LiveAgent

LiveAgent is a web-based live chat and helpdesk software. It covers all support channels: Email, Live Chat, Call Center, Contact forms, Feedback Forms, Knowledge Base, Social networks(Twitter and Facebook) and integrates them into one enviroment.

Integrate the LiveAgent API with the Snowflake API

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

Create Customer with LiveAgent API on New Row from Snowflake API
Snowflake + LiveAgent
 
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Create Customer with LiveAgent API on New Query Results from Snowflake API
Snowflake + LiveAgent
 
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Create Customer with LiveAgent API on Failed Task in Schema from Snowflake API
Snowflake + LiveAgent
 
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Create Customer with LiveAgent API on New Database from Snowflake API
Snowflake + LiveAgent
 
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Create Customer with LiveAgent API on New Deleted Role from Snowflake API
Snowflake + LiveAgent
 
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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 Customer from the LiveAgent API

Emit new event on each new customer.

 
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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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Create Customer with the LiveAgent API

Creates a customer. 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 LiveAgent

The LiveAgent API provides access to a feature-rich helpdesk platform, allowing you to automate customer support tasks, synchronize data with other services, and streamline communication channels. With Pipedream, you can tap into the LiveAgent API to create custom workflows that enhance support operations, trigger actions based on customer interactions, and connect with a myriad of other apps to enrich the support ecosystem. Pipedream's serverless platform makes it simple to set up these automations with minimal coding, using pre-built actions or scripting your own.

Connect LiveAgent

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    liveagent: {
      type: "app",
      app: "liveagent",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.liveagent.$auth.domain}.ladesk.com/api/v3/agents`,
      headers: {
        "apikey": `${this.liveagent.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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
  },
})