Async Interview is the world’s most advanced video interviewing platform, offering pre-recorded interviews customized to meet any recruitment scenario.
Emit new event when a new interview response is received.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
async_interview: {
type: "app",
app: "async_interview",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.asyncinterview.ai/api/jobs`,
headers: {
Authorization: `Bearer ${this.async_interview.$auth.api_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)
}