Integrate the Google Maps (Places API) API with the Go API

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

Popular Google Maps (Places API) 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 Google Maps (Places API)#

The Google Maps (Places API) offers detailed information about physical locations, including places of interest, reviews, and other metadata. In Pipedream, you can leverage this API to create dynamic workflows that respond to location data. Whether you're building apps that track asset locations, automate location-based alerts, or provide users with local info, integrating with Google Maps can add a powerful spatial context to your services.

Connect Google Maps (Places API)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_maps_platform: {
      type: "app",
      app: "google_maps_platform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://maps.googleapis.com/maps/api/place/findplacefromtext/json`,
      params: {
        key: `${this.google_maps_platform.$auth.api_key}`,
        input: `Museum of Contemporary Art Australia`,
        inputtype: `textquery`,
      },
    })
  },
})

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)
}