Get, create, update, and delete content, spaces, and more.
Emit new event whenever a new page or blog post is created in a specified space
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
Creates a new page or blog post on Confluence. See the documentation
Removes a blog post from Confluence by its ID. Use with caution, the action is irreversible. See the documentation
The Confluence API allows you to harness the collaborative power of Confluence programmatically. With it, you can automate content creation, update pages, manage spaces, and extract data for reporting or integration with other tools. Leveraging this API within Pipedream enables streamlined workflows that can react to events or schedule tasks, interacting with Confluence data and connecting to an array of other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
confluence: {
type: "app",
app: "confluence",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.atlassian.com/me`,
headers: {
Authorization: `Bearer ${this.confluence.$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);
},
})