Apify

Apify is the place to find, develop, buy and run cloud programs called actors. Use actors to turn any website into an API.

Integrate the Apify API with the Snowflake API

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

Run Actor with Apify API on New Row from Snowflake API
Snowflake + Apify
 
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Scrape Single URL with Apify API on New Row from Snowflake API
Snowflake + Apify
 
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Set Key-Value Store Record with Apify API on New Row from Snowflake API
Snowflake + Apify
 
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Run Actor with Apify API on New Query Results from Snowflake API
Snowflake + Apify
 
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Scrape Single URL with Apify API on New Query Results from Snowflake API
Snowflake + Apify
 
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New Finished Actor Run (Instant) from the Apify API

Emit new event when a selected actor is run and finishes.

 
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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 Finished Task Run (Instant) from the Apify API

Emit new event when a selected task is run and finishes.

 
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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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Run Actor with the Apify API

Performs an execution of a selected actor in Apify. See the documentation

 
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Scrape Single URL with the Apify API

Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Set Key-Value Store Record with the Apify API

Create or update a record in the key-value store of Apify. See the documentation

 
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Insert Single Row with the Snowflake API

Insert a row into a table

 
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Overview of Apify

The Apify API unleashes the power to automate web scraping, process data, and orchestrate web automation workflows. By utilizing Apify on Pipedream, you can create dynamic serverless workflows to manage tasks like extracting data from websites, running browser automation, and scheduling these jobs to run autonomously. It integrates smoothly with Pipedream's capabilities to trigger actions on various other apps, store the results, and manage complex data flow with minimal setup.

Connect Apify

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    apify: {
      type: "app",
      app: "apify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.apify.com/v2/users/me`,
      headers: {
        Authorization: `Bearer ${this.apify.$auth.api_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
  },
})