Online management software for entrepreneurs, small businesses, and self-employed individuals. Quotes, invoicing, payments, treasury, accounting, and much more.
Emit new event each time a contact is created, updated or deleted in Altoviz.
Emit new event when a product is created, updated or deleted in Altoviz.
Emit new event each time a sales invoice is created, updated, or deleted in Altoviz
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Finds products in Altoviz using the 'productnumber' prop. See the documentation
The Altoviz API offers access to a range of data visualization tools that allow users to create, manage, and embed interactive charts and maps into their applications. With Pipedream, you can leverage this functionality to automate the generation of custom visualizations based on various data sources and events. You can trigger workflows using webhooks, schedule them, or even react to emails and messages, and then use the Altoviz API to dynamically create data visualizations that can be shared with your audience or team.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
altoviz: {
type: "app",
app: "altoviz",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.altoviz.com/v1/Users/me `,
headers: {
"X-API-KEY": `${this.altoviz.$auth.api_key}`,
},
})
},
})
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.
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)
}