Twitch
Live streaming platform for gamers
Integrate the Twitch API with the Python API
Setup the Twitch API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Twitch and Python remarkably fast. Free for developers.
Popular Twitch and Python Triggers#
Popular Twitch and Python Actions#
Block User with the Twitch API
Blocks a user; that is, adds a specified target user to your blocks list
Run Python Code with the Python API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Check Channel Subscription with the Twitch API
Checks if you are subscribed to the specified user's channel
Overview of Twitch#
With the Twitch API, you can develop apps that:
- Display a list of top Twitch channels
- Allow users to search for specific Twitch channels
- Show information about a specific Twitch channel
- Allow users to follow or unfollow a Twitch channel
- Notify users when their favorite Twitch channels go live
Connect Twitch#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twitch: {
type: "app",
app: "twitch",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.twitch.tv/helix/users`,
headers: {
Authorization: `Bearer ${this.twitch.$auth.oauth_access_token}`,
"Client-ID": `${this.twitch.$auth.oauth_client_id}`,
},
})
},
})
Overview of Python#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
Connect Python#
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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}}