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Interzoid

AI & ML-based Data Engineering in the Cloud for better data - Connect to Cloud database tables, CSVs, etc with data workloads running entirely in the Cloud.

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MongoDB

Integrate the Interzoid API with the MongoDB API

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

Popular Ways to Connect Interzoid with MongoDB

Generate Match Report with Interzoid API on New Collection from MongoDB API
MongoDB + Interzoid
 
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Generate Match Report with Interzoid API on New Database from MongoDB API
MongoDB + Interzoid
 
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Generate Match Report with Interzoid API on New Document from MongoDB API
MongoDB + Interzoid
 
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Generate Match Report with Interzoid API on New Field in Document from MongoDB API
MongoDB + Interzoid
 
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Get Full Name Match Score with Interzoid API on New Collection from MongoDB API
MongoDB + Interzoid
 
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Popular Interzoid and MongoDB Triggers

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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New Field in Document from the MongoDB API

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

 
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Popular Interzoid and MongoDB Actions

Generate Match Report with the Interzoid API

Generate a Match Report using a dataset table or file (CSV/TSV/Excel). 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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Get Full Name Match Score with the Interzoid API

Retrieve a match score (likelihood of matching) between two individual names on a scale of 0-100. 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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Get Organization Match Score with the Interzoid API

Retrieve a match score (likelihood of matching) from 0-100 between two organization names. See the documentation

 
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Overview of Interzoid

The Interzoid API offers a plethora of data-driven APIs that enable you to enrich, standardize, and deduplicate data across various fields such as demographics, financials, and text. With these capabilities, you can enhance data quality, drive better analytics, and create more intelligent workflows and applications. In Pipedream, you can integrate these APIs into serverless workflows, triggering actions based on various events, manipulating and routing data to other apps, services, or data stores with ease.

Connect Interzoid

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    interzoid: {
      type: "app",
      app: "interzoid",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.interzoid.com/getremainingcredits`,
      params: {
        license: `${this.interzoid.$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

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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()
  },
})
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