What do you want to automate
with Google Slides and Go?
Prompt, edit and deploy AI agents that connect to Google Slides, Go and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Google Slides and Go Actions#
Create a blank presentation or duplicate an existing presentation. See the docs here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Find a presentation on Google Drive. See the docs here
Overview of Google Slides#
The Google Slides API allows you to create, read, and edit Google Slides presentations programmatically. With Pipedream's integration, you can automate your slide workflows, enabling dynamic content updates, collaboration enhancements, and streamlined reporting. By plugging into Pipedream's serverless platform, you can trigger slide creation or updates based on events from other apps, process data for presentations, and handle sharing and publishing tasks—all with minimal fuss.
Connect Google Slides#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_slides: {
type: "app",
app: "google_slides",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_slides.$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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies