chess.com 3.1.1

Python Wrapper for Chess.com API

Python wrapper for Chess.com Public API

Python wrapper for Chess.com API which provides public data from the chess.com website. All endpoints provided by Chess.com's API are available in the respectively named methods.

Installation

The package requires Python 3.8 or higher.

Install latest version from PyPI pip install chess.com

Resources

• Documentation: readthedocs.org
• Published-Data API: chess.com

Usage

Retrieving Data

All the functions return a ChessDotComResponse object. The data can be accessed in dictionary format or via attributes.

The package uses aiohttp for asynchronous requests and requests for synchronous requests to interact with the API.

Using client instance

from chessdotcom import ChessDotComClient
   
client = ChessDotComClient(user_agent = "My Python Application...")

response = client.get_player_profile("fabianocaruana")

response.player.name # 'Fabiano Caruana'
response.player.title # 'GM'
response.player.last_online_datetime # datetime.datetime(2024, 10, 25, 20, 8, 28)
response.player.joined_datetime # datetime.datetime(2013, 3, 17, 15, 14, 32)
# See readthedocs for full documentation of responses

# or access the source
response.json['player']['name'] # 'Fabiano Caruana'

Using functions

from chessdotcom import get_player_profile, Client
   
Client.request_config["headers"]["User-Agent"] = (
    "My Python Application. "
    "Contact me at [e-mail]"
)
response = get_player_profile("fabianocaruana")

Asynchronous

from chessdotcom import ChessDotComClient

client = ChessDotComClient(user_agent = "My Python Application...", aio = True)

usernames = ["fabianocaruana", "GMHikaruOnTwitch", "MagnusCarlsen", "GarryKasparov"]

cors = [client.get_player_profile(name) for name in usernames]

async def gather_cors(cors):
    return await asyncio.gather(*cors)

responses = asyncio.run(gather_cors(cors))

Managing Rate Limit

Every function accepts a tts parameter which controls the number of seconds the Client will wait before making the request. This is useful if running a lot of coroutines at once.

cors = [get_player_profile(name, tts = i / 10) for i, name in enumerate(usernames)]

The second method is to pass rate_limit_handler option to the client.

from chessdotcom import RateLimitHandler

client = ChessDotComClient(
    rate_limit_handler = RateLimitHandler(tts = 4,retries = 2)
)

If the initial request gets rate limited the client will automatically retry the request 2 more times with an interval of 4 seconds.

Contact

• Open a new Issue on Github.