Hacker News

Social news website

Integrate the Hacker News API with the Snowflake API

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

Insert Multiple Rows with Snowflake API on New Stories by Keyword from Hacker News API
Hacker News + Snowflake
 
Try it
Insert Row with Snowflake API on New Stories by Keyword from Hacker News API
Hacker News + Snowflake
 
Try it
Insert Multiple Rows with Snowflake API on New Comments by Keyword from Hacker News API
Hacker News + Snowflake
 
Try it
Insert Row with Snowflake API on New Comments by Keyword from Hacker News API
Hacker News + Snowflake
 
Try it
New Stories by Keyword from the Hacker News API

Emit new stories that mention a specific keyword

 
Try it
New Row from the Snowflake API

Emit new event when a row is added to a table

 
Try it
New Comments by Keyword from the Hacker News API

Emit new comments that mention a specific keyword

 
Try it
New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
Try it
Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
Try it
Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
Try it
Insert Single Row with the Snowflake API

Insert a row into a table

 
Try it

Overview of Hacker News

The Hacker News API on Pipedream allows you to tap into the vibrant pool of stories, comments, and user data from one of tech's favorite forums. By leveraging this API, you can automate the process of extracting data for analysis, tracking mentions of specific topics, or even monitoring the performance of your own submissions. The real power lies in integrating this wealth of information with other services to create custom, automated workflows that save time and keep you informed.

Connect Hacker News

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hacker_news: {
      type: "app",
      app: "hacker_news",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://hn.algolia.com/api/v1/search_by_date?query=pipedream`,
    })
  },
})

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
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
  },
})