Draftable

Document Comparison Software

Integrate the Draftable API with the Go API

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

The Draftable API provides a powerful platform for comparing documents programmatically. Leverage this API via Pipedream to automate the comparison of text files, enabling quick and accurate detection of differences between versions. Whether you're tracking changes in legal contracts, software documentation, or manuscript revisions, integrating Draftable with Pipedream can streamline your comparison workflows, triggering actions in other apps based on the results.

Connect Draftable

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: {
    draftable: {
      type: "app",
      app: "draftable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.draftable.com/v1/comparisons/[ACCOUNT_ID]/[IDENTIFIER]`,
      headers: {
        "Authorization": `Token ${this.draftable.$auth.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

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)
}