What do you want to automate
with nocodb and Go?
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Popular nocodb and Go Triggers#
Emit new event for each new record in table. See the documentation
Emit new event for each new record in a view. See the documentation
Emit new event for each update in table. See the documentation
Popular nocodb 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.
This action gets a row by row Id. See the documentation
This action lists all rows in a table. See the documentation
Overview of nocodb#
The NoCodeB (NocoDB) API transforms your databases into a smart Excel sheet, providing a platform for managing your data with the ease of a spreadsheet interface. When combined with Pipedream's capabilities, this API allows you to automate data operations, sync with other databases or apps, and streamline workflows without writing complex code. Using Pipedream, you can trigger events based on changes in your NocoDB, process and manipulate the data, and connect to countless apps to extend functionality, such as sending notifications, updating CRMs, or generating reports.
Connect nocodb#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nocodb: {
type: "app",
app: "nocodb",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.nocodb.$auth.domain}/api/v1/db/meta/nocodb/info`,
headers: {
"accept": `application/json`,
"xc-token": `${this.nocodb.$auth.api_key}`,
},
})
},
})
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