An adaptable text analytics and discovery platform.
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 Rosette Text Analytics API brings advanced language processing to the table, allowing you to extract entities, relationships, and sentiment from text. With Pipedream, you can integrate this powerful text analysis into your workflows, triggering actions based on the insights extracted from documents, social media posts, customer feedback, and more. You can use it to enrich CRM data, automate content moderation, or even drive market research by sentiment analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rosette_text_analytics: {
type: "app",
app: "rosette_text_analytics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rosette.com/rest/v1/ping`,
headers: {
"X-RosetteAPI-Key": `${this.rosette_text_analytics.$auth.api_key}`,
},
})
},
})
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);
},
});