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https://github.com/onyx-and-iris/streamlabs-socketio-py
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2.4 KiB
2.4 KiB
A Python client for Streamlabs Socket API
For an outline of past/future changes refer to: CHANGELOG
Requirements
-
A Streamlabs Socket API key.
- You can acquire this by logging into your Streamlabs.com dashboard then
Settings->Api Settings->API Tokens
- You can acquire this by logging into your Streamlabs.com dashboard then
-
Python 3.8 or greater
How to install using pip
pip install streamlabsio
How to Use
You may store your api key in a config.toml
file, its contents should resemble:
[streamlabs]
token = "<apikey>"
Place it next to your __main__.py
file.
Otherwise:
You may pass it as a keyword argument.
Example __main__.py
:
import streamlabsio
def on_twitch_event(event, data):
print(f"{event}: {data.attrs()}")
def main():
with streamlabsio.connect(token="<apikey>") as client:
client.obs.on("streamlabs", on_twitch_event)
client.obs.on("twitch_account", on_twitch_event)
# run for 30 seconds then disconnect client from server
client.sio.sleep(30)
if __name__ == "__main__":
main()
note
From the SocketIO docs, client.sio.wait()
may be used if your application has nothing to do in the main thread.
Client class
streamlabsio.connect(token="<apikey>", raw=False)
The following keyword arguments may be passed:
token
: str Streamlabs SocketIO api token.raw
: boolean=False Receive raw data messages as json objects.
Attributes
For event data you may inspect the available attributes using attrs()
.
example:
def on_twitch_event(event, data):
print(f"{event}: {data.attrs()}")
Errors
SteamlabsSIOConnectionError
: Exception raised when connection errors occur
Logging
To view raw incoming event data set logging level to DEBUG. Check debug
example.