with SuperSaaS and Microsoft Azure SQL Database?
Emits an event for every user credit balance changes for the selected schedules.
Emits an event for every changed appointments from the selected schedules.
Triggers when a new row is added or an existing row is updated.
Executes a SQL query and returns the results. See the documentation
Inserts a new row in a table. See the documentation
The SuperSaaS API unlocks the power to automate and streamline your appointment scheduling processes. This tool is tailored for businesses and individuals who manage bookings, reservations, or rentals. By leveraging the API with Pipedream's integration capabilities, you can craft custom workflows that handle everything from syncing appointment data with your calendar, sending customized notifications, to processing payments or follow-ups based on booking activities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
supersaas: {
type: "app",
app: "supersaas",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.supersaas.com/api/schedules.json`,
params: {
account: `${this.supersaas.$auth.account}`,
api_key: `${this.supersaas.$auth.api_key}`,
},
})
},
})
The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.
import azure_sql from '@pipedream/azure_sql';
export default defineComponent({
props: {
azure_sql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/azure_sql
const queryObj = {
query: "SELECT GETDATE()",
values: [],
};
return await this.azure_sql.executeQuery(queryObj);
},
});