Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.
Emit new event each time a comment is added to a spreadsheet.
Emit new event each time a row or rows are added to the bottom of a spreadsheet.
Emit new event each time a row or cell is updated in a spreadsheet.
Emit new event each time a new worksheet is created in a spreadsheet.
Add a single row of data to Google Sheets. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Add multiple rows of data to a Google Sheet. See the documentation
Get all values or values from a range of cells using A1 notation. See the documentation
Delete the content of a specific cell in a spreadsheet. See the documentation
The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_sheets: {
type: "app",
app: "google_sheets",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_sheets.$auth.oauth_access_token}`,
},
})
},
})
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.
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)
}