Online Time Tracking and Invoicing Software
Creates a new time entry object. Create a time entry via duration documentation, Create a time entry via start and end time documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
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.
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)`,
},
})
},
})
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.
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)
}