
Python to JSON in the end what is the use? Teach you to play with the data format!
Engaged in crawling the old iron know, the data back to often have to be stored in json format. For example, with a proxy ip to capture the price data of an e-commerce platform, the return may be a mess of strings. This time you have to use Python's json library to tidy up these data neatly.
import json
Raw data (simulated proxy ip return result)
proxy_data = {
"ip": "202.96.128.86",
"port": 8080,
"expiry": "2024-12-31"
}
Convert to json string
json_str = json.dumps(proxy_data, indent=2)
print("Formatted json:", json_str)
Hands-on tips for proxy IP scenarios
When many brothers use proxy ip to do data collection, they often encounteredConnection timeoutorIncorrect return data format. Here we recommend using ipipgo's proxy service, their API return are standard json format, easy to deal with thieves.
| Problem scenarios | prescription |
|---|---|
| Proxy IP authentication failure | Check if the account password is usedusername:password@ip:portspecification |
| Response content garbled | Setting the requests'response.encoding='utf-8′ |
Full code example with proxy
The following code demonstrates how to get the data through ipipgo's proxy and convert it to structured json:
import requests
import json
proxies = {
"http": "http://你的账号:密码@gateway.ipipgo.com:9020",
"https": "http://你的账号:密码@gateway.ipipgo.com:9020"
}
try.
response = requests.get('http://example.com/api', proxies=proxies, timeout=10)
data = json.loads(response.text)
print("Parsed data:", data)
except json.JSONDecodeError: print("Parsed data: ", data)
JSONDecodeError: print("Oops, data parsing error!")
A must-see QA session for beginners
Q:Why do I always get an error when converting json?
A: 80% of the return data has special characters, first use thejson.dumps()Try the ensure_ascii=False parameter of the
Q: Do I need to maintain my own IP pool with ipipgo proxy?
A: Not at all! Their homeDynamic GatewayAvailable IPs are automatically assigned, so it's much less laborious than trying to do it yourself!
Q:Processing large files json will memory explosion how to do?
A: Switch to streaming parsing with the ijson library, or let ipipgo's tech support help you optimize the request frequency
Guide to avoiding the pit
Recently, I encountered a typical case: a customer used a free proxy to crawl data, and the returned json was mixed with theHTML error page. This is a situation where using ipipgo'sQuality Control APIIt can be circumvented in advance, and their proxy nodes have stateful detection, which is much more reliable than wild IPs.
Lastly, I'd like to remind the guys to remember to do a good job when handling json.exception capture. Especially when using a proxy, the network environment is complex, it is recommended to add a retry mechanism. Proxy services like ipipgo come with aautomatic reconnectionfunction, with json parsing half the effort.

