Stock Scanner and APIs for intraday and end of day stock data, options and news.
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 Mboum API offers rich financial data, including real-time stock quotes, financial statements, and market analysis. On Pipedream, this translates into the ability to craft workflows that can automate tasks for investors, analysts, and fintech applications. For instance, you can trigger actions based on stock price changes, compile financial reports, or integrate with other services to enrich financial datasets.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mboum: {
type: "app",
app: "mboum",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://mboum.com/api/v1/tr/trending`,
headers: {
"X-Mboum-Secret": `${this.mboum.$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()
},
})