Sports dataset: sports competition dataset

Why does sports data collection always get stuck? You could be in one of these potholes.

Friends engaged in sports data should have encountered this situation: obviously the game live play hot, their own crawler program is suddenly on strike. Last week, I helped a basketball data analysis team to troubleshoot the problem and found that the local IP they used was recognized by the target site as machine traffic, and was directly blocked for 7 days.

There is a common feature of these types of sports websites:Particularly sensitive to high-frequency visits. For example, the real-time data interface for soccer matches, the number of requests allowed per minute may be lower than the average website 50% or more. At this time, if you use a fixed IP hard, basically the same as running naked under the eyes of the site administrator.

 Typical error demonstration (don't learn!)
import requests
for page in range(1,100):
    response = requests.get(f'https://sportsdata.com/matches?page={page}')
     Here, 99 consecutive requests from a fixed IP will be blocked in minutes!

Dynamic IP pooling is the right way to open

Here's where we have to bring out our savior - ipipgo's proxy IP service. TheirDedicated channel for sports dataThere is a masterpiece: each request automatically switches the IP address of a different region. The actual test with this program to collect a well-known soccer league data, continuous collection of 6 hours did not trigger the wind control.

The key configuration tips: in the headers add 'X-Sports-Type': 'basketball' such a custom field (according to the specific type of sports to change), with ipipgo IP rotation, can significantly reduce the probability of being blocked. It can significantly reduce the probability of being intercepted.

Hands-on with tournament data collection

Here is a real case: to collect the last 3 months of NBA game data. With ipipgo's Python SDK you can do this:

from ipipgo import SportsProxy
import time

proxy = SportsProxy(api_key='your key')
for game_date in date_range:: proxy.get('your key')
    resp = proxy.get(
        url='Address of tournament interface', params={'date': 'date', 'date': 'date', 'date': 'date')
        params={'date': game_date},
        sport_type='basketball' focus parameter!
    )
    time.sleep(1.5) Recommended interval is more than 1 second.
     Processing data...

Note the two pit avoidance points:

1. different sport types should set the corresponding sport_type parameter

2. Don't be too aggressive with request intervals, even though proxies are used

There's a way to data cleansing

Don't be in a hurry to use the raw data after you get it, many sports websites will mix fake data in the abnormal request. Last year, a client was hit - the height of the captured player appeared to be 2.58 meters of outrageous data.

Recommended(math.) third-order calibration method::

1. Basic calibration: whether the range of values is reasonable (e.g., score does not exceed 150)

2. Correlation check: whether the total number of points scored by the two teams is equal to the total number of points scored in the match

3. Timing check: whether data fluctuations of the same player are normalized

Practical QA Triple Strike

Q: Is it legal to collect data with a proxy IP?

A: As long as the collection of public data and comply with the website robots agreement is legal, ipipgo all IP are compliant with the license

Q: What should I do if I encounter a CAPTCHA?

A: ipipgo's intelligent scheduling system automatically switches IP segments with low CAPTCHA probability, which, together with their retry mechanism, can basically circumvent the

Q: Do I need to maintain my own IP pool?

A: No need at all! Their dedicated channel for sports data has already done a good job of monitoring IP quality, and invalid IPs are automatically removed from the shelves.

To be perfectly honest, the sports data circuit now spells outData VividnessLast week, a customer used ipipgo's dynamic IP solution to get the key data of the tournament 15 minutes earlier than competitors. Last week, a customer used ipipgo's dynamic IP program, 15 minutes earlier than competitors to get the key data of the tournament, in the guessing class App properly seize the first opportunity. This program I have verified in three projects, the success rate is stable at 90% or more, you need specific configuration guide can go directly to ipipgo official website to check the document, their technical support response speed thief.