OnceHub
Don't keep your leads waiting. Capture, qualify, and engage with inbound leads in minutes, not days.
Integrate the OnceHub API with the Python API
Setup the OnceHub API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate OnceHub and Python remarkably fast. Free for developers.
Popular Ways to Connect OnceHub with Python#
Popular OnceHub and Python Triggers#
Emit new event when a booking is canceled. See the docs
Emit new event when a customer cancels a booking and then reschedules on a different booking page. See the docs
Emit new event when the status of a booking is changed. See the docs
Emit new event when a user sets the completed booking to No-show. See the docs
Emit new event when a booking is rescheduled. See the docs
Popular OnceHub 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 OnceHub#
The OnceHub API is a powerful tool for automating the scheduling of meetings and appointments. With this API, you can dynamically manage bookings, sync calendars, personalize notifications, and streamline the entire process of setting up and following up on appointments. When used on Pipedream, you can harness the serverless power of the platform to trigger workflows based on events in OnceHub, or to act upon data from other services, making the maintenance of your calendar and scheduling needs a breeze.
Connect OnceHub#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
oncehub: {
type: "app",
app: "oncehub",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.oncehub.com/v2/test`,
headers: {
"Accept": `application/json`,
"API-Key": `${this.oncehub.$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}}