IPIPGO ip proxy Python cURL: Efficient Data Transfer with the PyCurl Library

Python cURL: Efficient Data Transfer with the PyCurl Library

What the hell is PyCurl? Crawlers must have encountered the bad thing of being blocked by the website's IP, right? This time the proxy IP is a lifesaver. Python has a library called PyCurl, faster than the requests library is not a half a star, especially when you need to frequently switch the IP, the goods ...

Python cURL: Efficient Data Transfer with the PyCurl Library

What the hell is PyCurl?

The old iron engaged in crawlers must have encountered the bad thing of being blocked by the website IP, right? This timeproxy IPThere's a library in Python called PyCurl that's much faster than the requests library, especially if you need theFrequent IP switchingWhen the time, this product is simply a godsend. It is the underlying C language written libcurl, dealing with network requests that call a sharp, with our ipipgo's proxy pool, can make your data capture efficiency directly take off.

Hands-on teaching you to match proxy IP

Install PyCurl first and remember to usepip install pycurlIf you can't install it, go to the official website and download the corresponding version of the whl file. The following code is the core operation:

parameters clarification
PROXY proxy server address
PROXYPORT Proxy port number
PROXYUSERPWD Account Password Authentication

As a chestnut, a residential proxy with ipipgo could be written like this:

import pycurl
from io import BytesIO

buffer = BytesIO()
c = pycurl.Curl()
c.setopt(c.URL, 'http://目标网站.com')
c.setopt(c.PROXY, 'gateway.ipipgo.io') This is the entry point for ipipgo.
c.setopt(c.PROXYPORT, 9021)
c.setopt(c.PROXYUSERPWD, 'username:password')
c.setopt(c.WRITEDATA, buffer)
c.perform()
print(buffer.getvalue())

Why do I have to use a proxy IP?

1. anti-blockingIf the website finds the same IP requesting madly, it will pull you out of the black in a minute. With ipipgo's dynamic proxy pool, each request for a different exit IP, the other side simply can not catch you!
2. speed up

: Some regional servers are just stuck when accessing specific websites, but switching to local proxies immediately smooths things out!
3. Special Scenes: When you need to simulate different device environments, with X-Forwarded-For headers, perfect camouflage!

Troublesome maneuvers in the real world

Here's one that a lot of people don't knowHidden Tips: When setting up a timeout retry, remember to put theCONNECTTIMEOUTrespond in singingTIMEOUTSeparate tunes. For example:

c.setopt(pycurl.CONNECTTIMEOUT, 5) Waiting time to connect to proxy server
c.setopt(pycurl.TIMEOUT, 20) overall request timeout time
c.setopt(pycurl.MAXREDIRS, 3) Maximum redirection 3 times

If you're using ipipgo.Intelligent RoutingThe function can also automatically select the node with the lowest latency. Tested down, the same code with ordinary proxy and ipipgo optimized line, time consumption can be more than 3 times the difference.

Frequently Asked Questions QA

Q: What should I do if I can't connect to the proxy IP all the time?
A: First check the whitelist settings, ipipgo's proxy needs to be bound to use the IP. then try to test the direct curl command to rule out code problems.

Q: What should I do if the return content is garbled?
A: add ENCODING parameter: c.setopt(pycurl.ENCODING, 'gzip,deflate'), or manually decode the response content

Q: How can I tell if a proxy is in effect?
A: In the code add c.setopt(pycurl.VERBOSE, True), it will print the detailed communication process, see the CONNECT message appears in the proxy IP is right!

The Pitfalls of Choosing a Proxy Service Provider

There are a variety of agency services on the market, but many of them areshared IP poolI've been using ipipgo's dedicated line for a little over half a year and the stability is really top notch. The stability of the line is really great, especially theirvolumetric billingmodel, which is particularly friendly to small-scale crawlers, unlike some platforms that have to ask you to buy a package deal.

Finally said a real thing: before to help friends do cross-border e-commerce price monitoring, began to use free agents, 10 requests can fail 8. After switching to ipipgo, the same code grabbed 50,000 pieces of data an hour, the machine did not get hot. So ah, the right tool, can really save a lot of hair.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/31704.html

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