Integrate the Aircall API with the Snowflake API

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

Popular Ways to Connect Aircall with Snowflake#

Create Contact with Aircall API on New Row from Snowflake API

Snowflake + Aircall

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Get Call with Aircall API on New Row from Snowflake API

Snowflake + Aircall

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Update Contact with Aircall API on New Row from Snowflake API

Snowflake + Aircall

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Create Contact with Aircall API on New Query Results from Snowflake API

Snowflake + Aircall

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Get Call with Aircall API on New Query Results from Snowflake API

Snowflake + Aircall

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Popular Aircall and Snowflake Triggers#

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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New Call Ended from the Aircall API

Emit new event when a call ends

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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 Note Added from the Aircall API

Emit new event when a new note is added to a call

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Popular Aircall and Snowflake Actions#

Create Contact with the Aircall API

Create a contact in Aircall. See the documentation

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Get Call with the Aircall API

Retrieves details about a call. See the docs here

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Update Contact with the Aircall API

Update a contact in Aircall. See the documentation

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Overview of Aircall#

The Aircall API allows you to harness telephony features within your applications, enabling you to manage calls, contacts, users, and more programmatically. With Pipedream's capability to leverage this API, you can automate call logging, synchronize contact information across platforms, dynamically route calls based on business logic, and generate analytics and reports.

Connect Aircall#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aircall: {
      type: "app",
      app: "aircall",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aircall.io/v1/integrations/me`,
      headers: {
        Authorization: `Bearer ${this.aircall.$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#

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
  },
})