Integrate the Clientify API with the Snowflake API

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

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Popular Ways to Connect Clientify with Snowflake#

Create Contact with Clientify API on New Row from Snowflake API

Snowflake + Clientify

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Create Task with Clientify API on New Row from Snowflake API

Snowflake + Clientify

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Update Contact with Clientify API on New Row from Snowflake API

Snowflake + Clientify

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Create Contact with Clientify API on New Query Results from Snowflake API

Snowflake + Clientify

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Create Task with Clientify API on New Query Results from Snowflake API

Snowflake + Clientify

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Popular Clientify 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 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 Contact Created from the Clientify API

Emit new event when a new contact is created.

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New Task Completed from the Clientify API

Emit new event when a task is completed.

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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 Clientify and Snowflake Actions#

Create Contact with the Clientify API

Create a new contact. See the documentation

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Create Task with the Clientify API

Add a new task. 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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Update Contact with the Clientify API

Update a specific 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 Clientify#

The Clientify API enables automation and integration of Clientify's CRM functions within Pipedream. This API allows you to manage contacts, accounts, deals, and tasks, streamlining your customer relationship management. With Pipedream, you can harness these capabilities to create custom workflows that trigger actions within Clientify, respond to events, or connect with other apps to enhance productivity and data utilization.

Connect Clientify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clientify: {
      type: "app",
      app: "clientify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clientify.net/v1/users/`,
      headers: {
        "Authorization": `Token ${this.clientify.$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#

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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