Service for managing a reading list of articles and videos
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
Save articles, videos, images and URLs to your Pocket list. See docs here
Pocket's API on Pipedream allows for the automation of content curation workflows. Users can add, retrieve, and organize articles, videos, or other content they want to view later. By leveraging the API, you can create systems for tagging and sorting saved items, integrating them with other services for further processing or sharing. This could be useful for content creators, researchers, or anyone needing to manage a large influx of information efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pocket: {
type: "app",
app: "pocket",
}
},
async run({steps, $}) {
const pocketReq = {
method: "post",
url: "/v3/get",
data: {
count: 10,
access_token: this.pocket.$auth.oauth_access_token,
},
}
// proxy pocket request
return await axios($, {
url: "https://enkogw2a5epb176.m.pipedream.net",
params: {
http_respond: 1,
},
data: pocketReq,
})
},
})
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()
},
})