The RESTful Pokémon API
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 PokéAPI API offers a treasure trove of data for Pokémon enthusiasts, providing detailed information on Pokémon species, abilities, moves, and much more. Leveraging this API within Pipedream allows you to craft creative automations that can engage fans, enhance gaming experiences, and organize Pokémon data efficiently. With the serverless platform that Pipedream provides, you can set up event-driven workflows, connect to a myriad of other services, and automate tasks that respond in real-time to changes in the PokéAPI data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pokeapi: {
type: "app",
app: "pokeapi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://pokeapi.co/api/v2/pokemon/ditto`,
})
},
})
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()
},
})