New York Times

The New York Times is an American daily newspaper which features top articles across many sections, including politics, technology, and opinion.

Integrate the New York Times API with the MongoDB API

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

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Create New Document with MongoDB API on New Article Published from New York Times API
New York Times + MongoDB
 
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Delete a Document with MongoDB API on New Article Published from New York Times API
New York Times + MongoDB
 
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Execute Aggregation with MongoDB API on New Article Published from New York Times API
New York Times + MongoDB
 
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Find Document by Id with MongoDB API on New Article Published from New York Times API
New York Times + MongoDB
 
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Find Document with MongoDB API on New Article Published from New York Times API
New York Times + MongoDB
 
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New Article Published from the New York Times API

Emit new event when an article is published.

 
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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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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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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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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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Find Document with the MongoDB API

Finds a document by a query filter. See the documentation

 
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Find Document by Id with the MongoDB API

Retrieves a single document by ID. See the docs here

 
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Overview of New York Times

The New York Times API offers a variety of endpoints to access different types of news and information. With Pipedream, you can tap into this wealth of data to automate tasks, enrich applications with the latest news, or even analyze trends. Workflows on Pipedream triggered by NYT's API can range from sending daily news briefings to your communication platform, to analyzing article metadata for SEO research, or even keeping track of the most popular stories for content curation.

Connect New York Times

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    new_york_times: {
      type: "app",
      app: "new_york_times",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.nytimes.com/svc/topstories/v2/arts.json`,
      params: {
        "api-key": `${this.new_york_times.$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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LinkedIn logo
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