AdRoll

Online advertising

Integrate the AdRoll API with the Snowflake API

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

Replace Emails from CRM Audience with AdRoll API on New Row from Snowflake API
Snowflake + AdRoll
 
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Replace Emails from CRM Audience with AdRoll API on New Query Results from Snowflake API
Snowflake + AdRoll
 
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Replace Emails from CRM Audience with AdRoll API on Failed Task in Schema from Snowflake API
Snowflake + AdRoll
 
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Replace Emails from CRM Audience with AdRoll API on New Database from Snowflake API
Snowflake + AdRoll
 
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Replace Emails from CRM Audience with AdRoll API on New Deleted Role from Snowflake API
Snowflake + AdRoll
 
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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 Database from the Snowflake API

Emit new event when a database is created

 
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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
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Replace Emails from CRM Audience with the AdRoll API

Replace the email list from a CRM audience in AdRoll. See 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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Overview of AdRoll

The AdRoll API offers a suite of tools to enhance advertising efforts with targeted ad campaigns and advanced analytics. Harnessing this API within Pipedream allows you to automate interactions with AdRoll, such as synchronizing audiences, updating campaigns, and managing advertisements based on triggers from other services. By integrating AdRoll API with Pipedream, you create dynamic workflows that respond in real-time to your business data, ensuring your marketing efforts are both efficient and scalable.

Connect AdRoll

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adroll: {
      type: "app",
      app: "adroll",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://services.adroll.com/api/v1/user/get`,
      headers: {
        Authorization: `Bearer ${this.adroll.$auth.oauth_access_token}`,
      },
      params: {
        apikey: `${this.adroll.$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
  },
})