Degreed
Changing the World Through Learning Empower lifelong learners and career growth to drive innovation at your company.
Integrate the Degreed API with the Go API
Setup the Degreed API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Degreed and Go remarkably fast. Free for developers.
Popular Degreed 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 Degreed#
The Degreed API enables automated interactions with the Degreed platform, a hub for professional growth and learning. Through this API, you can programmatically access user data, learning content, pathways, and more. By leveraging Pipedream, users can design custom workflows that integrate Degreed's learning management capabilities with other services to streamline processes, report on progress, sync data across platforms, and even curate learning content based on specific triggers or criteria.
Connect Degreed#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
degreed: {
type: "app",
app: "degreed",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.${this.degreed.$auth.base_url}/api/v2/users/me`,
headers: {
Authorization: `Bearer ${this.degreed.$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)
}