What do you want to automate

with Crowd.dev and Go?

Prompt, edit and deploy AI agents that connect to Crowd.dev, Go and 2,500+ other apps in seconds.

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

Overview of Crowd.dev

Crowd.dev is an API that enriches your understanding of your developer community by aggregating data from various platforms like GitHub, GitLab, and more. By connecting to Crowd.dev, you can track community activity, identify top contributors, and gauge the health of your open-source projects. Pipedream simplifies and amplifies the potential of the Crowd.dev API by allowing you to create automated workflows that respond to events in real-time, like new contributions, issues, or discussions.

Connect Crowd.dev

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crowd_dev: {
      type: "app",
      app: "crowd_dev",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.crowd.dev/api/auth/me`,
      headers: {
        Authorization: `Bearer ${this.crowd_dev.$auth.bearer_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

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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)
}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo