BART (Bay Area Rapid Transit) provides train service throughout the San Francisco Bay Area.
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. 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`,
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})