Integrate the Browserhub API with the Snowflake API

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

Popular Ways to Connect Browserhub with Snowflake#

Run Automation with Browserhub API on New Row from Snowflake API

Snowflake + Browserhub

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Run Automation with Browserhub API on New Query Results from Snowflake API

Snowflake + Browserhub

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Insert Multiple Rows with Snowflake API on New Finished Automation Run from Browserhub API

Browserhub + Snowflake

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Insert Single Row with Snowflake API on New Finished Automation Run from Browserhub API

Browserhub + Snowflake

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Run Automation with Browserhub API on Failed Task in Schema from Snowflake API

Snowflake + Browserhub

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Popular Browserhub and Snowflake Triggers#

New Finished Automation Run from the Browserhub API

Emit new event when an automation run has finished running. See the documentation

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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 Database from the Snowflake API

Emit new event when a database is created

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Popular Browserhub and Snowflake Actions#

Run Automation with the Browserhub API

Triggers a pre-built automation by providing the scraper ID. 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 Browserhub#

The Browserhub API offers automation and control over browser sessions, enabling users to create, manipulate, and extract data from web pages programmatically. Integrating Browserhub with Pipedream opens a world of possibilities for automating web interaction workflows, monitoring website changes, scraping data, and testing web applications. Pipedream's serverless platform allows for easy orchestration of API calls and data handling, making it a powerful tool for developers to harness the capabilities of Browserhub in a scalable and efficient manner.

Connect Browserhub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    browserhub: {
      type: "app",
      app: "browserhub",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.browserhub.io/v1/status`,
      headers: {
        Authorization: `Bearer ${this.browserhub.$auth.api_key}`,
      },
    })
  },
})

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
  },
})