An all-in-one solution for software and operations to help you manage your D2C brand throughout fulfillment and beyond.
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
Create an action for given workspace See the documentation
The Hive API allows for robust interaction with Hive's project and team management tools. By leveraging the Hive API within Pipedream, you can automate tasks, sync data across platforms, and create custom workflows that enhance productivity. For instance, you could automate project creation, update task statuses, or sync information to other business tools. Pipedream's serverless platform simplifies integration, enabling you to focus on crafting workflows without worrying about infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hive: {
type: "app",
app: "hive",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.hive.com/api/v1/users`,
params: {
api_key: `${this.hive.$auth.api_key}`,
user_id: `${this.hive.$auth.user_id}`,
},
})
},
})
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);
},
})