Integrate the DaData.ru API with the Go API

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

Popular DaData.ru 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 DaData.ru#

With the DaData.ru API, you can enrich, clean, and autocomplete various types of data, including addresses, names, and company details. This powerful tool can be used to enhance the quality of user input, automate data normalization, and conduct insightful analysis on datasets. Specifically, it can help verify and format addresses to ensure delivery accuracy, deduplicate and correct database entries, and provide auto-suggestions for form fields, improving user experience and backend data consistency.

Connect DaData.ru#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dadata_ru: {
      type: "app",
      app: "dadata_ru",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `pipedream @`,
    }
    return await axios($, {
      url: `https://suggestions.dadata.ru/suggestions/api/4_1/rs/suggest/email`,
      headers: {
        "Authorization": `Token ${this.dadata_ru.$auth.api_key}`,
      },
      data,
    })
  },
})

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)
}