IPIPGO ip proxy Python read JSON files: JSON data processing

Python read JSON files: JSON data processing

JSON file in the end is a what the hell? We engaged in crawling brothers should have seen the .json suffix file, this product is a notepad with format. For example, from ipipgo background to get the proxy IP list, nine times out of ten are this format. For example, if you open it, you may see this...

Python read JSON files: JSON data processing

What the heck is a JSON file?

We engaged in crawling brothers should have seen the .json suffix file, this product is a notepad with format. For example, from ipipgo background to get the proxy IP list, nine times out of ten are this format. For example, you can open it and see the structure:


{
    "proxies": [
        {"ip": "123.45.67.89", "port": 8080}, {"ip": "98.76.54.32", "port": 3128}, {"proxies": [
        {"ip": "98.76.54.32", "port": 3128}
    ]
}

Watch out for this in thecurly brackets over middle brackets (math.)This is the standard way of writing JSON. Sensei has to straighten out this structure first, whether it's dealing with proxy IPs or other data.

Python how to eat this bowl of "JSON rice"?

Using Python to process JSON files is actually as simple as getting high, in three main steps:


import json

 Step 1: Open the box
with open('ipipgo_proxies.json', 'r') as f:
    data = json.load(f)

 Step 2: Pick and sort
for proxy in data['proxies'].
    print(f "Available proxies: {proxy['ip']}:{proxy['port']}")

 Step 3: Update the inventory (in ipipgo format for example)
data['proxies'].append({"ip": "76.135.28.41", "port": 8888})
with open('new_proxies.json', 'w') as f.
    json.dump(data, f, indent=4)

Here's the kicker! When using ipipgo's proxy service, the JSON format returned by their API is particularly well-organized, and the field names are all fixed lowercase letters, which is particularly friendly for batch processing.

How do proxy IPs and JSON hook up?

Old drivers engaged in data collection know that the proxy IP and JSON file that is the golden partner. Take a real scenario:


import requests
from json.decoder import JSONDecodeError

proxies = {
    'http': 'http://ipipgo_username:ipipgo_password@gateway.ipipgo.com:9021',
    'https': 'https://ipipgo_username:ipipgo_password@gateway.ipipgo.com:9021'
}

try.
    response = requests.get('https://api.example.com/data', proxies=proxies)
    data = response.json() automatically converted to dictionary
    print(data['results'][0]['ip_address'])
except JSONDecodeError: print("data['results'][0]['ip_address']")
    print("This site is not returning proper JSON!")

Here's one.Hidden Tips: Proxy support for ipipgoUsername and password authentication is written directly in the proxy addressThe design really saves time by not having to manually process the authentication every time.

A practical guide to avoiding the pit

There are a few common fallouts for newbies:

pit stop correct posture
json.load() reported encoding error Add encoding='utf-8' to open().
KeyError field not found First use data.get('field name') to fetch the value safely
Failed request due to proxy IP failure With ipipgo's automatic switching function

question-and-answer session

Q: Why should I use ipipgo's proxy with JSON?
A: Because their API returns a standardized format and also supports thebulk accessrespond in singingStatus Query, which is directly converted to a dictionary and works.

Q: What should I do if I have a memory burst when handling large files?
A: Use ijson library to stream read, or directly call ipipgo's paging API, don't pull all the data at once.

Q:json.dump save the Chinese become garbled?
A: Add two parameters to keep the peace: ensure_ascii=False, encoding='utf-8′.

Finally, a piece of trivia: ipipgo's proxy list JSON hides asecret fieldIt's called "region_code", with this you can accurately select the export IP of a specific region, I won't tell the general public!

我们的产品仅支持在境外网络环境下使用(除TikTok专线外),用户使用IPIPGO从事的任何行为均不代表IPIPGO的意志和观点,IPIPGO不承担任何法律责任。

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