Integrate the Twelve Data API with the Go API

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

Popular Twelve Data 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 Twelve Data#

The Twelve Data API provides access to real-time and historical stock market data, making it a powerful tool for financial analysis and trading strategy development. With this API, users can retrieve stock prices, forex data, indicators, and more, delivering the necessary information to monitor market trends closely. On Pipedream, you can leverage this data to create custom, serverless workflows that react to market changes, automate trading analysis, or integrate financial data into other apps and services for informed decision-making.

Connect Twelve Data#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    twelve_data: {
      type: "app",
      app: "twelve_data",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.twelvedata.com/quote?symbol=AAPL&apikey=demo&source=docs`,
      headers: {
        "Authorization": `apikey ${this.twelve_data.$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)
}