Crowd.dev
Crowd.dev is the developer community data platform - Understand, grow, and leverage your developer community with zero hassle.
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.
Popular Crowd.dev and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
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#
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#
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)
}