Powerful, end-to-end video engagement software for today's teams.
Emit new event when a new registrant is added. See the Documentation
Emit new event when a registrant attended a Livestorm webinar. See the Documentation
Emit new event when a registrant did not attend a Livestorm webinar. See the Documentation
Emit new event when a Livestorm webinar is completed. See the Documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
List all the people linked to all the sessions of an event. See the Documentation
The Livestorm API opens up a world of possibilities for event management automation. With this API, you can harness data from your webinars and online events to drive engagement, personalize follow-ups, and streamline event operations. Integrating Livestorm with Pipedream allows you to construct workflows that can react to event triggers, sync data across platforms, and automate repetitive tasks. Whether you're looking to enhance participant engagement, capture leads in your CRM, or trigger personalized email campaigns post-event, Pipedream's serverless platform makes it easy to connect Livestorm with other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
livestorm: {
type: "app",
app: "livestorm",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.livestorm.co/v1/events`,
headers: {
Authorization: `Bearer ${this.livestorm.$auth.oauth_access_token}`,
},
})
},
})
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:
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}}