Actionable Trading Ideas & Real Time 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 Benzinga API provides access to a suite of financial market data including stock quotes, news, and analysis that could be potent for traders, financial analysts, and apps needing real-time information. With Pipedream’s serverless platform, you can build dynamic automations around this data. You might set up workflows that react to market changes, enrich CRM leads with financial insights, or automate news alerts for specific stock movements.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
benzinga: {
type: "app",
app: "benzinga",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.benzinga.com/api/v2/news`,
headers: {
"accept": `application/json`,
},
params: {
token: `${this.benzinga.$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()
},
})