BART (Bay Area Rapid Transit) provides train service throughout the San Francisco Bay Area.
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
Finds a row in a table via a custom query. See the documentation
The BART API provides real-time data about the Bay Area Rapid Transit system, including schedules, advisories, and station information. Using Pipedream, developers can craft serverless workflows that react to BART data and integrate with countless apps to automate transit-related tasks, enrich apps with transit data, and enhance user experiences with up-to-the-minute BART information.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bart: {
type: "app",
app: "bart",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bart.gov/api/version.aspx?key=${this.bart.$auth.api_key}&json=y`,
})
},
})
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);
},
})