TidyCal
World's simplest, most affordable scheduling tool (alternative to Calendly).
Integrate the TidyCal API with the Snowflake API
Setup the TidyCal API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate TidyCal and Snowflake remarkably fast. Free for developers.
Popular TidyCal and Snowflake Triggers#
Triggered when an existing appointment is cancelled by a client or by the owner. See the documentation
Run a SQL query on a schedule, triggering a workflow for each row of results
Triggered when a new appointment is booked using TidyCal. See the documentation
Overview of TidyCal#
The TidyCal API allows for scheduling automation, linking your calendar to create and manage bookings. In Pipedream, you can harness this API to create event-driven workflows, such as syncing with other calendar services, triggering reminders, or connecting with CRM systems to streamline your scheduling process. Pipedream's serverless platform enables you to build and run these workflows efficiently, without the need to manage infrastructure.
Connect TidyCal#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tidycal: {
type: "app",
app: "tidycal",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://tidycal.com/api/me`,
headers: {
Authorization: `Bearer ${this.tidycal.$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#
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
},
})