Integrate the Alpha Vantage API with the Go API

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

Popular Alpha Vantage and Go Actions#

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 Alpha Vantage#

The Alpha Vantage API offers access to a wealth of financial data, including real-time and historical stock prices, forex rates, cryptocurrency data, and more. With Pipedream’s serverless platform, you can easily connect Alpha Vantage to a variety of other services and apps to create powerful financial data workflows. Automate the tracking of stock performance, set up alerts for forex rate changes, digest cryptocurrency trends, or integrate financial data into custom dashboards or databases without the need to manage complex infrastructure.

Connect Alpha Vantage#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    alpha_vantage: {
      type: "app",
      app: "alpha_vantage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.alphavantage.co/query?`,
      params: {
        function: `GLOBAL_QUOTE`,
        symbol: `MSFT`,
        apikey: `${this.alpha_vantage.$auth.api_key}`,
      },
    })
  },
})

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)
}