Bitly

URL shortener

Integrate the Bitly API with the Snowflake API

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

Create a Bitlink with Bitly API on New Row from Snowflake API
Snowflake + Bitly
 
Try it
Expand a Bitlink with Bitly API on New Row from Snowflake API
Snowflake + Bitly
 
Try it
List Bitlinks by group with Bitly API on New Row from Snowflake API
Snowflake + Bitly
 
Try it
Retrieve a Bitlink with Bitly API on New Row from Snowflake API
Snowflake + Bitly
 
Try it
Shorten a Link with Bitly API on New Row from Snowflake API
Snowflake + Bitly
 
Try it
New Row from the Snowflake API

Emit new event when a row is added to a table

 
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
New Database from the Snowflake API

Emit new event when a database is created

 
Try it
New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
Try it
Create a Bitlink with the Bitly API

Converts a long url to a Bitlink and sets additional parameters.See the docs here

 
Try it
Expand a Bitlink with the Bitly API

Retrieves information about Bitlink using id. See the docs here

 
Try it
List Bitlinks by group with the Bitly API

Retrieves all Bitlinks for a given group. See the docs here

 
Try it
Retrieve a Bitlink with the Bitly API

Finds an existing Bitlink in your account. Optionally, creates one if none are found. See the docs here

 
Try it
Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
Try it

Overview of Bitly

The Bitly API enables you to programmatically shorten URLs, track click rates, and manage link performance metrics. By integrating Bitly with Pipedream, you can automate various tasks around link management and amalgamate Bitly’s capabilities with other services, thereby streamlining digital marketing efforts, enhancing social media strategies, and monitoring engagement through data-driven insights.

Connect Bitly

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bitly: {
      type: "app",
      app: "bitly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-ssl.bitly.com/v4/user`,
      headers: {
        Authorization: `Bearer ${this.bitly.$auth.oauth_access_token}`,
      },
    })
  },
})

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
  },
})