Plasmic
Visually build pages and content on any tech stack. Empower the whole team to ship incredibly fast
Integrate the Plasmic API with the Go API
Setup the Plasmic API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Plasmic and Go remarkably fast. Free for developers.
Popular Plasmic 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.
Overview of Plasmic#
The Plasmic API enables you to tap into the powerful visual design features of Plasmic within Pipedream workflows. With it, you can automate the fetching, updating, and publishing of Plasmic projects and their components. This opens up possibilities for dynamic content management, design collaboration automation, and streamlined deployment processes. You can use the Plasmic API to integrate with various services, trigger updates across platforms, or synchronize design changes in real-time.
Connect Plasmic#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
plasmic: {
type: "app",
app: "plasmic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://codegen.plasmic.app/api/v1/loader/html/preview/${this.plasmic.$auth.project_id}/{your_component_name}`,
headers: {
"x-plasmic-api-project-tokens": `${this.plasmic.$auth.project_id}:${this.plasmic.$auth.project_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)
}