Integrate the Strava API with the Snowflake API

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

Popular Ways to Connect Strava with Snowflake#

Create Activity with Strava API on New Row from Snowflake API

Snowflake + Strava

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Get Activity By ID with Strava API on New Row from Snowflake API

Snowflake + Strava

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Get Activity List with Strava API on New Row from Snowflake API

Snowflake + Strava

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Get Stats with Strava API on New Row from Snowflake API

Snowflake + Strava

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Update Activity with Strava API on New Row from Snowflake API

Snowflake + Strava

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Popular Strava and Snowflake Triggers#

New Activity Created Event from the Strava API

Emit new event when a new activity is created

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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 Activity Updated Event from the Strava API

Emit new event when an activity is updated

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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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Popular Strava and Snowflake Actions#

Create Activity with the Strava API

Creates a manual activity for an athlete. See the docs

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Get Activity By ID with the Strava API

Returns the given activity that is owned by the authenticated athlete. See the docs

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Get Activity List with the Strava API

Returns the activities of an athlete for a specific identifier. See the docs

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Strava#

The Strava API lets you tap into the robust data from Strava's fitness app, which is a playground for athletes worldwide to track their workouts. With Pipedream, you can automate actions based on activities uploaded to Strava, such as running, biking, or swimming. Imagine syncing workout data to spreadsheets for analysis, auto-posting achievements to social media, or integrating with calendar apps for better scheduling. Pipedream's serverless platform makes it a breeze to create workflows that can listen for Strava webhooks, process data, and trigger actions in countless other apps.

Connect Strava#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    strava: {
      type: "app",
      app: "strava",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.strava.com/api/v3/athlete`,
      headers: {
        Authorization: `Bearer ${this.strava.$auth.oauth_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#

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
  },
})