Goodreads

Meet your next favorite book

Integrate the Goodreads API with the Go API

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

The Goodreads API allows you to tap into a vast database of books, reviews, and reading data. With it, you can fetch details about books, find similar books, and access user reviews and ratings. On Pipedream, this translates into a wealth of opportunities for automating tasks related to literature discovery, sharing reading experiences, and connecting with fellow readers.

Connect Goodreads

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    goodreads: {
      type: "app",
      app: "goodreads",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.goodreads.com/search.xml`,
      headers: {
        Authorization: `Bearer oauth`,
        "accept": `application/json`,
      },
      params: {
        key: `${this.goodreads.$auth.key}`,
        "q": `Enders Game`,
      },
    })
  },
})

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)
}