MeetingPulse

Drive thousands of human connections, interactions and responses with our one powerful platform for HR, events, online meetings, sales, marketing and more.

Integrate the MeetingPulse API with the PostgreSQL API

Setup the MeetingPulse API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate MeetingPulse and PostgreSQL remarkably fast. Free for developers.

Delete Row(s) with PostgreSQL API on New Contribution to Topic from MeetingPulse API
MeetingPulse + PostgreSQL
 
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Delete Row(s) with PostgreSQL API on New Lead Generated from MeetingPulse API
MeetingPulse + PostgreSQL
 
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Delete Row(s) with PostgreSQL API on New Poll Data from MeetingPulse API
MeetingPulse + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Contribution to Topic from MeetingPulse API
MeetingPulse + PostgreSQL
 
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Execute Custom Query with PostgreSQL API on New Lead Generated from MeetingPulse API
MeetingPulse + PostgreSQL
 
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New Contribution to Topic from the MeetingPulse API

Emit new event every time there is new data for all created topics for a meeting. See the documentation

 
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New Lead Generated from the MeetingPulse API

Emit new event for each new lead generated. See the documentation

 
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New Poll Data from the MeetingPulse API

Emit new event every time the results of a poll change. See the documentation

 
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New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See the documentation

 
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Insert Row with the PostgreSQL API

Adds a new row. See the documentation

 
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Overview of MeetingPulse

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.

Connect MeetingPulse

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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`,
      },
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})