Integrate the Data247 API with the Go API

Setup the Data247 API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Data247 and Go remarkably fast. Free for developers.

Popular Data247 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 Data247#

Data247 is a powerful service that provides real-time data such as phone carrier lookup, email to SMS gateway, text/SMS verification, and append information (e.g., appending carrier data to phone numbers). By leveraging Data247 with Pipedream, you can automate various data enrichment processes, validate customer contact details, or integrate enhanced data insights into your business workflows. This empowers you to maintain data accuracy, streamline communication strategies, and customize user experiences based on rich data sets.

Connect Data247#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    data247: {
      type: "app",
      app: "data247",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.data247.com/v3.0`,
      params: {
        key: `${this.data247.$auth.api_key}`,
        api: `MT`,
        phone: `{your_phone_number_here}`,
      },
    })
  },
})

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)
}