Integrate the Pikaso API with the Go API

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

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Popular Pikaso and Go Actions#

Screenshot Tweet with the Pikaso API

With the Pikaso API you can automate creating screenshots from tweets. See the docs for more information

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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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Overview of Pikaso#

The Pikaso API lets you capture and customize screenshots of tweets with defined styles, sizes, and themes. Harness this power within Pipedream to automate the process of capturing tweet images for reporting, archiving, or sharing across various platforms. Think of it as a bridge between Twitter's textual content and visually-oriented platforms or documents.

Connect Pikaso#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pikaso: {
      type: "app",
      app: "pikaso",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://pikaso.me/api/v1/me`,
      auth: {
        username: `${this.pikaso.$auth.token}`,
        password: `${this.pikaso.$auth.token_secret}`,
      },
    })
  },
})

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)
}

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