RESTFUL APIs FOR SPORTS DATA | FOOTBALL | BASKETBALL | BASEBALL | HOCKEY | RUGBY | FORMULA-1 | HANDBALL | VOLLEYBALL
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 API Sports API is a robust data source offering detailed information on numerous sports, leagues, teams, and players. It provides real-time scores, stats, standings, and historical data, making it a treasure trove for sports enthusiasts, fantasy league managers, and sports analysts. On Pipedream, you can leverage this API to create serverless workflows that respond to various sports events and data updates. Combine it with other apps to craft automated processes, notifications, and data analysis pipelines that enrich your application or feed your sports data obsession.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
api_sports: {
type: "app",
app: "api_sports",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.api_sports.$auth.api_name}.api-sports.io/countries`,
headers: {
"x-apisports-key": `${this.api_sports.$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()
},
})