Adobe Acrobat Sign
E-signatures & digital signing software
Integrate the Adobe Acrobat Sign API with the Go API
Setup the Adobe Acrobat Sign API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Adobe Acrobat Sign and Go remarkably fast. Free for developers.
Popular Adobe Acrobat Sign and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Adobe Acrobat Sign#
The Adobe Acrobat Sign API lets you embed e-signature processes into your custom applications, automate document workflows, and manage e-signatures. Specifically within Pipedream, you can harness this API to build serverless workflows that automate document signing requests, track status changes, and manage signed documents without ever leaving the platform. You can create workflows that trigger on various events, send out documents to be signed, and handle the responses—all programmatically.
Connect Adobe Acrobat Sign#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adobe_sign: {
type: "app",
app: "adobe_sign",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.adobe_sign.$auth.api_access_point}api/rest/v6/users/me`,
headers: {
Authorization: `Bearer ${this.adobe_sign.$auth.oauth_access_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)
}