Integrate the RSS API with the Snowflake API

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

Popular Ways to Connect RSS with Snowflake#

Insert Multiple Rows with Snowflake API on New Item in Feed from RSS API

RSS + Snowflake

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Insert Row with Snowflake API on New Item in Feed from RSS API

RSS + Snowflake

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Merge RSS Feeds with RSS API on New Row from Snowflake API

Snowflake + RSS

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Merge RSS Feeds with RSS API on Query Results from Snowflake API

Snowflake + RSS

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Insert Multiple Rows with Snowflake API on New Item From Multiple RSS Feeds from RSS API

RSS + Snowflake

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Popular RSS and Snowflake Triggers#

New Item in Feed from the RSS API

Emit new items from an RSS feed

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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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New Item From Multiple RSS Feeds from the RSS API

Emit new items from multiple RSS feeds

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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 RSS and Snowflake Actions#

Merge RSS Feeds with the RSS API

Retrieve multiple RSS feeds and return a merged array of items sorted by date See 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 RSS#

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Connect RSS#

module.exports = defineComponent({
  props: {
    rss: {
      type: "app",
      app: "rss",
    }
  },
  async run({steps, $}) {
    // Retrieve items from a sample feed
    const Parser = require('rss-parser');
    const parser = new Parser();
    
    const stories = []
    
    // Replace with your feed URL
    const url = "https://pipedream.com/community/latest.rss"
    
    const feed = await parser.parseURL(url);
    const { title, items } = feed
    this.title = title
    
    if (!items.length) {
      $end("No new stories")
    }
    
    this.items = items
  },
})

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
  },
})