with PostgreSQL and Trustpilot (Customer)?
Emit new event when a new conversation is started on Trustpilot. This source periodically polls the Trustpilot API to detect new customer-business conversations. Each event contains conversation details including participants, subject, business unit, and creation timestamp. Useful for tracking customer inquiries, support requests, and maintaining real-time communication with customers.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a business replies to a product review on Trustpilot. This source periodically polls the Trustpilot API to detect new replies to product reviews. Each event includes the reply text, creation timestamp, and associated review details (product name, star rating, consumer info). Ideal for monitoring business responses to customer feedback, tracking customer service performance, and ensuring timely engagement with product reviews.
Emit new event when a row is added or modified. See the documentation
Emit new event when a customer posts a new product review on Trustpilot. This source periodically polls the Trustpilot API to detect new product reviews. Each event contains the complete review data including star rating, review text, product information, consumer details, and timestamps. Perfect for monitoring product feedback, analyzing customer satisfaction trends, and triggering automated responses or alerts for specific products.
Retrieves detailed information about a specific product review on Trustpilot. Use this action to get comprehensive data about a single product review, including customer feedback, star rating, review text, and metadata. Perfect for analyzing individual customer experiences, responding to specific feedback, or integrating review data into your customer service workflows. See the documentation
Retrieves a list of product reviews for a specific business unit on Trustpilot. This action enables you to fetch multiple product reviews with powerful filtering options including star ratings, language, tags, and sorting preferences. Ideal for monitoring product feedback trends, generating reports, analyzing customer sentiment across your product catalog, or building review dashboards. Supports pagination for handling large review volumes. See the documentation
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})
The Trustpilot (Customer) API lets you tap into the rich pool of customer review data on Trustpilot. You can use it to automate the process of collecting and managing reviews, responding to feedback, and analyzing customer sentiment. With Pipedream's integration, you can trigger workflows based on new reviews, aggregate review data for analysis, and sync Trustpilot data with other services like CRMs, support tickets, and marketing tools.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trustpilot: {
type: "app",
app: "trustpilot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://invitations-api.trustpilot.com/v1/private/business-units/${this.trustpilot.$auth.business_unit_id}/templates`,
headers: {
Authorization: `Bearer ${this.trustpilot.$auth.oauth_access_token}`,
},
})
},
})