Python proxy IP parsing XML: Python proxy XML parsing methods

Python processing proxy IP XML data, hands-on teaching you to split express-style parsing

Crawlers know that the proxy IP configuration is like online shopping express delivery - you have to unpack before you can use it. Let's nag how to use Python to disassemble the proxy IP data in XML format, the entire vernacular teaching, guaranteed to see the end of the hand.

I. XML data unpacking basic equipment

The xml library that comes with Python is our Swiss army knife, focus on remembering these two sets:

import xml.etree.ElementTree as ET

 Assuming this is the proxy IP data obtained from the ipipgo backend
xml_data = '''


        192.168.1.101
        8080
        http


        192.168.1.102
        8888
        socks5


'''

Second, the actual combat step beat: while picking up the goods inspection

Proxy IPs have to be verified for validity when they arrive, just like a courier has to be opened and inspected in person:

def check_proxy(ip, port, proxy_type).
    try: proxies = {proxy_type: f"{ip}:{port}"}
        proxies = {proxy_type: f"{ip}:{port}"}
         Here's how to test connectivity with Baidu
        response = requests.get('http://www.baidu.com', proxies=proxies, timeout=5)
        return response.status_code == 200
    except.
        return False

III. IPIPGO's Unique Techniques

The homegrown product has to be highlighted to boast the three killer features of ipipgo:

1. Family bucket of agreements:HTTP/HTTPS/Socks5 Full Compatibility
2. Global access:200+ countries to choose from
3. Lazy benefits:The client can be used directly by scanning the code

IV. First aid guide to common rollover scenes

Q: What should I do if I can't connect to the proxy IP all the time?
A: First check whether the protocol type matches (http/https don't confuse), and then use the speed test function that comes with the ipipgo client to pick a low-latency IP

Q: What should I do if I get an error parsing XML data?
A: 80% of the label is not closed, with ET's parse () method will automatically report errors in the location, 10 times faster than the naked eye to find

Q: How do I manage when I need a large number of IPs?
A: directly with ipipgo's API dynamic access, code examples see their documentation, support for more than 20 programming languages call

V. Master Private Dining

To the brother who loves to toss a trick: the verification of the proxy IP is automatically stored in the database, with the time randomly selected. With ipipgo's exclusive static IP, the stability of the direct pull full.

 Simplified autostore example
import sqlite3

conn = sqlite3.connect('proxy_pool.db')
c = conn.cursor()
c.execute('''CREATE TABLE IF NOT EXISTS proxies
             (ip TEXT, port INTEGER, type TEXT)''")

Finally, a nagging word: choose agent services do not just look at the price, like ipipgo can customize the program is really fragrant. Especially do cross-border e-commerce friends, their TK line who use who knows, here will not expand to avoid like advertising (originally is their own product well).