Lightweight text analysis framework.
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 TXT Werk API specializes in advanced natural language processing, providing tools for text analysis such as entity recognition, sentiment analysis, and keyword extraction. Integrating TXT Werk with Pipedream allows users to automate workflows involving text data enrichment and analysis, transforming unstructured text into actionable insights. This integration can enhance applications in content moderation, market research, and customer feedback analysis by automatically processing text data from various sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
txt_werk: {
type: "app",
app: "txt_werk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.txtwerk.de/rest/txt/analyzer`,
headers: {
"X-Api-Key": `${this.txt_werk.$auth.api_key}`,
},
params: {
text: `Pipedream is an integration platform for developers.`,
services: `categories`,
},
})
},
})
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);
},
});