API for Automated Image and Video Generation
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
Create an image using template and modifications. See the docs
Bannerbear is an automated image and video generation service that allows you to create custom visuals with dynamic data. Using the Bannerbear API, you can programmatically generate images and videos for social media posts, e-commerce product images, personalized email marketing visuals, and more, all tailored to your brand's aesthetic and updated in real time with the latest information.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bannerbear: {
type: "app",
app: "bannerbear",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bannerbear.com/v2/account`,
headers: {
Authorization: `Bearer ${this.bannerbear.$auth.api_key}`,
},
})
},
})
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);
},
})