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Nasdaq Data Link (Time Series and Table data)

Nasdaq Data Link is a powerful, centralized, cloud-based technology platform providing access to more than 250 trusted data sets, available via API. Search, discover and build.

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MongoDB

Integrate the Nasdaq Data Link (Time Series and Table data) API with the MongoDB API

Setup the Nasdaq Data Link (Time Series and Table data) API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate Nasdaq Data Link (Time Series and Table data) and MongoDB remarkably fast. Free for developers.

Popular Nasdaq Data Link (Time Series and Table data) 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 Nasdaq Data Link (Time Series and Table data) and MongoDB 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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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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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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Search Documents with the MongoDB API

Search for specific documents or return all documents. See the docs here

 
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Update a Document with the MongoDB API

Updates a single document by ID. See the docs here

 
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Overview of Nasdaq Data Link (Time Series and Table data)

The Nasdaq Data Link API provides access to financial, economic, and alternative data that powers investment decisions, research, and more. Within Pipedream, you can use this API to automate workflows involving time series and table data. This might include fetching stock prices, economic indicators, or data for quantitative analysis. By creating workflows that trigger on schedules or events, you can efficiently process and act upon this data. Combine it with other apps to gain insights, notify stakeholders, or integrate with your databases.

Connect Nasdaq Data Link (Time Series and Table data)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nasdaq_data_link_time_series_and_table_data_: {
      type: "app",
      app: "nasdaq_data_link_time_series_and_table_data_",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://data.nasdaq.com/api/v3/datatables/ETFG/FUND.json`,
      params: {
        api_key: `${this.nasdaq_data_link_time_series_and_table_data_.$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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