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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
The Lahar API enables users to automate and integrate their marketing efforts, facilitating lead management, email campaigns, and analytics. On Pipedream, you can leverage these capabilities to build serverless workflows that respond to events in real-time, sync data across various platforms, and create custom marketing automations without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lahar: {
type: "app",
app: "lahar",
}
},
async run({steps, $}) {
const data = {
"token_api_lahar": `${this.lahar.$auth.api_token}`,
"email_contato": `{email_address}`,
"estagio_lead": `1`,
}
return await axios($, {
method: "put",
url: `https://app.lahar.com.br/api/leads`,
headers: {
"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()
},
})