CSV to JSON: CSV to JSON methods

When Crawlers Meet the CSV to JSON Pitfalls

Brothers engaged in data collection understand that CSV and JSON are like soybean milk and doughnuts as often as to ride with. However, some websites have anti-climbing mechanisms that are particularly disgusting, and frequent requests are directly blocked by IP.Dynamic proxy pool for ipipgoThat's where it comes in handy - sending requests in rounds with different IPs, picking the data back up and reformatting it, much better than hardcore blocking.

 Converting while capturing with Pyhton
import csv
import json
from requests import get

proxies = {"http": "http://user:pass@gateway.ipipgo.com:9020"}

resp = get('https://目标网站.com/data.csv', proxies=proxies)
csv_data = resp.text.splitlines()

json_output = []
for row in csv.DictReader(csv_data):
    json_output.append({
        "product name": row["product"],
        "Live price": float(row["price"])
    })

with open('data.json','w') as f.
    json.dump(json_output, f, ensure_ascii=False)

The wild ways of manual conversion

For temporary handling of small files, it is recommended to useThe Notepad Method: First change the CSV table header to English comma delimited, and use regular replacement to wrap each row of data into a JSON object. Remember to use ipipgo'sLong-lasting static IPHang a proxy to avoid the IP being speed-limited when checking information.

Beware of large files

Ever had a 500,000 line CSV to JSON jam? That's when you have to usestreamingDon't read it all into memory at once. Recommended with ipipgo'sDedicated Bandwidth ProxyThe data acquisition and format conversion are synchronized, which directly doubles the efficiency.

 Streaming conversion example
import ijson

with open('bigdata.csv', 'r') as csvfile:: reader = csv.DictReader(csvfile): csv.
    reader = csv.DictReader(csvfile)
    with open('output.json', 'w') as jsonfile: reader = csv.
        jsonfile.write('[')
        
            if i > 0.
                jsonfile.write(',')
            json.dump(row, jsonfile)
        jsonfile.write(']')

Practical QA Triple Strike

Q: What should I do if the Chinese is garbled when converting?
A: Use chardet library to detect encoding, convert to UTF-8 to save. If it's a problem when collecting, we suggest to change to ipipgo'sHigh Stash AgentsSome websites return different encoding formats for different regions.

Q: What if the program crashes halfway through processing?
A: Use breakpoint mode to record the progress of every 1000 lines processed. ipipgo proxy comes with aAutomatic reconnection for dropped connectionsFunctionality, which is similar to this routine

Q：How to optimize the JSON file after conversion?
A: Up gzip compression, or convert to JSON Lines format (one object per line). Use ipipgo'sData Center Level AgentsUploading to cloud storage is much faster than local processing

Why do you recommend ipipgo?

Tested by our own technical team: Converting 10GB CSV data with ordinary proxy takes 47 minutes on average and is easy to interrupt. Switch to ipipgoEnterprise Agent PackageAfter:

• 3X increase in IP survival time
• Stable transfer rate of 80MB/s
• Supports simultaneous creation of 20 conversion tasks

Especially theirIntelligent Routingfeature that automatically matches the fastest nodes, which is so critical for projects that need to convert data in real time.

One last reminder: remember before convertingCleaning data, dealing with null values and special symbols. Just like using a proxy IP to check availability periodically, all are necessary operations to ensure data quality. When encountering complex structure conversion, you can first use the ipipgo provided by theTest IPRun a small sample to make sure it's OK before going to production.