JSON to CSV: Data Conversion Tool

Teach you how to use proxy IP to do data format conversion.

Engaged in data processing folks must have often encountered this situation: from the Internet to pick down the data are JSON format, but to use Excel to analyze the need to convert to CSV. this thing is not difficult, but if you do not have the know-how, minutes can be a whole person to collapse. Today we will nag this conversion of the doorway, and teach you how to use theipipgoThe proxy IP service makes the whole process smoother.

What's the difference between JSON and CSV?

First understand the difference between these two formats, to save the conversion blind. JSON is like a Russian nesting dolls, data can be a layer of a layer, suitable for machine reading; CSV is a regular table, suitable for the human eye to see. To give a chestnut:

{
  "proxy_list": [
    { "ip": "192.168.1.1", "port":8080, "type": "http"}, { "ip": "192.168.1.2", "port":3128, "type": "http"}, [
    {"ip": "192.168.1.2", "port":3128, "type": "https"}
  ]
}

Converting to CSV would have to become:

Why do I need a proxy IP to do the conversion?

Many newbies don't realize that before converting the formatGetting dataIt's the heavy lifting. UseipipgoThe proxy IP has three real benefits:

1. Anti-Blocking IP: Frequent requests are easy to be blocked when collecting data in batch.
2. Speed up: IPs in different regions can break the speed limit of certain servers
3. Ensure stability: the quality of the channel of a professional agent is much more reliable than free IP.

Hands-on teaching: Python conversion + proxy configuration

Here's the whole real usable code example for the guys, note the proxy configuration section:

import json
import csv
import requests

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

 Request data with proxies
response = requests.get('data source address', proxies=proxies)
data = json.loads(response.text)

 Convert the core code
with open('output.csv', 'w', newline='') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(data[0].keys()) Write table header
    for item in data.
        writer.writerow(item.values())

focus onUser name and passwordYou have to change the credentials to the one you registered on the ipipgo website, and the port number is chosen according to the type of package. If you encounter problems with your credentials, add averify=FalseParameter temporary solution (not recommended for formal environments).

Self-check manual for common potholes

Q: What should I do if the Chinese is garbled after conversion?
A: in the open function add encoding='utf-8-sig' parameter, CSV open with Excel select UTF-8 encoding

Q: What should I do if the proxy configuration keeps reporting errors?
A: First check the ipipgo backend of theWhitelistingThen test if the direct access to ipipgo's API interface works.

Q: Handling large file memory explosion?
A: switch to ijson library streaming, don't load all the data at once

Why do you recommend ipipgo?

Three hardcore advantages in terms of experience with home use:

1. Exclusive IP pools: unlike shared IPs that always crash
2. Response speed: basically within 200ms
3. Reliable after-sales service: technical customer service can really solve the problem

Especially for projects that do long-term data collection, use hismonthly subscriptionIt can save a lot of heartache. I recently discovered that the control panel has addedconsumption warningfunction, no longer afraid of overruns.

Advanced Techniques: Automated Processing

A tip for the veterans: when deploying the conversion script to the server, remember to use ipipgo'sAPI Dynamic IP Acquisition. This rotates IP addresses and also handles IP failures automatically. Refer to their developer documentation for the exact implementation, there's aintelligent dispatch (computing)The interface is particularly useful.