Python read JSON: Python proxy read JSON file

Hands-on with Python proxy IP read JSON files

Recently found that many partners in the use of Python to deal with JSON data, often encountered the problem of access restrictions. Here we teach you to useproxy IPThis artifact to break out of the rut, especially usipipgoThe dynamic residential agent, which has been tested to solve the 90% access barrier.

JSON reading basic operations

Let's look at the regular JSON reading methods first:

import json

with open('data.json', 'r') as f:: data = json.load(f)
    data = json.load(f)
print(data['ip_address'])

But when it comes to the need toReal-time access to network dataIn some cases, such as to read the JSON returned by an API, a direct request is easy to trigger the anti-climbing mechanism. This time you need to give the request to wear a "vest" - that is, the proxy IP.

Proxy IP real-world configuration

in order toipipgoThe proxy service is implemented with the requests library as an example:

import requests

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

resp = requests.get('https://api.example.com/data', proxies=proxies)
json_data = resp.json()
print(json_data['price'])

Be careful to putUser name and passwordReplace yourself in theipipgoRegistration credentials, port number is selected according to the type of package purchased. It is recommended to usesession holdfeature that can avoid frequent authentication.

Agent Type Selection Guide

Handbook on Mine Clearance of Common Problems

Q: What should I do if I always get JSON decoding errors?
A: First check if the proxy is working by adding aprint(resp.status_code)If it is 403, it means that the IP is banned, so we suggest you to change it toipipgoof quality agents.

Q: What should I do if my agent is slow?
A: ① Use the same region proxy node ② Reduce the frequency of single IP request ③ ContactipipgoCustomer service opens exclusive channel

Advanced Tips: Automatically Changing IPs

When batch processing is required, it is recommended to use ipipgo'sAPI Dynamic AcquisitionAgent:

from itertools import cycle

def get_proxies().
     Call the ipipgo API to get the latest list of proxies.
    return cycle(['ip1:port', 'ip2:port', 'ip3:port'])

proxy_pool = get_proxies()
for _ in range(10).
    current_proxy = next(proxy_pool)
     Initiate the request with the new proxy...

This automatically switches IPs for each request, withipipgoThe efficiency is directly doubled by the use of concurrent packages.

Special reminder to avoid pitfalls

1. When an SSL certificate error is encountered, add the following to the request parameter.verify=False(test environment only)
2. Return data garbled remember to setresp.encoding = 'utf-8'
3. Recommended purchases for important projectsipipgoEnterprise package with automatic retry for failed requests

As a final rant, don't just look at price when choosing an agency service. For exampleipipgoThis provides7×24 hours technical responseIt's a good solution to save your life at the critical moment. Last time our crawler project was blocked IP, their engineers gave a solution in 10 minutes, really reliable.