Create spreadsheets your teams can easily collaborate on for free. Powered with an automated data processor, an AI-assisted data analyst, and 1000+ integration possibilities, Zoho Sheet makes data handling easier and more effective.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Zoho Sheet API allows you to manipulate spreadsheet data programmatically. Imagine harnessing this functionality within Pipedream's ecosystem, where you can automate data flows, sync information across platforms, and generate reports with ease. With Pipedream, you can trigger workflows using events from numerous apps, fetch or push data to Zoho Sheet, analyze or transform this data, and even automate notifications based on the results.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_sheet: {
type: "app",
app: "zoho_sheet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://sheet.${this.zoho_sheet.$auth.base_api_uri}/api/v2/workbooks`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_sheet.$auth.oauth_access_token}`,
},
params: {
method: `workbook.list`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});