L3MBDA automates your Web3 Actions, DeFi Research, Smart Contract Monitoring, and much more.
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 l3mbda API provides a platform to run JavaScript functions in the cloud, allowing you to execute code without setting up servers. On Pipedream, you can leverage the l3mbda API to create dynamic, serverless workflows. This enables you to run custom JavaScript functions as part of an automated process, integrate with other APIs, manipulate data, and respond to webhooks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
l3mbda: {
type: "app",
app: "l3mbda",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://clerk.l3mbda.com/oauth/userinfo`,
headers: {
Authorization: `Bearer ${this.l3mbda.$auth.oauth_access_token}`,
},
})
},
})
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()
},
})