Drive thousands of human connections, interactions and responses with our one powerful platform for HR, events, online meetings, sales, marketing and more.
Emit new event every time there is new data for all created topics for a meeting. See the documentation
Emit new event for each new lead generated. See the documentation
Emit new event every time the results of a poll change. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
MeetingPulse is a platform designed to make meetings and events interactive by enabling real-time polling, Q&A sessions, quizzes, and more. Using the MeetingPulse API, you can integrate these interactive experiences into your processes or applications. With Pipedream, the API's potential multiplies, allowing you to create seamless workflows that react to meeting events, collate feedback, and automate follow-ups. By tapping into the API via Pipedream, you get the flexibility to trigger actions on numerous apps in response to meeting activities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
meetingpulse: {
type: "app",
app: "meetingpulse",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.meet.ps/api/v2/meetings/`,
headers: {
Authorization: `Bearer ${this.meetingpulse.$auth.access_token}`,
"accept": `application/json`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}