Dext
Cloud accounting platform that provides you with real-time data and accurate insights.
Integrate the Dext API with the Go API
Setup the Dext API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Dext and Go remarkably fast. Free for developers.
Popular Dext and Go Actions#
Retrieves a detailed set of information about a particular client. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Retrieves the rolling annual and monthly-average Activity Stats for a particular client. See the documentation
Overview of Dext#
The Dext API allows you to automate the management of expenses, receipts, and invoices within your Dext account. With Pipedream, you can harness this API to create workflows that streamline your finance operations, such as extracting data from receipts, categorizing expenses, and syncing financial documents across various platforms. By connecting Dext with other apps through Pipedream, you can craft efficient, serverless workflows that save time and reduce manual data entry.
Connect Dext#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dext: {
type: "app",
app: "dext",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.xavier-analytics.com/clients`,
headers: {
Authorization: `Bearer ${this.dext.$auth.api_token}`,
},
})
},
})
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)
}