With SeaTable, teams can easily organize all their tasks, assets, projects and ideas. It looks like a spreadsheet but structures any type of information, in the cloud or on your own server.
Create a new document in a collection of your choice. See the docs here
Deletes a specific row from a specified table. See the documentation
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The SeaTable API allows you to interact programmatically with SeaTable databases. With it, you can create, update, and delete records, rows, and columns, manipulate tables, and manage users. In Pipedream, you can harness this API to automate data flows between SeaTable and other apps, trigger workflows based on changes in your SeaTable bases, and manipulate data without manual intervention. Think of it as connecting your spreadsheets' data to the wider web.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
seatable: {
type: "app",
app: "seatable",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://cloud.seatable.io/api2/account/info/`,
headers: {
Authorization: `Bearer ${this.seatable.$auth.account_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()
},
})