Twitch Developer App
Use this app to connect to the Twitch API using your own Twitch developer app. This is required when using any Twitch API that requires App Access Tokens.
Integrate the Twitch Developer App API with the Python API
Setup the Twitch Developer App API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Twitch Developer App and Python remarkably fast. Free for developers.
Popular Ways to Connect Twitch Developer App with Python#
Popular Twitch Developer App and Python Triggers#
Emit new event when a specific broadcaster is raided by another broadcaster.
Emit new event when a specific broadcaster raids another broadcaster.
Emit new event when a live stream starts from the streamers you specify.
Popular Twitch Developer App and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Twitch Developer App#
The Twitch Developer App API lets you tap into the rich features of Twitch, enabling integration with the streaming platform's data. Using Pipedream, you can automate interactions with Twitch, such as managing streams, users, games, and more. With the ability to react to events in real-time, you can create automated workflows that enhance the streaming experience for broadcasters and viewers alike, such as notifying followers when a stream goes live, tracking metrics, or even moderating chat.
Connect Twitch Developer App#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twitch_developer_app: {
type: "app",
app: "twitch_developer_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://id.twitch.tv/oauth2/validate`,
headers: {
Authorization: `Bearer ${this.twitch_developer_app.$auth.oauth_access_token}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}