Kadoa
AI-powered no-code platform. Empowering data enthusiasts with AI magic! 🚀 No-code platform for effortless data workflows. Extract, transform, and conquer! 🌐🔍 #DataNinja
Integrate the Kadoa API with the Go API
Setup the Kadoa API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Kadoa and Go remarkably fast. Free for developers.
Popular Kadoa and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Triggers a Kadoa workflow using Pipedream. See the documentation
Overview of Kadoa#
The Kadoa API enables automation and integration of Kadoa's time tracking and project management features. With it, you can manage projects, tasks, time entries, and extract reports programmatically. When combined with Pipedream's ability to connect to hundreds of other services and create complex workflows, the potential for increased efficiency and data connectivity is significant. You can trigger workflows on Pipedream with HTTP requests, schedule them, or even run them in response to emails, among other methods.
Connect Kadoa#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kadoa: {
type: "app",
app: "kadoa",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.kadoa.com/v2/controller/overview`,
headers: {
"x-api-key": `${this.kadoa.$auth.api_key}`,
"Accept": `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)
}