Florm

Create branded, logic-driven forms, surveys and data collection workflows, that connect with the 6,500+ apps you already use.

Integrate the Florm API with the Go API

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

Florm API allows you to craft surveys, quizzes, and forms and collect responses through a simple interface. With Pipedream, you can automate workflows by connecting Florm to various apps, triggering actions based on form submissions, and manipulating Florm data to fit your needs. Think of it as a bridge that lets your form responses flow into other systems, triggering emails, database updates, or even complex business logic.

Connect Florm

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    florm: {
      type: "app",
      app: "florm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://florm.app/api/team`,
      headers: {
        Authorization: `Bearer ${this.florm.$auth.api_key}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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

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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)
}