Integrate the Klenty API with the Snowflake API

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

Popular Ways to Connect Klenty with Snowflake#

Add Prospect to List with Klenty API on New Row from Snowflake API

Snowflake + Klenty

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Start Cadence with Klenty API on New Row from Snowflake API

Snowflake + Klenty

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Update Prospect with Klenty API on New Row from Snowflake API

Snowflake + Klenty

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Add Prospect to List with Klenty API on New Query Results from Snowflake API

Snowflake + Klenty

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Start Cadence with Klenty API on New Query Results from Snowflake API

Snowflake + Klenty

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Popular Klenty 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 Cadence Started from the Klenty API

Emit new event when a new cadence is started.

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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 Email Bounced from the Klenty API

Emit new event when an email to a prospect bounces.

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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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Popular Klenty and Snowflake Actions#

Add Prospect to List with the Klenty API

Adds a new prospect to a list in Klenty. See the documentation

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Start Cadence with the Klenty API

Starts a cadence in Klenty for a specific prospect. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Update Prospect with the Klenty API

Updates an existing prospect's information in Klenty. See the documentation

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Klenty#

The Klenty API enables automation of your sales engagement by integrating with Pipedream. With this API, you can sync leads, automate email campaigns, and manage tasks without manual intervention, creating a seamless sales workflow. By leveraging Pipedream's serverless execution model, you can set up custom triggers, actions, and data transformations between Klenty and various other apps.

Connect Klenty#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klenty: {
      type: "app",
      app: "klenty",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.klenty.com/apis/v1/user/${this.klenty.$auth.username}/lists`,
      headers: {
        "x-API-key": `${this.klenty.$auth.api_key}`,
      },
      params: {
        listName: `YOUR_LIST_NAME`,
      },
    })
  },
})

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
  },
})