Automate Document Workflows
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 Nano Nets API offers machine learning capabilities to classify images, extract data, and automate processes with custom models. Through Pipedream's serverless platform, you can trigger workflows from various events, manipulate and route data from the Nano Nets API, and connect it to hundreds of other apps to automate complex tasks. Pipedream's built-in code steps also allow you to transform data, make HTTP requests, and handle logic right inside your workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nano_nets: {
type: "app",
app: "nano_nets",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.nanonets.com/api/v2/OCR/Model/{your_model_id_here}`,
auth: {
username: `${this.nano_nets.$auth.api_key}`,
password: ``,
},
})
},
})
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);
},
});