Integrate the MongoDB API with the MonkeyLearn API

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

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Popular Ways to Connect MongoDB with MonkeyLearn#

Classify Text with MonkeyLearn API on New Collection from MongoDB API

MongoDB + MonkeyLearn

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Classify Text with MonkeyLearn API on New Database from MongoDB API

MongoDB + MonkeyLearn

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Classify Text with MonkeyLearn API on New Document from MongoDB API

MongoDB + MonkeyLearn

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Classify Text with MonkeyLearn API on New Field in Document from MongoDB API

MongoDB + MonkeyLearn

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Extract Text with MonkeyLearn API on New Collection from MongoDB API

MongoDB + MonkeyLearn

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Popular MongoDB and MonkeyLearn 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 MongoDB and MonkeyLearn Actions#

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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Classify Text with the MonkeyLearn API

Classifies texts with a given classifier. See the docs here

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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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Extract Text with the MonkeyLearn API

Extracts information from texts with a given extractor. 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 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()
  },
})

Overview of MonkeyLearn#

MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.

Connect MonkeyLearn#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    monkeylearn: {
      type: "app",
      app: "monkeylearn",
    }
  },
  async run({steps, $}) {
    const data = {
      "data": [
        "This is a great tool!",
      ]
    }
    
    return await axios($, {
      method: "post",
      url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
      headers: {
        "Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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