Simple Analytics
Privacy friendly analytics. No cookies. No personal data.
Integrate the Simple Analytics API with the Go API
Setup the Simple Analytics API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Simple Analytics and Go remarkably fast. Free for developers.
Popular Simple Analytics 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 Simple Analytics#
The Simple Analytics API offers streamlined access to your website analytics data. Pipedream's integration allows you to automate actions based on this data, like triggering events when specific metrics change or combining analytics with other data sources for richer insights. By creating workflows on Pipedream, you can harness the power of Simple Analytics to monitor site performance, understand user behavior, and improve decision-making processes.
Connect Simple Analytics#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
simple_analytics: {
type: "app",
app: "simple_analytics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://simpleanalytics.com/api/websites`,
headers: {
"Content-Type": `application/json`,
"Api-Key": `${this.simple_analytics.$auth.api_key}`,
"User-Id": `${this.simple_analytics.$auth.user_id}`,
},
})
},
})
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)
}