Judge.me

Judge.me is the gold standard of product reviews and store reviews on Shopify.

Integrate the Judge.me API with the Snowflake API

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

Private Reply with Judge.me API on New Row from Snowflake API
Snowflake + Judge.me
 
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Reply with Judge.me API on New Row from Snowflake API
Snowflake + Judge.me
 
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Private Reply with Judge.me API on New Query Results from Snowflake API
Snowflake + Judge.me
 
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Reply with Judge.me API on New Query Results from Snowflake API
Snowflake + Judge.me
 
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Insert Multiple Rows with Snowflake API on New Review (Instant) from Judge.me API
Judge.me + Snowflake
 
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New Review (Instant) from the Judge.me API

Emit new event when a new review is posted. See the documentation

 
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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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
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New Database from the Snowflake API

Emit new event when a database is created

 
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Private Reply with the Judge.me API

Create a private reply for a review, on behalf of the shop. Private replies are not shown on the widgets, but can be emailed to the reviewers. See the documentation

 
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Reply with the Judge.me API

Create a public reply for a review on behalf of the shop. Public replies are shown publicly on the widgets. 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 Judge.me

The Judge.me API lets you tap into a rich repository of product review data, enabling you to automate the gathering, moderation, and publication of reviews on your store. You can also trigger actions based on review events, like thanking a customer after they leave a positive review or addressing negative feedback promptly. With Pipedream's serverless platform, you can craft workflows to interact with other apps, streamline processes, and react to review-related activities in real-time, without writing any backend code.

Connect Judge.me

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    judge_me: {
      type: "app",
      app: "judge_me",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://judge.me/api/v1/reviews`,
      params: {
        api_token: `${this.judge_me.$auth.oauth_access_token}`,
        shop_domain: `${this.judge_me.$auth.shop_domain}`,
      },
    })
  },
})

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
  },
})