imgbb

Free image hosting and sharing service

Integrate the imgbb API with the Go API

Setup the imgbb API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate imgbb and Go remarkably fast. Free for developers.

Upload picture with the imgbb API

Upload a picture to imgbb. See the docs here

 
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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.

 
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Overview of imgbb

The imgbb API offers a straightforward solution for uploading images to the imgbb platform. Once uploaded, images can be shared across the web with ease, thanks to the provided URL links. This opens up a world of possibilities for automating image storage and distribution workflows on Pipedream. Whether you're managing a content-heavy blog, streamlining an eCommerce site with dynamic product images, or automating social media postings, using the imgbb API with Pipedream can save time and reduce manual effort.

Connect imgbb

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    imgbb: {
      type: "app",
      app: "imgbb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.imgbb.com/1/upload`,
      params: {
        key: `${this.imgbb.$auth.api_key}`,
        image: `R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7`,
        name: ``,
      },
    })
  },
})

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)
}