Integrate the Pocket API with the Snowflake API

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

Popular Ways to Connect Pocket with Snowflake#

Save To Later with Pocket API on New Row from Snowflake API

Snowflake + Pocket

Try it

Save To Later with Pocket API on New Query Results from Snowflake API

Snowflake + Pocket

Try it

Insert Multiple Rows with Snowflake API on New Archived item from Pocket API

Pocket + Snowflake

Try it

Insert Multiple Rows with Snowflake API on New Favorited item from Pocket API

Pocket + Snowflake

Try it

Insert Multiple Rows with Snowflake API on New Item from Pocket API

Pocket + Snowflake

Try it

Popular Pocket and Snowflake Triggers#

New Archived item from the Pocket API

Emit new event for each archived item.

Try it

New Row from the Snowflake API

Emit new event when a row is added to a table

Try it

New Favorited item from the Pocket API

Emit new event for each favorited item.

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

New Item from the Pocket API

Emit new event for each added item.

Try it

Popular Pocket and Snowflake Actions#

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

Try it

Save To Later with the Pocket API

Save articles, videos, images and URLs to your Pocket list. See docs here

Try it

Insert Single Row with the Snowflake API

Insert a row into a table

Try it

Overview of Pocket#

Pocket's API on Pipedream allows for the automation of content curation workflows. Users can add, retrieve, and organize articles, videos, or other content they want to view later. By leveraging the API, you can create systems for tagging and sorting saved items, integrating them with other services for further processing or sharing. This could be useful for content creators, researchers, or anyone needing to manage a large influx of information efficiently.

Connect Pocket#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pocket: {
      type: "app",
      app: "pocket",
    }
  },
  async run({steps, $}) {
    const pocketReq = {
      method: "post",
      url: "/v3/get",
      data: {
        count: 10,
        access_token: this.pocket.$auth.oauth_access_token,
      },
    }
    // proxy pocket request
    return await axios($, {
      url: "https://enkogw2a5epb176.m.pipedream.net",
      params: {
        http_respond: 1,
      },
      data: pocketReq,
    })
  },
})

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
  },
})