Toggl Track
Time tracking software
Integrate the Toggl Track API with the Snowflake API
Setup the Toggl Track API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Toggl Track and Snowflake remarkably fast. Free for developers.
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Popular Toggl Track and Snowflake Triggers#
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a time entry is started. See docs here
Emit new event when a time entry is created. See docs here
Popular Toggl Track and Snowflake Actions#
Get the time entry that is running now. [See docs here]https://developers.track.toggl.com/docs/api/time_entries#get-get-current-time-entry)
Overview of Toggl Track#
Toggl Track is a time tracking API that lets you start, stop, and manage timers and time entries, as well as manage projects, clients, and tasks associated with time records. With the Toggl Track API on Pipedream, you can automate time tracking activities, synchronize data across platforms, and generate insights from time tracking data to improve productivity and project management.
Connect Toggl Track#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
toggl: {
type: "app",
app: "toggl",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.track.toggl.com/api/v9/me`,
auth: {
username: `${this.toggl.$auth.api_token}`,
password: `api_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 snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies