Integrate the Hyperise API with the MongoDB API

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

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Popular Ways to Connect Hyperise with MongoDB#

Create New Document with MongoDB API on New Image Impression from Hyperise API

Hyperise + MongoDB

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Create Personalised Short Link with Hyperise API on New Collection from MongoDB API

MongoDB + Hyperise

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Create Personalised Short Link with Hyperise API on New Database from MongoDB API

MongoDB + Hyperise

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Create Personalised Short Link with Hyperise API on New Document from MongoDB API

MongoDB + Hyperise

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Create Personalised Short Link with Hyperise API on New Field in Document from MongoDB API

MongoDB + Hyperise

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Popular Hyperise and MongoDB Triggers#

New Image Impression from the Hyperise API

Emit new event when a new personalised image is viewed. See the documentation

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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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Popular Hyperise and MongoDB Actions#

Create Personalised Short Link with the Hyperise API

Creates a personalised short URL from provided inputs. 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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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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Overview of Hyperise#

The Hyperise API lets you dynamically personalize images with user-specific data, making it easier to create tailored visual content for each recipient. With Pipedream, you can automate this personalization process by integrating Hyperise with various apps to generate and share custom images on the fly. This could be particularly useful for marketing campaigns, sales outreach, or social media engagement where personalized content significantly boosts user interaction.

Connect Hyperise#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hyperise: {
      type: "app",
      app: "hyperise",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.hyperise.io/api/v1/regular/users/current`,
      params: {
        api_token: `${this.hyperise.$auth.api_token}`,
      },
    })
  },
})

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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