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Popular Clockify and Go Actions#
Adds member(s) to a project in Clockify. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Adds a task to a project in Clockify. See the documentation
Overview of Clockify#
Clockify is a time tracking and timesheet app that provides a straightforward way to track work hours across projects. With the Clockify API on Pipedream, you can automate time tracking, create detailed reports, manage projects, and sync timesheet data with other apps. Using Pipedream, you can create workflows that trigger on events in Clockify or other apps, process the data, and perform actions like logging time automatically, sending notifications, or creating invoices based on tracked time.
Connect Clockify#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
clockify: {
type: "app",
app: "clockify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.clockify.me/api/v1/user`,
headers: {
"X-Api-Key": `${this.clockify.$auth.api_key}`,
"content-type": `application/json`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies