Data247

A Data Management Platform for all of your data needs.

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.

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

The Data247 API allows developers to access data and build various types of
applications. Here are some examples of what you can build using the Data247
API:

  • A data visualization application that shows real-time data from the Data247
    API
  • An application that allows users to search for data sets and visualize the
    results
  • A data analysis application that uses the Data247 API to perform statistical
    analysis on data sets
  • A machine learning application that uses the Data247 API to train and test
    models on data sets

Connect Data247

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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

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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)
}