A: three tricks: 1. change static residential packages 2. adjust the request interval 3. with UA random generation
Finally, to be honest, parameter optimization is not a metaphysics, the key has to betake appropriate stepsThe most important thing is that you can customize the program to meet the needs of your customers. Like ipipgo can customize the program provider, encounter complex scenes directly to their technical small brother than self-tossing strong. Newcomers are advised to play from the dynamic residential standard version, more than 7 yuan 1G traffic enough to practice, and so on the technology slippery and then on the enterprise version.

