Harvest
Online Time Tracking and Invoicing Software
Integrate the Harvest API with the Snowflake API
Setup the Harvest API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Harvest and Snowflake remarkably fast. Free for developers.
Popular Harvest and Snowflake Triggers#
Popular Harvest and Snowflake Actions#
Creates a new time entry object. Create a time entry via duration documentation, Create a time entry via start and end time documentation
Overview of Harvest#
Harvest is a time tracking and invoicing tool that can streamline the way freelancers and businesses record time for various projects and tasks. By leveraging the Harvest API on Pipedream, you can automate complex workflows that integrate time tracking data with other business tools. Generate reports, sync project data, and manage invoices with minimal manual intervention. Pipedream's serverless platform lets you create these automations using simple, code-driven components, enabling a seamless connection between Harvest and a multitude of other apps.
Connect Harvest#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
harvest: {
type: "app",
app: "harvest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://id.getharvest.com/api/v2/accounts`,
headers: {
Authorization: `Bearer ${this.harvest.$auth.oauth_access_token}`,
"User-Agent": `Pipedream (pipedream.com)`,
},
})
},
})
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
},
})