Revolutionizing how video is built. Create, edit and distribute thousands of bespoke, data driven videos in minutes with Shotstack.
Trigger when a new media asset has been uploaded to the Shotstack API. See the documentation here.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Generate a timeline with layers and assets for a new video project. See the documentation here.
Initiate rendering of a video using a timeline created in Shotstack API. See the documentation here.
Add media assets like images, audio, or video to the Shotstack API for use in video projects. See the documentation here.
The Shotstack API is a video editing platform that allows you to automate the creation and production of videos. With it, you can edit clips, add transitions, overlays, and backgrounds, and even include music in your videos. Integrating Shotstack with Pipedream can supercharge your workflow by automating the video creation process. You can trigger video edits in response to various events, manage assets, or even kick off rendering jobs based on data from other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
shotstack: {
type: "app",
app: "shotstack",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.shotstack.io/ingest/${this.shotstack.$auth.version}/sources`,
headers: {
"x-api-key": `${this.shotstack.$auth.api_key}`,
},
})
},
})
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)
}