RingCentral

Experience Intelligent Phone, Meetings, Contact Center, and AI Solutions with RingCentral, the complete cloud communications platform.

Integrate the RingCentral API with the Snowflake API

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

Create Meeting with Ringcentral API on New Row from Snowflake API
Snowflake + RingCentral
 
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Download Recording with RingCentral API on New Row from Snowflake API
Snowflake + RingCentral
 
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Get Message with RingCentral API on New Row from Snowflake API
Snowflake + RingCentral
 
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Make CallOut with Ringcentral API on New Row from Snowflake API
Snowflake + RingCentral
 
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Send SMS with Ringcentral API on New Row from Snowflake API
Snowflake + RingCentral
 
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New Row from the Snowflake API

Emit new event when a row is added to a table

 
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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
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New Call Recording from the RingCentral API

Emit new events when a call recording is created

 
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New Event (Instant) from the RingCentral API

Emit new event for each notification from RingCentral of a specified type

 
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Create Meeting with the RingCentral API

Creates a new meeting. See the API docs here.

 
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Download Recording with the RingCentral API

Gets a recording and downloads it to the /tmp directory. See the documentation

 
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Get Message with the RingCentral API

Get message from the Message Store. See the API docs here

 
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Make CallOut with the RingCentral API

Creates a new outbound call out session. See the API docs here

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Overview of RingCentral

RingCentral is a comprehensive cloud communication platform that melds messaging, video, and phone services. Integrating RingCentral with Pipedream allows for automated workflows involving SMS sending, call management, and leveraging communication logs for data-driven insights. With Pipedream's serverless execution model, you can trigger actions based on specific RingCentral events or schedule tasks to run at predetermined intervals, all without writing extensive code.

Connect RingCentral

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ringcentral: {
      type: "app",
      app: "ringcentral",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.ringcentral.$auth.instancetype}.ringcentral.com/restapi/v1.0/account/~`,
      headers: {
        Authorization: `Bearer ${this.ringcentral.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Snowflake

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake

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import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})