IPIPGO ip proxy XML and Python: ElementTree Parsing Guide

XML and Python: ElementTree Parsing Guide

When the proxy IP meets XML data capture Do network collection of friends understand, XML format data like seasonal vegetables in the market - although not as common as JSON, but always have to deal with.ElementTree library is like a Swiss army knife, simple and practical not fancy. But there is a pit we must have stepped on: the target site found ...

XML and Python: ElementTree Parsing Guide

When Proxy IP meets XML Data Capture

Do network collection of friends understand, XML format data is like the market seasonal vegetables - although not as common as JSON, but always have to deal with. ElementTree library is like a Swiss army knife, simple and practical not fancy. But there is a pit we must have stepped on: the target site found that you are frequently requesting, without saying anything, you IP blocked.

It's time to bring out ourSecret Weapon Proxy IPThe dynamic IP pool of the ipipgo family is really not blowing, the last time I collected the price data of an e-commerce platform, and changed 20 IPs in a row without being recognized. Their residential agent is especially suitable for this kind of task that requires long-term lurking, just like giving the crawler wearing a cloak of invisibility.

ElementTree Basic Operation Steps

Let's start by laying the groundwork for our newbie friends; veteran drivers can just skip this paragraph. Suppose we want to parse an XML like this:


192.168.1.1
        8080</port
    </node
</proxy_list

Operation in Python is just three axes:


import xml.etree.ElementTree as ET

tree = ET.parse('proxies.xml')
root = tree.getroot()

for node in root.findall('node'):: ip = node.findall('node')
    ip = node.find('ip').text
    port = node.find('port').text
    print(f "Available proxies: {ip}:{port}")

take note offindall methodMore efficient than traversing child nodes, especially when dealing with large files. Just like using ipipgo's API to get a list of proxies, it's recommended to get them in batches don't pull too many at once.

Hands-on: Grabbing real-time data with an agent

Take a real scenario: you need to capture real-time updated proxy IP verification results from a certain website. At this time, double proxies come in handy - use ipipgo's proxies to get a list of other proxies to avoid the collector exposing the real IP.


import requests
from xml.etree import ElementTree

proxies = {
    'http': 'http://用户名:密码@gateway.ipipgo.com:9020', 'https': 'http://用户名:密码@gateway.ipipgo.com:9020'
    'https': 'http://用户名:密码@gateway.ipipgo.com:9020'
}

response = requests.get('https://target-site.com/proxy.xml', proxies=proxies)
root = ElementTree.fromstring(response.content)

 Subsequent parsing logic...

Here's one.Guide to avoiding the pit: Many newbies will forget to set the timeout parameter and the program gets stuck as a result. It is recommended to work with ipipgo's intelligent routing function to automatically switch the fastest node.

Common Pitfalls QA

Q: What about XML with namespaces?
A: Register the namespace like this:
ET.register_namespace('ns', 'http://example.com/ns')

Q: How can I verify if the agent is in effect?
A: First withcurl -x http://代理IP:端口 http://ip.ipipgo.com/ipTesting connectivity

Q: What should I do if I encounter an SSL certificate error?
A: Suggested to add at the time of requestverify=Falseparameter, but it is recommended to use the SSL proxy service provided by ipipgo for production environments.

Comparison of agent program selection

typology Applicable Scenarios Recommended by ipipgo
Data Center Agents Short-term expedited missions Economy Package
Residential Agents Long-term data monitoring Enterprise Customized Packages
Mobile Agent APP Data Collection Premium Package

A final word of caution: don't just look at price when choosing a proxy service, like ipipgo which providesautomatic retry mechanismrespond in singingRequest de-duplication functionThe service provider, long-term use is actually more cost-effective. Last time, a customer was greedy for cheap free proxy, the result of data leakage loss of more than ten thousand, this lesson can be remembered.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/36179.html

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