Integrate the WATI API with the Snowflake API

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

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Popular Ways to Connect WATI with Snowflake#

Add Contact with WATI API on New Row from Snowflake API

Snowflake + WATI

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Send WhatsApp Template Message with WATI API on New Row from Snowflake API

Snowflake + WATI

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Update Contact Attribute with WATI API on New Row from Snowflake API

Snowflake + WATI

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Add Contact with WATI API on New Query Results from Snowflake API

Snowflake + WATI

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Send WhatsApp Template Message with WATI API on New Query Results from Snowflake API

Snowflake + WATI

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Popular WATI 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 Contact Created from the WATI API

Emit new event when a contact is created from an incoming WhatsApp message.

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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 Incoming Message from the WATI API

Emit new event when there is an incoming message on your number.

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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 WATI and Snowflake Actions#

Add Contact with the WATI API

Adds a new contact on the WATI platform. See the documentation

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Send WhatsApp Template Message with the WATI API

Enables sending of WhatsApp messages using a pre-approved template. See the documentation

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Update Contact Attribute with the WATI API

Allows updating attributes/tags related to an existing contact. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of WATI#

The WATI API allows you to power up your customer engagement by leveraging WhatsApp messaging. With Pipedream's capabilities, you can create serverless workflows that integrate WATI to automate personalized notifications, process inbound messages, and manage contacts. This can help scale your customer service, marketing campaigns, and streamline communications with WhatsApp's wide user base.

Connect WATI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wati: {
      type: "app",
      app: "wati",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.wati.$auth.api_endpoint}/api/v1/getContacts`,
      headers: {
        "Accept": `*/*`,
        "Authorization": `${this.wati.$auth.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#

import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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