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I am trying to get career stats and awards from nba_api, but I'm getting a read timeout error.

I'm using the following as a baseline for a project.

from nba_api.stats.static import players 
from nba_api.stats.endpoints import playercareerstats
from nba_api.stats.endpoints import PlayerAwards
all_players = players.get_players()

for i in all_players:
        Player_id = i["id"]
        Player_careerstats = playercareerstats.PlayerCareerStats(Player_id).career_totals_regular_season.get_data_frame()
        awards = PlayerAwards(Player_id).get_data_frames()

However, I receive this error:

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

I don't know if I am asking the nba_api for too much information since it's every player, or maybe if it's taking too long to process. If instead of trying to collect the data for every nba player I ask a user to input a name, I am able to collect and store data for each player they input. Would appreciate any help.

toyota Supra
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wnasi3
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1 Answers1

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When working with the nba_api package or any API, a read timeout error usually occurs when the connection to the API server takes too long to respond. This could happen due to various reasons, such as a slow internet connection, a high load on the server, or network congestion.

To resolve a read timeout error while using the nba_api, you can try the following steps:

  1. Increase the timeout value: By default, the timeout value for requests made by nba_api is set to a specific duration. You can try increasing the timeout value to allow more time for the request to complete. For example:

    from nba_api.stats.endpoints import ExampleEndpoint

    Increase timeout value to 10 seconds

    endpoint = ExampleEndpoint(timeout=10) response = endpoint.get_data_frames()

  2. Retry the request: Sometimes, a read timeout error can be a temporary issue. You can implement a retry mechanism to make multiple attempts at the request. Here's an example using the requests library's Retry functionality:

    import requests from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry from nba_api.stats.endpoints import ExampleEndpoint

    Create a session with retry logic

    session = requests.Session() retry_strategy = Retry(total=3, backoff_factor=0.5) adapter = HTTPAdapter(max_retries=retry_strategy) session.mount("http://", adapter) session.mount("https://", adapter)

    Make the request using the session

    endpoint = ExampleEndpoint(session=session) response = endpoint.get_data_frames()

  3. Check your internet connection: Ensure that your internet connection is stable and not experiencing any disruptions. You can try accessing other websites or APIs to verify your connectivity.

  4. Monitor API status: Visit the official NBA API website or their developer portal to check if there are any reported issues or maintenance activities on the API server. It's possible that the error is caused by server-side problems, and waiting for the issue to be resolved is the best course of action.

  5. Contact API support: If the error persists and none of the above steps help, you may need to reach out to the NBA API support team or consult the nba_api documentation or community for specific troubleshooting steps related to the library.

Keep in mind that the specific resolution may depend on the nature of the timeout error and the behavior of the nba_api package itself. It's always a good practice to consult the library's documentation or community for more targeted assistance.

Chathuka Nimeshana
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  • This content has a high probability of being written by AI. Please read https://stackoverflow.com/help/gpt-policy –  Jun 20 '23 at 01:05