Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars.
Emit new event each time a meeting is created where you're the host
Emit new event each time a meeting starts where you're the host
Emit new event each time a new recording completes for a meeting or webinar where you're the host
Emit new event each time a meeting ends where you're the host
Emit new event each time a meeting is updated where you're the host
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a meeting for a user. A maximum of 100 meetings can be created for a user in a day.
The Zoom API lets you tap into a rich set of functionalities to enhance the video conferencing experience within your own app or workflow. With the Zoom API on Pipedream, you can automatically create meetings, manage users, send meeting notifications, and more, orchestrating these actions within a broader automation. This allows for seamless integration with other services, enabling both data collection and action triggers based on Zoom events.
Pipedream workflows allow you to run any Node.js code that connects to the Zoom API. Just create a new workflow, then add prebuilt Zoom actions (create a meeting, send a chat message, etc.) or write your own code. These workflows can be triggered by HTTP requests, timers, email, or on any app-based event (new tweets, a Github PR, Zoom events, etc).
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoom: {
type: "app",
app: "zoom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.zoom.us/v2/users/me`,
headers: {
Authorization: `Bearer ${this.zoom.$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}}