Auth0 (Management API)
Modern identity platform
Integrate the Auth0 (Management API) API with the Go API
Setup the Auth0 (Management API) API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Auth0 (Management API) and Go remarkably fast. Free for developers.
Popular Auth0 (Management API) 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.
Overview of Auth0 (Management API)#
The Auth0 Management API can be used to create, read, update,
and delete users, as well as to query for them. Additionally, you can
use the Management API to change user passwords, add and remove user roles,
link and unlink user accounts, and more. For more information, see the Auth0 Management API documentation here.
Connect Auth0 (Management API)#
// In order to use the example request below, please ensure that you have the scope
// `read:users` on your application.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
auth0_management_api: {
type: "app",
app: "auth0_management_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.auth0_management_api.$auth.domain}/api/v2/users`,
headers: {
Authorization: `Bearer ${this.auth0_management_api.$auth.oauth_access_token}`,
},
})
},
})
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)
}