Wachete

Track and monitor any changes on the web.

Integrate the Wachete API with the Snowflake API

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

Create Monitor with Wachete API on New Row from Snowflake API
Snowflake + Wachete
 
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Delete Monitor with Wachete API on New Row from Snowflake API
Snowflake + Wachete
 
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Fetch Monitor Data with Wachete API on New Row from Snowflake API
Snowflake + Wachete
 
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Create Monitor with Wachete API on New Query Results from Snowflake API
Snowflake + Wachete
 
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Delete Monitor with Wachete API on New Query Results from Snowflake API
Snowflake + Wachete
 
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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 Web Content Update (Instant) from the Wachete API

Emit new event when a Wachet receives a new notification

 
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New Database from the Snowflake API

Emit new event when a database is created

 
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Create Monitor with the Wachete API

Creates a new monitor for a specific website or web page. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

 
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Delete Monitor with the Wachete API

Removes an existing monitor for a specific website or web page. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

 
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Fetch Monitor Data with the Wachete API

Retrieves data from a monitored website or web pages. [See the documentation(https://api.wachete.com/swagger/ui/index/index.html)

 
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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 Wachete

The Wachete API lets you track changes in web content and get notified when updates happen. This is handy for monitoring websites for new content, price changes, or availability of products, without manually checking the sites. Using Pipedream, you can integrate Wachete with other apps to automate reactions to these updates. Think about monitoring your competitors’ sites, keeping tabs on industry news, or even watching for job postings. With Wachete on Pipedream, these tasks become set-and-forget operations.

Connect Wachete

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wachete: {
      type: "app",
      app: "wachete",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.wachete.com/thirdparty/v1/notification/list`,
      headers: {
        Authorization: `Bearer ${this.wachete.$auth.oauth_access_token}`,
        "Content-type": `application/json`,
        "accept": `*/*`,
      },
    })
  },
})

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
  },
})