The World's Most Powerful & Flexible Video Platform
Emit new event when a new media conversion is completed or a media becomes available.
Creates a new media file in JW Player using fetch or external upload methods. 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 a media or lists all media available in JW Player. See the documentation
The JW Player API offers a way to manage and deliver video content programmatically. On Pipedream, you can leverage this API to automate video publishing workflows, analyze viewer data, and integrate with other services. Creating, updating, and managing video metadata can be automated, as well as handling video transcoding jobs and analyzing performance with custom metrics. By tapping into Pipedream's serverless platform, you can build powerful automations without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jw_player: {
type: "app",
app: "jw_player",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.jwplayer.com/v2/sites/{{your_site_id}}/media/`,
headers: {
"Authorization": `${this.jw_player.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
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)
}