Integrate the Product Hunt API with the Snowflake API

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

Popular Ways to Connect Product Hunt with Snowflake#

Insert Multiple Rows with Snowflake API on New Product Added from Product Hunt API

Product Hunt + Snowflake

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Insert Multiple Rows with Snowflake API on New Product Trending from Product Hunt API

Product Hunt + Snowflake

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Insert Multiple Rows with Snowflake API on New Product Upvoted from Product Hunt API

Product Hunt + Snowflake

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Insert Row with Snowflake API on New Product Added from Product Hunt API

Product Hunt + Snowflake

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Insert Row with Snowflake API on New Product Trending from Product Hunt API

Product Hunt + Snowflake

Try it

Popular Product Hunt and Snowflake Triggers#

New Product Added from the Product Hunt API

Emit new event when any new product is posted.

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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 Product Trending from the Product Hunt API

Emit new event when a product posted by a user hits 100+ upvotes.

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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 Product Upvoted from the Product Hunt API

Emit new event when a user upvotes a product.

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Popular Product Hunt and Snowflake Actions#

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 Product Hunt#

The Product Hunt API taps into a vibrant community of tech enthusiasts and makers, allowing you to interact with their platform programmatically. With it, you can retrieve details on the latest trending products, post comments, and gather user data. Automating these interactions can keep you informed on tech trends, engage with the community, and analyze market interests.

Connect Product Hunt#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    product_hunt: {
      type: "app",
      app: "product_hunt",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{ 
        viewer { 
          user { 
            id
            username 
          } 
        } 
      }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.producthunt.com/v2/api/graphql`,
      headers: {
        Authorization: `Bearer ${this.product_hunt.$auth.oauth_access_token}`,
      },
      data,
    })
  },
})

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
  },
})