Data-Driven Marketing
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 Zeta (Boomtrain) API offers a suite of tools designed for predictive marketing and analytics. By leveraging machine learning and data science, it can help personalize user experiences and optimize marketing efforts. With this API on Pipedream, you can automate customer segmentation, execute targeted campaigns, and analyze customer behavior. The API's capabilities can be harnessed to create dynamic, responsive marketing workflows that react to user interactions in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
boomtrain: {
type: "app",
app: "boomtrain",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://events.api.boomtrain.com/events/recent/${this.boomtrain.$auth.site_id}`,
headers: {
Authorization: `Bearer ${this.boomtrain.$auth.id_token}`,
},
params: {
count: `10`,
},
})
},
})
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()
},
})