Real time data provider syndicating scores, stats, odds, projections, news & images
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
SportsData API serves up real-time and historical sports data including scores, odds, projections, stats, and news across a variety of sports leagues. By leveraging Pipedream, you can create custom workflows that respond to this data in real-time, integrating with a multitude of other services to automate notifications, data analysis, and content creation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sportsdata: {
type: "app",
app: "sportsdata",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.sportsdata.io/v3/cbb/scores/json/AreAnyGamesInProgress`,
params: {
key: `${this.sportsdata.$auth.api_key}`,
},
})
},
})
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()
},
})