Python Parsing JSON Files: API Data Processing Guide

Hands-on Python processing of JSON data returned from APIs

Recently found that many partners in the use of Python docking API, often returned by the JSON format data the whole confused. Today we will chatter about this matter, focusing on how to use the proxy IP with the processing of these data, to ensure that you can get started after reading the actual operation.

Let's give the guys an analogy: the JSON data returned by the API is like an express parcel for online shopping, and the proxy IP is the stagecoach boy who collects the courier for you. With the right method, unpacking is fast and safe. Here are some recommendationsipipgoHome agency services, their home specializes in this, and it's a thief to use.

import requests
import json

 Configure ipipgo proxies (remember to replace your account)
proxies = {
    'http': 'http://用户名:密码@gateway.ipipgo.com:9020',
    'https': 'http://用户名:密码@gateway.ipipgo.com:9020'
}

response = requests.get('Your API address', proxies=proxies)
data = json.loads(response.text)

 Example of processing data
for item in data['results'].
    print(f "Current IP: {item['ip']}, Status: {item['status']}")

The Three Pitfalls of JSON Data Processing

According to the statistics of our technical team, newbies often fall in these places:

Practical skills: how to use the proxy IP is not wasted

used upipipgoWe all know that their IP pool is big, but how to use it more cost-effective? Teach you a trick:

from itertools import cycle

 Create an IP pool cycler
ip_list = [
    'http://ip1.ipipgo.com:9020',
    'http://ip2.ipipgo.com:9020',
    'http://ip3.ipipgo.com:9020'
]
proxy_pool = cycle(ip_list)

 Switching proxies automatically
for _ in range(10):
    current_proxy = next(proxy_pool)
    try: current_proxy = next(proxy_pool)
        response = requests.get(API address, proxies={'http': current_proxy})
         Processing data...
        break
    except: continue
        continue

Frequently Asked Questions QA

Q: Why does data acquisition become faster after using ipipgo's proxy?
A: Their nodes are all BGP lines, automatically selecting the optimal path. Just like the delivery of multiple riders at the same time to take orders, certainly faster than a single thread!

Q: What should I do if I keep reporting encoding errors when processing JSON?
A: Try this: json_data = json.loads(response.content.decode('utf-8-sig'))

Q: How do I arrange agents that need to handle multiple APIs at the same time?
A: RecommendedipipgoEnterprise Edition package, supports multi-threaded concurrency, each request is automatically assigned a different exit IP

Guide to avoiding the pit: these operations must not be done

1. Don't write the API key directly in the code (I've seen people get hacked doing this)
2. Circular requests without delay (easy trigger for wind control)
3. Use free proxies to handle important data (90% are unreliable)

Finally, if you can't figure out the proxy configuration yourself, you can just use theipipgoThe SDK toolkit is provided and they encapsulate various exception handling mechanisms. Newbies are advised to start with a pay-per-use package, and then go on to a monthly service when they get the hang of it.