Integrate the WisePops API with the Snowflake API

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

Popular Ways to Connect WisePops with Snowflake#

Insert Multiple Rows with Snowflake API on New Phone Collected (Instant) from WisePops API

WisePops + Snowflake

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Insert Multiple Rows with Snowflake API on New Sign-Up Collected (Instant) from WisePops API

WisePops + Snowflake

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Insert Multiple Rows with Snowflake API on New Survey Collected (Instant) from WisePops API

WisePops + Snowflake

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Insert Row with Snowflake API on New Phone Collected (Instant) from WisePops API

WisePops + Snowflake

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Insert Row with Snowflake API on New Sign-Up Collected (Instant) from WisePops API

WisePops + Snowflake

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Popular WisePops and Snowflake Triggers#

New Phone Collected (Instant) from the WisePops API

Emit new event when a new phone is received

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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 Sign-Up Collected (Instant) from the WisePops API

Emit new event when a new sign-up is received

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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 Survey Collected (Instant) from the WisePops API

Emit new event when a new survey is received

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Popular WisePops 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 WisePops#

The WisePops API unlocks potent possibilities for automating pop-up and banners management on your website. By integrating WisePops with Pipedream, you can streamline workflows such as syncing lead data to CRM platforms, personalizing visitor engagement based on real-time analytics, and dynamically updating marketing campaigns. The API's ability to fetch, update, create, and delete pop-ups enables developers to orchestrate sophisticated marketing automation that reacts to customer behavior and data-driven insights.

Connect WisePops#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wisepops: {
      type: "app",
      app: "wisepops",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.wisepops.com/api2/contacts`,
      headers: {
        "Authorization": `WISEPOPS-API key="${this.wisepops.$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
  },
})