Jellyreach

Deliver automated, relevant, and timely messages aligned with customers preferences.

Integrate the Jellyreach API with the Go API

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

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.

 
Try it

Overview of Jellyreach

Jellyreach API lets you automate your marketing campaigns by triggering personalized emails, SMS, and push notifications based on various customer actions or data. Integrating Jellyreach with Pipedream's serverless platform allows seamless connectivity between Jellyreach and other services, enabling sophisticated multi-channel communication strategies that can be tailored on-the-fly to suit an array of business needs.

Connect Jellyreach

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jellyreach: {
      type: "app",
      app: "jellyreach",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.jellyreach.com/v1/contacts`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `${this.jellyreach.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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

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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)
}