Revenue Attribution For Marketing Teams
Sends an event to the Cometly API. [See the documentation]https://developers.cometly.com/#endpoint-advanced-method)
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 Cometly API allows you to track ad performance and automate the analysis and optimization of advertising campaigns. With Pipedream, you can create serverless workflows that interact with the Cometly API to streamline campaign management tasks, such as retrieving campaign metrics, updating ad spend, and generating performance reports. Using Cometly in conjunction with Pipedream’s robust integration capabilities, you can connect to numerous other services to enrich your ads data, automate actions based on performance thresholds, and synchronize your marketing efforts across platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cometly: {
type: "app",
app: "cometly",
}
},
async run({steps, $}) {
const data = {
"event_name": `developer`,
"email": `sergio@pipekit.pro`,
"comet_token": `ddffd8d8338383883838484843838388d8dfaf`,
"ip": `123.123.123.123`,
"event_time": `test`,
}
return await axios($, {
method: "post",
url: `https://app.cometly.com/public-api/v1/events`,
headers: {
Authorization: `Bearer ${this.cometly.$auth.api_token}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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()
},
})