Find millions of products online by searching their barcode.
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 Barcode Lookup API allows you to get product data by scanning or inputting the barcode number. With this API on Pipedream, you can automate tasks involving product information retrieval, inventory management, price comparison, and more. Since Pipedream seamlessly integrates with numerous apps, you can connect the Barcode Lookup with other services to streamline various workflows, saving time and reducing manual effort.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
barcode_lookup: {
type: "app",
app: "barcode_lookup",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.barcodelookup.com/v3/products`,
params: {
key: `${this.barcode_lookup.$auth.api_key}`,
barcode: `077341125112`,
},
})
},
})
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()
},
})