Upload & share your videos to make money online.
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 StreamWish API lets you connect and automate actions related to streaming services. With Pipedream, you can create workflows that trigger on specific events or schedules and use the StreamWish API to manage wishlists, alert viewers to new content, or aggregate streaming service data. By integrating the StreamWish API into Pipedream, you can design custom automations that enhance viewer engagement and streamline the content discovery process.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
streamwish: {
type: "app",
app: "streamwish",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.streamwish.com/api/account/info`,
params: {
key: `${this.streamwish.$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()
},
})