Email Marketing and SMS Marketing Platform
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
The Klaviyo API grants you the power to automate and personalize your email marketing efforts. With it, you can manage lists, profiles, and campaigns, track event-driven communications, and analyze the results. By leveraging this API on Pipedream, you can create intricate, automated workflows that respond in real-time to your users' behavior, sync data across multiple platforms, and tailor your marketing strategies to improve engagement and conversion rates.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
klaviyo: {
type: "app",
app: "klaviyo",
}
},
async run({steps, $}) {
return await axios($, {
url: ` https://a.klaviyo.com/api/accounts/`,
headers: {
"Authorization": `Klaviyo-API-Key ${this.klaviyo.$auth.api_key}`,
"revision": `2023-12-15`,
},
})
},
})
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);
},
})