Allowing marketers to create dynamic and personalized content for your email campaigns.
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 NiftyImages API allows for the dynamic creation and customization of images for email marketing campaigns. By automating image personalization, users can create unique, engaging visuals that resonate with each recipient. It's possible to insert text into images, generate countdown timers, and manipulate image URLs on the fly, enhancing the visual appeal and relevance of marketing messages.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
niftyimages: {
type: "app",
app: "niftyimages",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.niftyimages.com/v1/Widgets`,
headers: {
"ApiKey": `${this.niftyimages.$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()
},
})