Foursquare

Independent location data platform

Integrate the Foursquare API with the Snowflake API

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

Create Check In with Foursquare API on New Row from Snowflake API
Snowflake + Foursquare
 
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Create Tip with Foursquare API on New Row from Snowflake API
Snowflake + Foursquare
 
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Create Check In with Foursquare API on New Query Results from Snowflake API
Snowflake + Foursquare
 
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Create Tip with Foursquare API on New Query Results from Snowflake API
Snowflake + Foursquare
 
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Create Check In with Foursquare API on Failed Task in Schema from Snowflake API
Snowflake + Foursquare
 
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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 Check-In from the Foursquare API

Emit new event when a user checks in.

 
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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 Tip from the Foursquare API

Emit new event when a user adds a new tip.

 
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Create Check In with the Foursquare API

Allows the user to generate a new check-in at a specific location on Foursquare. See the documentation

 
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Create Tip with the Foursquare API

Allows the user to create a new tip for a venue on Foursquare. 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 Foursquare

The Foursquare API empowers developers to tap into rich data about venues, user check-ins, and location-based experiences. On Pipedream, you can harness this API to automate tasks such as fetching venue recommendations based on user preferences, keeping a log of customer visits to your business, or integrating location insights into your CRM. Combining Foursquare data with other services on Pipedream allows you to create powerful, location-aware business solutions without the heavy lifting of manual data handling.

Connect Foursquare

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    foursquare: {
      type: "app",
      app: "foursquare",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.foursquare.com/v2/users/self`,
      headers: {
        Authorization: `Bearer ${this.foursquare.$auth.oauth_access_token}`,
      },
      params: {
        oauth_token: `${this.foursquare.$auth.oauth_access_token}`,
        "v": `20191001`,
      },
    })
  },
})

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
  },
})