Chatbot platform that CAPTIVATES Your Visitors with SMART Contextual Responses to Their Inquiries.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the documentation
The Chatbotic API enables the creation and integration of chatbots with various platforms. With this API, you can automate conversations, craft responses based on user input, and manage bot interactions efficiently. When combined with Pipedream's capabilities, you can set up serverless workflows to trigger actions in other apps based on conversations, analyze chat data, and connect your chatbot with a vast array of services to enhance its functionality.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatbotic: {
type: "app",
app: "chatbotic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://chatbotapi.is-for.us/api/getLeadsnew`,
params: {
"api_key ": `${this.chatbotic.$auth.access_token}`,
},
})
},
})
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);
},
})