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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
SparkPost API allows you to send and track emails with precision and scale. Using this API on Pipedream, you can automate email operations, integrate with other services, and analyze email performance. With Pipedream’s serverless platform, you can create workflows that trigger on specific events, process data, and perform actions in response to the insights collected from SparkPost or other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sparkpost: {
type: "app",
app: "sparkpost",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.sparkpost.$auth.domain}.sparkpost.com/api/v1/account?include=usage`,
headers: {
"Content-Type": `application/json`,
"Authorization": `${this.sparkpost.$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()
},
})