AI-powered no-code platform. Empowering data enthusiasts with AI magic! š No-code platform for effortless data workflows. Extract, transform, and conquer! šš #DataNinja
Emit new event when you add a new column to a table. See the docs here
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
Triggers a Kadoa workflow using Pipedream. See the documentation
The Kadoa API enables automation and integration of Kadoa's time tracking and project management features. With it, you can manage projects, tasks, time entries, and extract reports programmatically. When combined with Pipedream's ability to connect to hundreds of other services and create complex workflows, the potential for increased efficiency and data connectivity is significant. You can trigger workflows on Pipedream with HTTP requests, schedule them, or even run them in response to emails, among other methods.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kadoa: {
type: "app",
app: "kadoa",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.kadoa.com/v2/controller/overview`,
headers: {
"x-api-key": `${this.kadoa.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operationsācreate, read, update, deleteāon 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);
},
});