IPIPGO ip proxy Python crawls credit card data: compliance method warning

Python crawls credit card data: compliance method warning

When the crawler meets the credit card data, this thing really have to take it easy Recently, there are old iron in the background asked, want to use Python to get some credit card discount information, the results just grabbed two pages of IP on the blocked. In this case, we have to first throw a pot of cold water - climbing financial data is like walking on a tightrope, do not step on the red line of compliance. Let's make it clear, ...

Python crawls credit card data: compliance method warning

When Crawlers Meet Credit Card Data, It's Time to Take It Easy

Recently, some old iron asked in the background, want to use Python to get some credit card discount information, the results just grabbed two pages of IP was blocked. This thing, I think, have to first pour pots of cold water--Climbing financial data is like walking a tightrope, don't step on the red line of complianceThe first thing we need to do is make it clear that this article is only about the topic of this article. Let's be clear, this article is only aboutCompliance Grabbing Public DataFor example, the credit card benefits that are publicized on the bank's website and the private data that you have to log in to see can't be touched.

Why proxy IPs are a lifesaver?

Now the site is very fine, the same IP high-frequency access immediately black. The other day personally see a case: a brother with his own broadband to climb a bank activity page, the first 10 minutes well, the 11th minute directly jump CAPTCHA, and then after 5 minutes IP completely cool. This time we have to rely onProxy IP pools are rotatedIt's like playing a game of chicken and constantly changing skins so that the opposite side can't figure out the routine.

take No need for an agent. Proxy with ipipgo
Number of requests per day ≤200 times ≥5000 times
probability of being blocked 99% <5%

Doorways in the real-world code

Here's one.Compliance Model Code(Remember not to mess around with the parameters to make things worse):

import requests
from itertools import cycle

 Proxy pool provided by ipipgo (for demo purposes, actually use their API to get dynamic IPs)
proxy_pool = cycle([
    'http://user:pass@gateway.ipipgo.com:30001',
    'http://user:pass@gateway.ipipgo.com:30002'
])

url = 'https://某银行官网/公开的信用卡列表'
headers = {'User-Agent': 'Mozilla/5.0'} act like a normal browser

for page in range(1, 5): crawl only the first 5 pages, it's not too much!
    proxy = next(proxy_pool)
    try: response = requests.get(url)
        response = requests.get(url, params={'page': page}, proxies={"http": page}, proxies={"http": page})
                              params={'page': page}, proxies={"http": proxy}, timeout=10)
                              timeout=10)
         Parsing the data here avoids sensitive fields, and only takes the card name, annual fee, and other public information.
    except Exception as e.
        print(f'Failed to access page {page} with {proxy}: {str(e)}')

focus onThe proxy of ipipgo should be equipped with account password authentication, don't be silly to use free proxy, those early websites marked as a crawler dedicated IP.

I've stepped over these potholes for you.

1. Never turn on multi-threaded rage, set theInterval of 3 seconds or moreOtherwise, no amount of agents can save them.
2. Stopping immediately when encountering a CAPTCHA indicates that the anti-climbing mechanism has been triggered
3. Don't upload data locally, especially card numbers and CVVs.Don't touch it.
4. ipipgo's backend can see how each IP is being used.Timely cleanup of anomalous nodes

QA time

Q: Is it safe to 100% with a proxy IP?
A: Wake up! Compliance is the talisman. Even if you use ipipgo, if you request 50 times per second, the gods can't save you!

Q: Why do you recommend ipipgo?
A: His family's financial-grade agent pool specializes in makingBank Website AdaptationUnlike some proxies that can't even validate SSL certificates.

Q: What should I do if I encounter a 403 error?
A: Three steps: 1. change IP 2. clear cookies 3. check if User-Agent exposes Python logo

I'll tell you the truth.

Crawl the data.Technology is just a tool, it's how you use it that countsThe first thing you need to do is to get your hands dirty. Just like a chopper can cut vegetables can also hurt people, proxy IP with a good can help e-commerce to do price monitoring, with a crooked minutes to go in for tea. Emphasize again: all the technical solutions in this article are only applicable to theCompliance Collection of Public DataIf you're not sure whether or not to climb, it's best to contact the website's customer service directly and ask. If you're not sure whether to climb or not, it's safest to contact the website's customer service directly and ask.

我们的产品仅支持在境外网络环境下使用(除TikTok专线外),用户使用IPIPGO从事的任何行为均不代表IPIPGO的意志和观点,IPIPGO不承担任何法律责任。

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