[Bug]: HTTPSConnectionPool(host='stats.nba.com', port=443): Read timed out. (read timeout=30)

[ghadfield32]

NBA API Version

latest

Issue

I'm having the same kind of issue as described in this post for leaguegamefinder and playergamelog. Can you tell me where I'm going wrong in my api call? It's been working for NBA season so far as I've been running some models on this data until now. Just today it started giving me the timeout error.

Code

from nba_api.stats.endpoints import leaguegamefinder
import pandas as pd
import time
import requests

Custom headers to mimic a browser request

custom_headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3',
'Referer': 'https://stats.nba.com',
'Connection': 'keep-alive',
}

def get_games_by_season(season_year_start, retries=3, delay=30):
season_id = f"{season_year_start}-{str(season_year_start+1)[-2:]}"

for attempt in range(retries):
    try:
        gamefinder = leaguegamefinder.LeagueGameFinder(season_nullable=season_id)
        gamefinder.nba_api.client.headers = custom_headers
        gamefinder.nba_api.client.timeout = 60  # Reduced timeout

        games = gamefinder.get_data_frames()[0]
        return games
    except requests.exceptions.Timeout:
        print(f"Timeout for season {season_id}, retry {attempt+1}/{retries}. Waiting {delay} seconds...")
        time.sleep(600)  # Shorter delay before retrying
    except Exception as e:
        print(f"Error for season {season_id}: {e}")
        break

return pd.DataFrame()  # Empty DataFrame on failure

all_seasons_data = pd.DataFrame()

for year in range(2023, 2024):
season_data = get_games_by_season(year)
if not season_data.empty:
all_seasons_data = pd.concat([all_seasons_data, season_data], ignore_index=True)
else:
print(f"No data for season starting in {year}")

[LeKD6]

Did you ever find a solution? Having the same issue myself, randomly stopped working

[SrijithVenkat]

Having this same issue as well

[erik-rt]

+1 on this issue, anyone find a solution?