Integrate the WebinarGeek API with the Snowflake API

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

Popular Ways to Connect WebinarGeek with Snowflake#

Insert Multiple Rows with Snowflake API on New Payment from WebinarGeek API

WebinarGeek + Snowflake

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Insert Multiple Rows with Snowflake API on New Registration from WebinarGeek API

WebinarGeek + Snowflake

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Insert Multiple Rows with Snowflake API on New Replay Watched from WebinarGeek API

WebinarGeek + Snowflake

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Insert Multiple Rows with Snowflake API on New Unsubscribed from WebinarGeek API

WebinarGeek + Snowflake

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Insert Multiple Rows with Snowflake API on New Webinar Watched from WebinarGeek API

WebinarGeek + Snowflake

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Popular WebinarGeek and Snowflake Triggers#

New Payment from the WebinarGeek API

Emit new event on each new payment.

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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 Registration from the WebinarGeek API

Emit new event on each new registration.

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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 Replay Watched from the WebinarGeek API

Emit new event on each replay is watched.

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Popular WebinarGeek and Snowflake Actions#

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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Overview of WebinarGeek#

The WebinarGeek API lets you automate and streamline your webinar management tasks. You can create, update, and delete webinars, manage registrations, send out emails, and gather analytics. By harnessing this API within Pipedream, you can construct workflows that react to a variety of triggers, such as new registrant data, and then take actions, like updating a CRM or sending personalized follow-up emails through your email provider.

Connect WebinarGeek#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    webinargeek: {
      type: "app",
      app: "webinargeek",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.webinargeek.com/api/v2/account`,
      headers: {
        "Api-Token": `${this.webinargeek.$auth.api_key}`,
      },
    })
  },
})

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
  },
})