tawk.to

Monitor and chat with the visitors on your website, respond to support tickets, organize contacts and create a help center to empower customers to help themselves.

Integrate the tawk.to API with the Snowflake API

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

Insert Multiple Rows with Snowflake API on Chat Ended (Instant) from tawk.to API
tawk.to + Snowflake
 
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Insert Multiple Rows with Snowflake API on New Chat Started (Instant) from tawk.to API
tawk.to + Snowflake
 
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Insert Multiple Rows with Snowflake API on New Ticket (Instant) from tawk.to API
tawk.to + Snowflake
 
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Insert Single Row with Snowflake API on Chat Ended (Instant) from tawk.to API
tawk.to + Snowflake
 
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Insert Single Row with Snowflake API on New Chat Started (Instant) from tawk.to API
tawk.to + Snowflake
 
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Chat Ended (Instant) from the tawk.to API

Emit new event when a chat ends, usually after 90-150 seconds of inactivity

 
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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 Chat Started (Instant) from the tawk.to API

Emit new event when the first message in a chat is sent by a visitor or agent.

 
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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 Ticket (Instant) from the tawk.to API

Emit new event when a new ticket is created.

 
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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 tawk.to

The tawk.to API lets you interact with the tawk.to live chat platform programmatically. Using Pipedream, you can connect tawk.to to a variety of other apps and services to automate notifications, sync chat data, and enhance customer support operations. You can trigger workflows on new messages, follow up on conversations, extract chat transcripts, or link chat events to CRM systems, issue trackers, or databases—all in real-time.

Connect tawk.to

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tawk_to: {
      type: "app",
      app: "tawk_to",
    }
  },
  async run({steps, $}) {
    const data = {
      "type": `business`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.tawk.to/v1/property.list`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.tawk_to.$auth.api_key}`,
        password: `f`,
      },
      data,
    })
  },
})

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
  },
})