Integrate the Placid API with the Go API

Setup the Placid API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Placid and Go remarkably fast. Free for developers.

Popular Placid and Go Actions#

Generate Image with the Placid API

Generate a new image based on a specified template. See the documentation

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Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

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Generate PDF with the Placid API

Creates a new PDF based on a specified template. See the documentation

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Overview of Placid#

The Placid API lets you automate the creation of visual content such as images and videos. With Pipedream, you can trigger workflows using various events, process data, and use the Placid API to dynamically generate marketing materials, social media graphics, personalized images for email campaigns, and more. Leveraging Pipedream's capabilities, you can integrate Placid with other apps to create robust, multi-step automations without writing extensive code.

Connect Placid#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    placid: {
      type: "app",
      app: "placid",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.placid.app/api/rest/templates`,
      headers: {
        Authorization: `Bearer ${this.placid.$auth.api_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)
}