Listen, analyse and convert feedback data into actionable insights that drive satisfaction, retention and quantifiable business results.
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 Feedier API lets you harness the power of customer feedback by automating the collection and analysis process. With this API, you can create, retrieve, update, and delete feedback, along with managing carriers and rewards. It enables you to streamline the feedback loop, integrate with your CRM, and trigger actions based on customer responses. Pipedream's serverless platform opens up a world of possibilities for integrating Feedier with hundreds of other apps to automate workflows, analyze data, and respond in real-time to customer insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
feedier: {
type: "app",
app: "feedier",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.feedier.com/v1/carriers`,
headers: {
Authorization: `Bearer ${this.feedier.$auth.api_private_key}`,
"Accept": `application/json`,
"Cache-Control": `no-cache`,
},
})
},
})
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);
},
});