Retail POS Software
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
Finds a row in a table via a custom query. See the documentation
The Vend API offers programmatic access to retail management features, enabling users to automate processes related to inventory, sales, products, customers, and more within their retail business. Through Pipedream, you can harness this API to create custom workflows that trigger on various events within Vend, process data, integrate with other apps, and automate actions to streamline retail operations, enhance customer engagement, and optimize sales strategies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vend: {
type: "app",
app: "vend",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.vend.$auth.domain_prefix}.vendhq.com/api/2.0/security_events`,
headers: {
Authorization: `Bearer ${this.vend.$auth.oauth_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);
},
})