Stock Data Real-Time, Intraday & Historical Market Data API
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 Marketstack API provides access to real-time, intraday, and historical stock prices from various global stock exchanges. In Pipedream, you can harness this data to create powerful workflows: trigger actions based on stock price movements, log data for analysis, or integrate with other financial services. It's a tool for financial analysts, investors, and anyone needing stock market data for their applications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
marketstack: {
type: "app",
app: "marketstack",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.marketstack.com/v1/tickers`,
params: {
access_key: `${this.marketstack.$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()
},
})