WebinarKit
Create automated, like-live, and just-in-time webinar funnels in minutes on the same platform trusted by over 12,000 businesses.
Integrate the WebinarKit API with the Python API
Setup the WebinarKit API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate WebinarKit and Python remarkably fast. Free for developers.
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Popular WebinarKit and Python Triggers#
Triggered when a new webinar is created. See the documentation
Popular WebinarKit and Python Actions#
Lists all scheduled sessions for a specific webinar. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Registers a new attendee for a specific webinar. See the documentation
Overview of WebinarKit#
The WebinarKit API provides programmable hooks into WebinarKit's suite, enabling automation of webinar management tasks like creating webinars, registering participants, and sending out reminders. With Pipedream, you can craft workflows that react to various triggers, such as new registrant sign-ups or attendee data, and connect these events to hundreds of other apps. This integration can vastly improve the efficiency of your webinar operations by automating repetitive tasks, collecting data, and nurturing leads with minimal manual intervention.
Connect WebinarKit#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
webinarkit: {
type: "app",
app: "webinarkit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://webinarkit.com/api/webinars`,
headers: {
Authorization: `Bearer ${this.webinarkit.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies