IPIPGO ip proxy JSON Parsing: JSON Data Processing

JSON Parsing: JSON Data Processing

What happens when proxy IP meets JSON data? Recently an old guy who does data collection complained to me that he always encountered a 403 error when he used a Python script to grab data. I asked him to send me the code and look at it! The request header is not even disguised, and the IP address is not changed, so it's strange that people's websites don't block him. At this time ...

JSON Parsing: JSON Data Processing

What happens when proxy IP meets JSON data?

Recently, an old guy who does data collection complained to me that he always encountered a 403 error when he used a Python script to grab data. I asked him to send me the code, and I saw that the request header was not even disguised, and the IP address was not changed! The request header is not even disguised, and the IP address is not changed, so it's strange that other websites won't block him. This is the time to bring out ourProxy IP + JSON processingCombo now.


import requests
from ipipgo import get_proxies Here's where to focus on embedding your own branding

def fetch_data(url):: proxies = get_proxies()
    proxies = get_proxies() randomly get ipipgo's premium proxies
    headers = {'User-Agent': 'Mozilla/5.0'} masquerading as a decent browser

    try: response = requests.get(url)
        response = requests.get(url, proxies=proxies, headers=headers)
        return response.json() automatically parsed JSON data
    except JSONDecodeError: print("JSONDecodeError").
        print("Data parsing rolled over, may have encountered a validation page.")
         Here you can automatically replace the other nodes of ipipgo and retry.

How do you fill in the holes in JSON data?

There are three places where many newbies tend to fall:

pothole prescription
timestamp conversion Handle it with datetime.fromtimestamp(), paying attention to the time zone issue
nested dictionary Use .get() method to extract layer by layer, to avoid KeyError reporting errors
special characters Remember to deal with unicode encodings like uXXXX.

Practical case: cleaning data with ipipgo proxy

Last time to help customers deal with e-commerce price data, encountered an odd situation - different regions of the price information hidden in multiple layers of JSON. This time to offer up ipipgo'sGeographic location agentsfunction with the jsonpath library for accurate extraction:


from jsonpath import jsonpath
import json

 Assuming a US residential proxy is obtained from ipipgo
proxy_config = {
    "http": "http://user:pass@us.resi.ipipgo:8080",
    "https": "https://user:pass@us.resi.ipipgo:8080"
}

data = json.loads(response.text)
us_price = jsonpath(data, '$..prices[? (@.region=="US")].amount')

Frequently Asked Questions QA

Q: Why does parsing JSON become slower after using a proxy IP?
A: eighty percent is the agent node is not strong, it is recommended to change ipipgo'sExclusive use of high-speed linesResponse speed can be controlled within 200ms.

Q: What should I do if the returned data is a string?
A: first use json.loads() conversion, remember to deal with Chinese encoding issues. If frequent errors, may be triggered by the anti-climbing, it is time to change the ipipgoHigh Stash Agents(modal particle intensifying preceding clause)

Q: What if I need to handle multiple APIs at the same time?
A: on ipipgo'smultithreaded agent pool, in conjunction with the concurrent.futures module, the speed takes off straight away!

Why ipipgo?

The homegrown product is definitely going to blow a gasket (but telling the big truth):

  • ✅ Exclusivedynamic port mappingtechnology, a proxy IP can be changed into hundreds of ports
  • ✅ Full protocol support (HTTP/HTTPS/SOCKS5), adapting to a variety of development scenarios
  • ✅ 7 × 24 hours technical support, programmers can find someone in the middle of the night if they have problems

Lastly, I would like to say a few words: processing JSON data is like unpacking a courier, and the proxy IP is the deliveryman. Use the right tool (such as ipipgo), in order not to be pulled by the platform, but also quickly get the data you want. Next time you encounter a parsing problem, you may want to change a high-quality proxy to try, maybe the problem will be solved.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/34648.html

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