Cut chat in half. Threads is a Slack replacement designed for makers.
Create a new document in a collection of your choice. See the docs here
Post a message to a chat. First, make sure you add your Bot user to the chat. See the Documentation
The Threads API on Pipedream enables you to automate your team's communication in Threads.com, a platform designed to make work discussions more organized and accessible. By integrating the API with Pipedream, you can create workflows to streamline notifications, manage discussions, and sync information across multiple services without writing complex code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
threads: {
type: "app",
app: "threads",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://trythreads.com/api/public/ping`,
headers: {
Authorization: `Bearer ${this.threads.$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()
},
})