Microsoft Dynamics 365 Business Central API

Run your entire business with a single solution

Integrate the Microsoft Dynamics 365 Business Central API API with the Go API

Setup the Microsoft Dynamics 365 Business Central API API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Microsoft Dynamics 365 Business Central API 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 Microsoft Dynamics 365 Business Central API

Microsoft Dynamics 365 Business Central is a powerful tool that can help
businesses automate their processes and improve their bottom line. The API
allows businesses to connect to their Business Central instance and access
their data. With the API, businesses can perform actions such as:

  • Create and update records
  • Send and receive data
  • Add and remove users
  • Manage user permissions
  • Access reports and analytics

The possibilities are endless! Businesses can use the API to build custom
solutions that fit their specific needs.

Connect Microsoft Dynamics 365 Business Central API

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: {
    dynamics_365_business_central_api: {
      type: "app",
      app: "dynamics_365_business_central_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.microsoft.com/beta/me`,
      headers: {
        Authorization: `Bearer ${this.dynamics_365_business_central_api.$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)
}