Use Google Tasks to keep track of important to-dos that sync across all your devices.
Emit new event for each task added to Google Tasks. See the documentation
Emit new event for each task added or updated to Google Tasks. See the documentation
Creates a new task and adds it to the authenticated user's task lists. See the docs here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Creates a new task list and adds it to the authenticated user's task lists. See the docs here
Deletes the authenticated user's specified task. See the docs here
Deletes the authenticated user's specified task list. See the docs here
The Google Tasks API allows you to manage and manipulate a user's tasks and task lists on Google Tasks directly from Pipedream. With this API, you can create, read, update, and delete tasks, as well as manage the lists themselves. This opens up possibilities for automating task management, syncing tasks with other systems, and creating custom task-based workflows that can increase productivity and ensure nothing falls through the cracks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_tasks: {
type: "app",
app: "google_tasks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/tasks/v1/users/@me/lists`,
headers: {
Authorization: `Bearer ${this.google_tasks.$auth.oauth_access_token}`,
},
})
},
})
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)
}