Contentful (Content Management)
API-first content platform
Integrate the Contentful (Content Management) API with the Go API
Setup the Contentful (Content Management) API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Contentful (Content Management) and Go remarkably fast. Free for developers.
Popular Contentful (Content Management) 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 Contentful (Content Management)#
Contentful's Content Management API lets you manage content as data and integrate it seamlessly with any tech stack. On Pipedream, you can wield this power to automate content operations, sync data across platforms, and trigger workflows based on content events. For example, you could update an external database with new content entries, notify team members of content changes, or generate static sites when content updates.
Connect Contentful (Content Management)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
contentful: {
type: "app",
app: "contentful",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.contentful.com/spaces`,
headers: {
Authorization: `Bearer ${this.contentful.$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)
}