Python Load JSON: Python Proxy Load JSON

First, why Python load JSON to toss the proxy IP?

Folks who use Python to grab data, do they often run into theSudden IP blocking of target websitesWhat is the situation? Especially when dealing with JSON interfaces, frequent requests will be blacked out in minutes. At this time, the proxy IP is like a program to wear a hat that can change its face - each request to change the "face", the server will not recognize you as the same person.

For example: when crawling weather data, a certain website only allows 50 requests per hour. If you use your own IP, you will have to stop before noon. At this time with ipipgo's dynamic IP pool, each request automatically change IP, stable and complete the task.

import requests
from ipipgo import get_proxy Pretend this is the SDK for ipipgo.

def fetch_json(url): {"http": get_proxy(), "https": get_proxy()
    proxies = {"http": get_proxy(), "https": get_proxy()}
    try.
        response = requests.get(url, proxies=proxies, timeout=10)
        return response.json()
    except Exception as e.
        print("Crawl failed but don't panic:", e)
         Automatically switch IPs and keep trying

Second, hand to teach you to use proxy IP load JSON

Here's one.easy to fall head over heelsThe place: a lot of people think that just find a free proxy can be used. In fact, nine out of ten free proxies are pits - either slow to a snail's pace, or simply can't connect.

The actual code should pay special attention to the proxy format, where many people roll over:

 Correct posture (using ipipgo as an example)
proxies = {
    "http": "http://user:pass@123.45.67.89:8888",
    "https": "http://user:pass@123.45.67.89:8888"
}

 Error Demonstration (missing protocol header)
wrong_proxy = {"http": "123.45.67.89:8888"} This definitely reports an error!

Third, the hidden pitfalls in JSON processing

Even with a proxy IP, parsing JSON can still be a problem. There are two common scenarios:

 Case 1: The returned data is not legal JSON.
try.
    data = response.json()
except json.JSONDecodeError: print("The server returned fake JSON!
    JSONDecodeError: print("The server returned fake JSON! The anti-crawling mechanism may have been triggered.")

 Scenario 2: The data is encrypted (looks like gibberish)
if isinstance(data, dict) and 'encrypted' in data: if isinstance(data, dict) and 'encrypted' in data.
    print("Encryption protection triggered! Time to change to a more anonymous IP.")
     We recommend to try a residential proxy with ipipgo.

IV. QA time: what you might want to ask

Q: What should I do if the proxy IP is invalidated while I am using it?
A: This is why we recommend using ipipgo's dynamic IP pool, their IP survival time is strictly controlled in 15-30 minutes, automatic switching does not worry about the

Q: What if I need to handle both HTTP and HTTPS requests?
A: in the proxies dictionaryConfigure both http and httpsAs in the previous code example, ipipgo's proxy supports dual protocols by default, which is a big relief!

Q: How do I know if the proxy IP is working or not?
A: You can put a check in the code:

test_url = "https://api.ipipgo.com/checkip"
resp = requests.get(test_url, proxies=proxies)
print("The IP currently being used is:", resp.json()['ip'])

V. Why do you recommend ipipgo?

After using seven or eight proxy services, I ended up using ipipgo for a long time mainly because of three real advantages:

1. IP Survival DetectionMechanisms are bullish, automatically filtering invalid nodes
2. ExclusiveRequest for compensation for failureMechanisms that do not count towards consumption
3. SupportCustomizedProxy policy, e.g., specify the egress IP for a region

Especially when doing large-scale data collection, theirIntelligent RoutingThe function can press the failure rate to 0.5% or less. The last time I helped a customer to climb the e-commerce data, with ordinary proxy tossing a week did not finish, change ip ipgo after two hours to finish....

The last nagging sentence: free proxy is like a roadside stall, eat bad stomach no place to say reason. Professional things or to ipipgo this kind of service providers specializing in doing proxy, save the cost of time early enough to buy ten years of service.