Loomio
Where collaborative organizations share, discuss and decide. Loomio offers a workspace for conversation, sharing information and opinions, making proposals, deciding actions and achieving outcomes. Loomio is the heartbeat and living record of your organization.
Integrate the Loomio API with the Python API
Setup the Loomio API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Loomio and Python remarkably fast. Free for developers.
Popular Loomio 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 Loomio#
The Loomio API empowers you to automate your collaborative decision-making processes, integrating your group discussions, proposals, and decisions with other apps and services. By leveraging Pipedream's capabilities, you can seamlessly connect Loomio with hundreds of other applications, creating custom workflows that trigger actions based on events in Loomio, such as new discussions, votes, or comments. This enables you to streamline communication, enhance project management, and foster transparent governance.
Connect Loomio#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
loomio: {
type: "app",
app: "loomio",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.loomio.org/api/b1/memberships`,
params: {
api_key: `${this.loomio.$auth.api_key}`,
},
})
},
})
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}}