Integrate the Shadertoy API with the MongoDB API

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

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Popular Ways to Connect Shadertoy with MongoDB#

Access Shader Assets with Shadertoy API on New Collection from MongoDB API

MongoDB + Shadertoy

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Access Shader Assets with Shadertoy API on New Database from MongoDB API

MongoDB + Shadertoy

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Access Shader Assets with Shadertoy API on New Document from MongoDB API

MongoDB + Shadertoy

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Access Shader Assets with Shadertoy API on New Field in Document from MongoDB API

MongoDB + Shadertoy

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Get Shader with Shadertoy API on New Collection from MongoDB API

MongoDB + Shadertoy

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Popular Shadertoy 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 Shadertoy and MongoDB Actions#

Access Shader Assets with the Shadertoy API

Accesses an asset from source. 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 Shader with the Shadertoy API

Returns a specific shader based on an ID. 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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List Shaders with the Shadertoy API

Returns a list of all shaders. See the documentation

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Overview of Shadertoy#

The Shadertoy API opens a window to a universe of visual creations by providing programmatic access to a wealth of shaders created by the Shadertoy community. These shaders are snippets of GLSL code that produce stunning graphics and visual effects. In Pipedream, you can leverage this API to trigger workflows that interact with these shaders, such as retrieving shader information, displaying shader visuals, or even monitoring the latest creations. By combining Shadertoy API with Pipedream's capability to connect to numerous other services, your creative and technical projects can flourish with dynamic, visually rich content.

Connect Shadertoy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shadertoy: {
      type: "app",
      app: "shadertoy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://www.shadertoy.com/api/v1/shaders/query/test`,
      params: {
        key: `${this.shadertoy.$auth.app_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#

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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