Platform for secure content management, workflow, and collaboration
Emit new event when an event with subscribed event source triggered on a target. See the documentation
Emit new event when a new file uploaded on a target. See the documentation
Emit new event when a new folder created on a target. See the documentation
Downloads a file from Box to your workflow's /tmp
directory. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Searches for files, folders, web links, and shared files across the users content or across the entire enterprise. See the documentation.
The Box API offers a playground for enhancing content management and collaboration within your cloud storage. With Pipedream, you can orchestrate Box's functionality to automate document handling, streamline approval flows, sync files across apps, and trigger actions based on file events. Think of Pipedream as the glue that allows you to connect Box with your tech stack, triggering workflows with new file uploads, comments, or when sharing settings change, to enhance productivity and minimize manual labor.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
box: {
type: "app",
app: "box",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.box.com/2.0/users/me`,
headers: {
Authorization: `Bearer ${this.box.$auth.oauth_access_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)
}