Trakt
Trakt is a service that integrates with your media center to better keep track of the TV shows and movies that you've watched.
Integrate the Trakt API with the Go API
Setup the Trakt API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Trakt and Go remarkably fast. Free for developers.
Popular Trakt and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Remove one of more items from watchlist. See the documentation
Overview of Trakt#
The Trakt API provides an interface to track and discover movies and TV shows, allowing you to manage watchlists, get personalized recommendations, and engage with a social community of film and TV enthusiasts. On Pipedream, you can harness this API to create custom workflows that automate your media activities, sync your watch status with other apps, or even analyze your viewing habits.
Connect Trakt#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trakt: {
type: "app",
app: "trakt",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.trakt.$auth.environment}.trakt.tv/users/me`,
headers: {
Authorization: `Bearer ${this.trakt.$auth.oauth_access_token}`,
"Content-Type": `application/json`,
"trakt-api-version": `2`,
"trakt-api-key": `${this.trakt.$auth.oauth_client_id}`,
},
})
},
})
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)
}