Trustpilot (Customer)
Read reviews. Write reviews. Find companies you can trust.
Integrate the Trustpilot (Customer) API with the Go API
Setup the Trustpilot (Customer) API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Trustpilot (Customer) and Go remarkably fast. Free for developers.
Popular Trustpilot (Customer) 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 Trustpilot (Customer)#
The Trustpilot (Customer) API lets you tap into the rich pool of customer review data on Trustpilot. You can use it to automate the process of collecting and managing reviews, responding to feedback, and analyzing customer sentiment. With Pipedream's integration, you can trigger workflows based on new reviews, aggregate review data for analysis, and sync Trustpilot data with other services like CRMs, support tickets, and marketing tools.
Connect Trustpilot (Customer)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trustpilot: {
type: "app",
app: "trustpilot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://invitations-api.trustpilot.com/v1/private/business-units/${this.trustpilot.$auth.business_unit_id}/templates`,
headers: {
Authorization: `Bearer ${this.trustpilot.$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)
}