Smartsheet

Dynamic work & collaboration software

Integrate the Smartsheet API with the Go API

Setup the Smartsheet API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Smartsheet 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 Smartsheet

The Smartsheet API gives developers access to Smartsheet platform features and
data, enabling you to build custom applications and integrations that extend
the functionality of Smartsheet. With the Smartsheet API, you can create
powerful integrations that are tailored to your specific business needs.

Using the Smartsheet API, you can:

  • Create and manage sheets, rows, and columns
  • Automate and manage sheet features such as formulas and conditional
    formatting
  • Develop custom sheet views, including sorting and filtering options
  • Capture and track changes with versioning
  • Read, write, and delete data
  • Create reports, dashboards, and timelines
  • Collaborate with comments and notifications
  • Store and organize files in Google Drive, Box and Dropbox
  • Run workflows and automate actions

Connect Smartsheet

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    smartsheet: {
      type: "app",
      app: "smartsheet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.smartsheet.com/2.0/users/me`,
      headers: {
        Authorization: `Bearer ${this.smartsheet.$auth.oauth_access_token}`,
      },
    })
  },
})

Connect Go

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
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)
}