What do you want to automate
with Thinkific and Go?
Prompt, edit and deploy AI agents that connect to Thinkific, Go and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Thinkific and Go Triggers#
Popular Thinkific 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.
Creates a new Enrollment for specified student in specified course. See the documentation
Updates the information of a specific user on Thinkific. See the documentation
Overview of Thinkific#
Thinkific's API opens a treasure trove of possibilities for automating and enhancing the e-learning experience. It provides programmatic access to your Thinkific site, allowing you to manage courses, users, enrollments, and more. With Pipedream's serverless platform, you can connect Thinkific to a multitude of other applications, automate tasks, sync data across various services, and trigger workflows based on specific events, all without writing a line of server code.
Connect Thinkific#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
thinkific: {
type: "app",
app: "thinkific",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.thinkific.com/api/public/v1/courses`,
headers: {
"X-Auth-API-Key": `${this.thinkific.$auth.api_key}`,
"X-Auth-Subdomain": `${this.thinkific.$auth.subdomain}`,
"Content-Type": `application/json`,
},
})
},
})
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies