MongoDB

The global cloud database service for modern applications

Integrate the MongoDB API with the Python API

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

Run Python Code with Python API on New Collection from MongoDB API
MongoDB + Python
 
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Run Python Code with Python API on New Database from MongoDB API
MongoDB + Python
 
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Run Python Code with Python API on New Document from MongoDB API
MongoDB + Python
 
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Run Python Code with Python API on New Field in Document from MongoDB API
MongoDB + Python
 
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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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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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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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Overview of MongoDB

Assuming you want a few paragraph about the MongoDB API:

MongoDB offers a powerful API that allows developers to interact with their
databases in a variety of ways. The API provides methods for performing
standard CRUD (create, read, update, delete) operations, as well as more
specialized methods like bulk write operations and aggregate queries. MongoDB
also offers a rich set of indexing options that allow developers to optimize
their queries for maximum performance. With the MongoDB API, developers can
build a wide variety of applications, from simple data-driven apps to complex
event-driven systems.

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()
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}