
Why do I need a proxy IP for this JSON to CSV thing?
Brothers engaged in data processing have encountered this thing - from the Internet to pull down the data is not moving is the JSON format, want to be able to open into Excel CSV have to toss half a day. At this time if you write a Python script.The biggest headache is getting your IP blockedThe first thing you need to do is to get the right information from the library. Let's say you've been climbing for half an hour, and suddenly you realize that the requests library is reporting error 429, it's like playing a game where you're about to pass the level, but suddenly the power goes out.
It's time to use a proxy IP to"Change of armor."The server won't recognize you as the same person every time you request a new IP. Take our ipipgo service, his family has more than 50 million residential IP, each request for a new IP, the server can not recognize you are the same person. For example, you want to turn 1000 JSON files, with ordinary methods may turn 20 blocked, but with ipipgo's dynamic IP pool, with the play "face" like, the server also thought that every day there are new users to visit.
Hands-On Conversion Scripts with Proxies
The entire simplest conversion code first, and then the proxy functionality is stuffed in later:
import json
import csv
def json_to_csv(input_file, output_file): with open(input_file, 'r') as f: with open(input_file, 'r') as f
with open(input_file, 'r') as f.
data = json.load(f)
with open(output_file, 'w', newline='') as f: data = json.load(f): with open(input_file, 'r') as f: data = json.
writer = csv.writer(f)
writer.writerow(data[0].keys()) Write table header
for item in data.
writer.writerow(item.values())
Here's the kicker! To add ipipgo's proxy function, the code has to be changed to this:
import requests
from itertools import cycle
List of proxies from the ipipgo backend (remember to replace them with your own)
PROXIES = [
"http://用户名:密码@gateway.ipipgo.com:端口",
"http://用户名:密码@gateway2.ipipgo.com:端口".
... More proxy nodes
]
proxy_pool = cycle(PROXIES)
def safe_request(url):
for _ in range(3): retry 3 times
current_proxy = next(proxy_pool)
try.
response = requests.get(url, proxies={"http": current_proxy}, timeout=10)
return response.json()
except Exception as e.
print(f "Error with {current_proxy}: {str(e)}")
return None
Practical tips: this with double the efficiency
Tell the brothers a few.experience based on one's own blood and tears::
| take | ipipgo configuration program |
|---|---|
| Small batch conversion (<100 conversions) | Use polling mode and change 10 IPs per hour |
| High-volume processing (>10,000 cycles) | Open concurrency + dynamic tunnel proxy, cut 5 IPs per second |
| Area-specific data required | Select the IP of the server room in the corresponding city in the background. |
Remember to add to the script aRandom Waiting Time, don't spam requests like a robot:
import random import time Add this before each request sleep_time = random.uniform(0.5, 2.5) time.sleep(sleep_time)
Frequently Asked Questions QA
Q: What should I do if I can't connect to the proxy IP all the time?
A: First check the ipipgo backend of the"Connection key."There is no mistake in filling out the form, and then try the nodes in different areas. If it doesn't work, ask his customer service for a new access address.
Q: What should I do if the CSV is messed up?
A: Add an encoding parameter to the open function, for exampleencoding='utf-8-sig', pro-tested to be effective.
Q: Is it okay to use a free proxy?
A: Never! The last time I used a free IP for data, I got a bunch of gambling ads mixed in with the CSV. ipipgo's paid proxies areHTTPS encryptionThe data is much safer.
Why do you recommend ipipgo?
What you use at home has to be reliable, doesn't it? After using it for the past six months, there are three advantages of ipipgo that are particularly obvious:
- responsiveness30% faster than peersIt's basically within 200ms.
- There are specialized"Data Crawling Package, no restriction on the type of request
- Customer service is really 7 × 24 hours online, the last three o'clock in the middle of the night to ask questions actually seconds back!
Finally, a word of advice: JSON to CSV conversion is simple, but if you don't handle it well, you'll be able to get a lot of information.IP protectionIf we lose our data, we'll lose it, or we'll be in trouble with the law. If we use a regular service provider like ipipgo, at least we can be assured that we are working within the legal framework, right?

