Forms as flexible as code. We help product teams build best-in-class forms.
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
Feathery is a powerful form builder designed to create polished, dynamic forms with ease. With the Feathery API, you can automate form submissions, synchronize data across platforms, and trigger custom workflows based on user interactions. This seamless integration on Pipedream lets you bridge Feathery forms with countless other services to streamline data collection, lead capture, and user surveys, enhancing the overall efficiency of data-driven processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
feathery: {
type: "app",
app: "feathery",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.feathery.io/api/user/`,
headers: {
"Token": `${this.feathery.$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()
},
})