Create or join a NFL league and manage your team with live scoring, stats, scouting reports, news, and expert advice
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 Yahoo! Fantasy Sports API opens a realm of possibilities for sports enthusiasts and developers, allowing them to tap into fantasy leagues, player stats, and real-time scoring. Leverage this data source within Pipedream to automate team management, notifications, and data analysis. You can create dynamic workflows that react to league updates, automate team roster changes, or aggregate statistics for insightful analytics, all with real-time triggers and seamless integrations with hundreds of apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
yahoo_fantasy_sports: {
type: "app",
app: "yahoo_fantasy_sports",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.login.yahoo.com/openid/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.yahoo_fantasy_sports.$auth.oauth_access_token}`,
},
})
},
})
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()
},
})