Ambivo

Digital Platform for fast-growing businesses. CRM | Payments | Phone | Automation | Intelligent Workflows | Website | 100% White glove service to build your website.

Integrate the Ambivo API with the Snowflake API

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

Get Contacts with Ambivo API on New Row from Snowflake API
Snowflake + Ambivo
 
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Get Leads with Ambivo API on New Row from Snowflake API
Snowflake + Ambivo
 
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Get Contacts with Ambivo API on New Query Results from Snowflake API
Snowflake + Ambivo
 
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Get Leads with Ambivo API on New Query Results from Snowflake API
Snowflake + Ambivo
 
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Get Contacts with Ambivo API on Failed Task in Schema from Snowflake API
Snowflake + Ambivo
 
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Contact Status Updated from the Ambivo API

Emit new event when a contact's status has been updated.

 
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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 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 Contact Created from the Ambivo API

Emit new event when a new contact is created in Ambivo.

 
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Get Contacts with the Ambivo API

Retrieves a list of contacts in Ambivo. See the documentation

 
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Get Leads with the Ambivo API

Retrieves a list of leads in Ambivo. See the documentation

 
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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 Ambivo

The Ambivo API provides access to a range of services for web scraping, image processing, and data extraction. On Pipedream, you can leverage these capabilities to automate workflows that require the transformation and analysis of content from various sources. Whether you're looking to extract text from images, scrape web data without getting blocked, or perform content-based image retrieval, Ambivo can be integrated with Pipedream's serverless platform to build robust and scalable automations.

Connect Ambivo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ambivo: {
      type: "app",
      app: "ambivo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://fapi.ambivo.com/crm/contacts/created`,
      headers: {
        Authorization: `Bearer ${this.ambivo.$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

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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
  },
})