Python JSON Parser: Efficient Data Processing Library

The most hassle-free way for Python to process JSON data

Engaged in the data capture know, JSON format is like a courier package box - look at all the same, open to see the real chapter. python comes with the json library is enough, but encountered a complex data structure is a little overwhelmed. At this time it is necessary to pull out the proxy IP this magic weapon, especially with ipipgo quality proxy pool, can effectively avoid the embarrassment of the target site IP blocking.

import json
import requests

 Example of proxy configuration with ipipgo
proxies = {
    'http': 'http://username:password@gateway.ipipgo.com:9020',
    'https': 'http://username:password@gateway.ipipgo.com:9020'
}

response = requests.get('https://api.example.com/data', proxies=proxies)
data = json.loads(response.text)

 Handling nested data for tweaking
price = data.get('product', {}).get('detail', {}).get('price', 'unknown')

How proxy IP makes JSON processing smoother

A lot of newbies tend to fall into theIP blockedIn this pit. For example, to catch the price of e-commerce, a dozen consecutive requests will be blacked out. With ipipgo's rotating proxy function, each request automatically switches the export IP, with the following code template, guaranteed that the data collection is stable:

from itertools import cycle

 Create ipipgo proxy pool (example address)
proxy_pool = cycle([
    'gateway.ipipgo.com:9010',
    'gateway.ipipgo.com:9011', 'gateway.ipipgo.com:9011', 'gateway.ipipgo.com:9010',
    'gateway.ipipgo.com:9012'
])

def get_with_proxy(url).
    proxy = next(proxy_pool)
    return requests.get(url, proxies={
        
        "https": f "http://user:pass@{proxy}"
    }, timeout=10)

A practical guide to avoiding the pit

Ever been in one of these situations?

Frequently Asked Questions QA

Q: What should I do if the proxy IP is invalid after using it?
A: Select ipipgo's dynamic residential agent to automatically maintain the validity of the IP pool, API real-time update of available nodes

Q：What should I do with GBK encoded JSON data?
A: first use response.content.decode('gbk') to transcode and then parse, remember with ipipgo's domestic BGP line

Q: How can I verify if the agent is in effect?
A: Add a test request in the code: print(requests.get('http://ip.ipipgo.com', proxies=proxies).text)

Performance Optimization Tips

When working with millions of JSON data, try these two routines:

1. Replace the standard library with ujson for more than a 3x speedup!
2. Work with ipipgo's static long-lasting proxy to reduce authentication time-consumption

Finally, a real case: a price comparison platform with an ordinary agent was blocked 20 times a day, switch ipipgo commercial agent program, running for 15 days zero interruption, data collection efficiency directly doubled. This thing is just like changing the oil in a car, it's inconspicuous, but it can save your life at critical moments.