Integrate the Orca Scan API with the MongoDB API

Setup the Orca Scan API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate Orca Scan and MongoDB remarkably fast. Free for developers.

Popular Ways to Connect Orca Scan with MongoDB#

Add or Update Row with Orca Scan API on New Collection from MongoDB API

MongoDB + Orca Scan

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Add or Update Row with Orca Scan API on New Database from MongoDB API

MongoDB + Orca Scan

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Add or Update Row with Orca Scan API on New Document from MongoDB API

MongoDB + Orca Scan

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Add or Update Row with Orca Scan API on New Field in Document from MongoDB API

MongoDB + Orca Scan

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Create New Document with MongoDB API on New Row in Orca Scan Sheet from Orca Scan API

Orca Scan + MongoDB

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Popular Orca Scan and MongoDB Triggers#

New Row in Orca Scan Sheet from the Orca Scan API

Emit new event when a new row is created in an Orca Scan sheet. See the documentation

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New Sheet Created from the Orca Scan API

Emit new event when a new sheet is created in Orca Scan. See the documentation

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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

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Popular Orca Scan and MongoDB Actions#

Add or Update Row with the Orca Scan API

Adds a new row or updates an existing row in a sheet. See the documentation

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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Find Row with the Orca Scan API

Locates a row record based on a given barcode. If no barcode is provided, return all rows. See the documentation

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Overview of Orca Scan#

The Orca Scan API is a gateway to integrate barcode scanning and inventory management capabilities into various workflows. By leveraging the API, you can automate data collection, streamline inventory tracking, and sync your barcode scanning data with other systems. When used on Pipedream, you can merge Orca Scan functionalities with countless other apps, creating custom automation rules, processing data, and managing inventory in real-time. Ideal for inventory management, asset tracking, and data collection automation, the Orca Scan API is a tool that can adapt to a myriad of business needs.

Connect Orca Scan#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    orca_scan: {
      type: "app",
      app: "orca_scan",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.orcascan.com/v1/sheets`,
      headers: {
        Authorization: `Bearer ${this.orca_scan.$auth.api_key}`,
      },
    })
  },
})

Overview of MongoDB#

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.

Connect MongoDB#

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()
  },
})