Data validation tools: automated dirty data cleaning programs

How exactly do you toss a data validation tool? Hands-on teaching you to use proxy IP to wash data

Do data capture buddies must have met this kind of shit: hard work to climb back to the data, either with garbled code, or mixed with expired information, the worst thing is that some data look quite normal, the actual use of the chain on the fall. This time we have to rely onAutomated cleaning toolsto clean up the mess, but the traditional method has an Achilles' heel--Easy to be blackmailed by the target websiteThe

Proxy IPs are your data sieve

To give a grounded example, data cleansing is like picking up gold in the garbage. If you reach out directly to pull out, not only easy to scratch your hand (by the site blocked IP), the efficiency is also particularly low. This time we have to useProxy IP as a sieveIt's a great way to filter out the dirty data while still protecting your true identity.

Take our ipipgo service, their dynamic IP pool has two masterpieces:
1. IP Rotation: Automatically change your armor with every request, so the site won't even remember who you are!
2. quality control: automatically eliminating slow responding nodes, stricter than a grandmother picking vegetables

import requests
from ipipgo import get_proxy This is the official SDK for ipipgo.

def data-validation(url): proxy = get_proxy(type='https')
    proxy = get_proxy(type='https') Automatically fetch fresh IPs.
    try: resp = requests.get(url)
        resp = requests.get(url, proxies={'https': proxy}, timeout=8)
        if resp.status_code == 200:: return Purge Data (resp.status_code == 200)
            return clean data(resp.text) Your clean function.
    except Exception as e.
        print(f "Rollover with {proxy}, error message: {str(e)}")
        return None

Four steps to build a cleaning line

Here's a practical program to follow that will save you 80% of tossing time:

1. Proxy pool configuration

Create a dedicated channel in the ipipgo backend, and it is recommended that you select theMixed Residential + Data Center IPIt's a good idea. Don't feel bad about that money, the hours lost by being blocked once is enough to buy three months of service.

2. Design of validation rules

3. Exception handling mechanisms

Don't just give up when you encounter a validation failure, set up three levels of retries:
- First failure: wait 3 seconds to change IP
- Secondary failure: switching protocol type (HTTP/HTTPS)
- Three failures: thrown into dead letter queue for manual processing

Frequently Asked Questions First Aid Kit

Q: What should I do if I have a few websites that are particularly difficult to work with?
A: Turn it on in the ipipgo backendBrowser Fingerprint Emulationmode, this feature can disguise your request like a real person to operate, personally test the anti-climbing strict e-commerce site is particularly useful.

Q: Can't get the cleaning speed up?
A: Remember this golden combination:
1. preload ipipgo's nodes into memory
2. Replacing synchronous operations with asynchronous requests
3. Set a reasonable time-out period (5-8 seconds recommended)

Tell the truth.

I've used 7 or 8 proxies, but I ended up using ipipgo for a long time.Don't play around.The first thing you need to do is to get your hands dirty. Others always brag about millions of IP pools, but in reality they are full of oversold crap nodes. He is a bit more expensive, but it's better.IP survival rate can reach over 92%, especially suitable for data cleansing scenarios that require stability.

Two final reminders of two potholes for newbies:
1. don't use free agents in your cleaning tools. that stuff is more toxic than gutter oil.
2. Clean up the log files regularly, otherwise the hard disk will explode in minutes.