Supernotes
Supernotes is your new home for ideas, records, tasks, and lists. Enjoy efficient note-taking without the hassle.
Integrate the Supernotes API with the Go API
Setup the Supernotes API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Supernotes and Go remarkably fast. Free for developers.
Popular Supernotes and Go Actions#
Create a single card with the minimum amount of data required. See 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.
Overview of Supernotes#
The Supernotes API lets you automate your note-taking and knowledge management tasks. With Supernotes, you can create, update, and organize cards, collaborate on notes with teammates, and track changes in your knowledge base. Using Pipedream, you can harness these abilities to create intricate workflows that leverage the capabilities of Supernotes in concert with hundreds of other services, creating a seamless integration for productivity and collaboration.
Connect Supernotes#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
supernotes: {
type: "app",
app: "supernotes",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.supernotes.app/v1/profiles/`,
headers: {
"Api-Key": `${this.supernotes.$auth.api_key}`,
},
})
},
})
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)
}