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with LinkedIn and Go?
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Popular LinkedIn and Go Triggers#
Emit new event when a new post is created by the organization. See the documentation
Popular LinkedIn and Go Actions#
Create post on LinkedIn using text, URL or article. See the documentation for more information
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Create post on LinkedIn using text, URL or article. See the documentation for more information
Create a comment on a share or user generated content post. See the docs here
Create an image post on LinkedIn. See the documentation
Overview of LinkedIn#
The LinkedIn API on Pipedream allows you to automate interactions with your LinkedIn account, such as posting updates, managing your profile, and engaging with your network. With Pipedream's serverless platform, you can create workflows that trigger on various events, process data, and connect with countless other apps to extend your LinkedIn presence, analyze your network's demographics, automate content sharing, and more.
Connect LinkedIn#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linkedin: {
type: "app",
app: "linkedin",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.linkedin.com/v2/me`,
headers: {
Authorization: `Bearer ${this.linkedin.$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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies