clutch

clutch

import pandas as pd
import requests

headers = {
    'Accept': 'application/json, text/plain, */*',
    'Accept-Encoding': 'gzip, deflate, br',
    'Accept-Language': 'es-ES,es;q=0.9,en;q=0.8',
    'Connection': 'keep-alive',
    'Host': 'stats.nba.com',
    'If-Modified-Since': 'Fri, 01 Jul 2022 23:00:16 GMT',
    'Origin': 'https://www.nba.com',
    'Referer': 'https://www.nba.com/',
    'sec-ch-ua': '".Not/A)Brand";v="99", "Google Chrome";v="103", "Chromium";v="103"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': "macOS",
    'Sec-Fetch-Dest': 'empty',
    'Sec-Fetch-Mode': 'cors',
    'Sec-Fetch-Site': 'same-site',
    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36',
    'x-nba-stats-origin': 'stats',
    'x-nba-stats-token': 'true'
}

def extract_season(season_list):
    url_nba ="https://stats.nba.com/stats/leaguedashplayerclutch?AheadBehind=Ahead+or+Behind&ClutchTime=Last+5+Minutes&College=&Conference=&Country=&DateFrom=&DateTo=&Division=&DraftPick=&DraftYear=&GameScope=&GameSegment=&Height=&LastNGames=0&LeagueID=00&Location=&MeasureType=Base&Month=0&OpponentTeamID=0&Outcome=&PORound=0&PaceAdjust=N&PerMode=PerGame&Period=0&PlayerExperience=&PlayerPosition=&PlusMinus=N&PointDiff=5&Rank=N&Season="+season_list+"&SeasonSegment=&SeasonType=Regular+Season&ShotClockRange=&StarterBench=&TeamID=0&VsConference=&VsDivision=&Weight="
    respuesta = requests.get(url_nba, headers=headers).json()
    results = respuesta['resultSets'][0] ['rowSet']    
    df = pd.DataFrame(results)
    df.columns = respuesta['resultSets'][0] ['headers'] 
    df['year'] = season_list
    df['year'] = Left = df['year'].str[:4].astype(int)+1
    return df 

season_list = (
    '2017-18',
    '2018-19',
    '2019-20',
    '2020-21',
    '2021-22'
)

df = pd.concat(map(extract_season, season_list)).sort_values('year', ascending=False)
df.to_csv("cluttch3.csv", index=False)