Twist
Clear & Organized Team Communication
Integrate the Twist API with the Python API
Setup the Twist API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Twist and Python remarkably fast. Free for developers.
Popular Twist and Python Triggers#
Emit new event for any new channel added in a workspace See the docs here
Emit new event for any new comment in a workspace See the docs here
Emit new event for any new updates in a workspace See the docs here
Emit new event for any new group added in a workspace See the docs here
Emit new event for any new user added to a workspace group See the docs here
Popular Twist and Python Actions#
Overview of Twist#
Twist is a communication app designed for team collaboration, with a focus on organized, threaded conversations. Using the Twist API on Pipedream, you can automate workflows to enhance productivity, streamline communication, and integrate with other tools. From automating notifications to syncing tasks across platforms, the API unlocks valuable use cases for teams needing to stay in sync without the noise of email or less structured chat apps.
Connect Twist#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twist: {
type: "app",
app: "twist",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.twist.com/api/v3/users/get_session_user`,
headers: {
Authorization: `Bearer ${this.twist.$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}}