Proxy IP for Sports Data: Proxy Collection of Sports Event Data

Hands-on teaching you to use proxy IP to catch sports event data

Engaged in sports data collection peers know that now the site anti-climbing more and more strict. Last week a brother told me that he wrote a crawler script to catch the real-time scores of a soccer league, the results just ran half an hour IP was blocked. This is something I have too much experience, today with the guys nag how to use proxy IP to solve this pain point.

Why do you have to use a proxy IP?

A real case in point: during the Premier League last year, a data analytics company needed to collect real-time match dynamics from 20 platforms. At first, they used local IP to capture directly, and the result was recognized as a crawler in less than 15 minutes. Later, they switched to a dynamic residential proxy, which was recognized as a crawler in less than 15 minutes.Request success rate shot straight up from 37% to 92%This is the power of proxy IPs.

All of the major sports data platforms now have these defenses:

1. request frequency monitoring (blackout if more than 30 times per minute)
2. user behavior analysis (suddenly visit a large number of specific pages)
3. geographic location verification (some live events have geographic restrictions)

Three Tips for Choosing a Proxy IP

There are all sorts of agency services on the market, and I recommend focusing on these three indicators:

Like the ipipgo Dynamic Residential Proxy we use, the measured response time for requesting the official Premier League website is stable at around 400ms. TheirTK LineEspecially friendly to the sports data platform, before there is a collection of basketball tournament data project, with the ordinary agent success rate of only 70%, replaced with TK dedicated line directly dry to 98%.

Sample code

Here's a collection template for Python that uses ipipgo's API to get proxy IPs:

import requests

 Get dynamic residential proxy from ipipgo
def get_proxy():
    api_url = "https://api.ipipgo.com/dynamic?key=你的密钥"
    resp = requests.get(api_url).json()
    return f"{resp['ip']}:{resp['port']}"

 Example of a request with a proxy
def fetch_sports_data(url):
    proxies = {
        "http": "socks5://" + get_proxy(),
        "https": "socks5://" + get_proxy()
    }
    try.
        return requests.get(url, proxies=proxies, timeout=8)
    except Exception as e.
        print(f "Request failed: {str(e)}")

 Example call
data = fetch_sports_data("URL of a sports data platform")

Be careful to set the3-5 second random delay, don't let the site find regular visits. If it's a high-frequency collection, it's recommended to use their static residential IP, although the price is a bit higher ($35/each/month), but the stability is really top.

Frequently Asked Questions

Q: What package should I choose to collect real-time NBA data?
A: Dynamic Residential (Standard Edition) is good enough to support about 20 requests per minute with the $7.67/GB package. If you want to do real-time odds monitoring, it is recommended to go to the enterprise version of Dynamic Residential, which supports higher concurrency.

Q: What should I do if I encounter a CAPTCHA?
A: ipipgo's static residential IP comes with a browser fingerprint camouflage function, which can significantly reduce the probability of CAPTCHA triggering with Selenium automation tools.

Q: Is there a limit to the frequency of API calls?
A: There is no limit to the number of calls for Enterprise Edition users, and Standard Edition recommends no more than 3 requests per second. Their customer service can adjust the frequency control strategy according to the specific needs.

Guide to avoiding the pit

I suffered a loss last year, using a certain proxy IP to collect Champions League data, and ended up mixing contaminated addresses in the IP pool. Later, I switched to ipipgo's exclusive static IP, and these problems didn't occur again. They have a1v1 Customized SolutionsQuite practical, with the ability to configure exclusive channels for specific acquisition needs.

Two final reminders for newbies:
1. Use pay-as-you-go in the testing phase, don't buy a yearly subscription.
2. Remember to set up an automatic IP replacement policy, do not hold on to a single IP grips
3. Switch country nodes immediately in case of a ban, don't be hard-headed.

The job of sports data collection depends on technology in seven parts and tools in three parts. Choose the right proxy IP service provider, can really save a lot of tossing time. Specific business scenarios are not sure, you can directly look for ipipgo technical support to customize the program, the pro-test response speed than peers a lot faster.