Use Google Docs to create, edit and collaborate on online documents.
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
Create a new, empty document. To add content after creating the document, pass the document ID exported by this step to the Append Text action. See the docs
Appends an image to the end of a document. See the docs
The Google Docs API allows you to create, read, and update Google Docs programmatically, enabling a wide range of automations and integrations with other apps and services. With Pipedream, you can harness this API to craft custom serverless workflows that trigger on various events, like form submissions, emails, or scheduled times, and perform actions like updating a document, extracting content, or even generating templated reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_docs: {
type: "app",
app: "google_docs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_docs.$auth.oauth_access_token}`,
},
})
},
})
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);
},
});