Bitly
URL shortener
Integrate the Bitly API with the Go API
Setup the Bitly API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Bitly and Go remarkably fast. Free for developers.
Popular Bitly and Go Actions#
Converts a long url to a Bitlink and sets additional parameters.See the docs here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Retrieves all Bitlinks for a given group. See the docs here
Finds an existing Bitlink in your account. Optionally, creates one if none are found. See the docs here
Overview of Bitly#
The Bitly API enables you to programmatically shorten URLs, track click rates, and manage link performance metrics. By integrating Bitly with Pipedream, you can automate various tasks around link management and amalgamate Bitly’s capabilities with other services, thereby streamlining digital marketing efforts, enhancing social media strategies, and monitoring engagement through data-driven insights.
Connect Bitly#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bitly: {
type: "app",
app: "bitly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-ssl.bitly.com/v4/user`,
headers: {
Authorization: `Bearer ${this.bitly.$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)
}