Make something useful with data from the Norwegian Meteorological Institute
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 Yr API provides meteorological data, allowing you to access weather forecasts, historical data, and various meteorological elements for locations worldwide. On Pipedream, you can leverage this data in serverless workflows, creating custom automations that react to weather changes, integrate with other services, or provide timely weather updates.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
yr: {
type: "app",
app: "yr",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.met.no/weatherapi/locationforecast/2.0/compact`,
headers: {
"User-Agent": `pipedream.com`,
},
params: {
lat: `51.5`,
lon: `0`,
},
})
},
})
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()
},
})