Ecologi

Ecologi is the platform for collective climate action. 🌱

Integrate the Ecologi API with the Go API

Setup the Ecologi API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Ecologi 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 Ecologi

The Ecologi API allows you to integrate with their platform to track and support climate projects. Through Pipedream, you can automate interactions with Ecologi, including retrieving your carbon offset data, funding climate projects, and planting trees. With Pipedream's serverless platform, you can create workflows that trigger based on various events, process data, and connect with thousands of other apps to perform actions conditionally based on your sustainability goals.

Connect Ecologi

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ecologi: {
      type: "app",
      app: "ecologi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://public.ecologi.com/users/{{YOUR_USERNAME}}/trees`,
      headers: {
        Authorization: `Bearer ${this.ecologi.$auth.api_key}`,
        "Accept": `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)
}