Integrate the PandaDoc API with the Snowflake API

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

Popular Ways to Connect PandaDoc with Snowflake#

Create Document Attachment with PandaDoc API on New Row from Snowflake API

Snowflake + PandaDoc

Try it

Create Document From File with PandaDoc API on New Row from Snowflake API

Snowflake + PandaDoc

Try it

Create Document From Template with PandaDoc API on New Row from Snowflake API

Snowflake + PandaDoc

Try it

Create Folder with PandaDoc API on New Row from Snowflake API

Snowflake + PandaDoc

Try it

Create or Update Contact with PandaDoc API on New Row from Snowflake API

Snowflake + PandaDoc

Try it

Popular PandaDoc and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

Try it

New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

Try it

Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

Try it

Document Creation Failed (Instant) from the PandaDoc API

Emit new event when a document failed to be created See docs here

Try it

New Database from the Snowflake API

Emit new event when a database is created

Try it

Popular PandaDoc and Snowflake Actions#

Create Document Attachment with the PandaDoc API

Adds an attachment to a document. See the docs here

Try it

Create Document From File with the PandaDoc API

Create a document from a file or public file URL. See the docs here

Try it

Create Document From Template with the PandaDoc API

Create Document from PandaDoc Template. See the docs here

Try it

Create Folder with the PandaDoc API

Create a new folder to store your documents. See the docs here

Try it

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

Try it

Overview of PandaDoc#

The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.

Connect PandaDoc#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pandadoc: {
      type: "app",
      app: "pandadoc",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pandadoc.com/public/v1/members/current/`,
      headers: {
        Authorization: `Bearer ${this.pandadoc.$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#

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
  },
})