Integrate the Transistor.fm API with the MongoDB API

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

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Popular Ways to Connect Transistor.fm with MongoDB#

Create New Document with MongoDB API on New Event from Transistor.fm API

Transistor.fm + MongoDB

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Create subscriber with Transistor.fm API on New Collection from MongoDB API

MongoDB + Transistor.fm

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Create subscriber with Transistor.fm API on New Database from MongoDB API

MongoDB + Transistor.fm

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Create subscriber with Transistor.fm API on New Document from MongoDB API

MongoDB + Transistor.fm

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Create subscriber with Transistor.fm API on New Field in Document from MongoDB API

MongoDB + Transistor.fm

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Popular Transistor.fm and MongoDB Triggers#

New Event from the Transistor.fm API

Emit new event when the desired event happens

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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 Transistor.fm and MongoDB Actions#

Create subscriber with the Transistor.fm API

Create a subscriber. See the docs here

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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 Transistor.fm#

Transistor.fm is a platform offering podcast hosting and analytics services. With its API, you can automate the upload and management of podcast episodes, access detailed analytics, and manage users. When interfaced with Pipedream, Transistor.fm's API enables the creation of tailored, serverless workflows that can streamline your podcasting process, engage your audience effectively, and integrate with your digital ecosystem, from social media to email marketing platforms.

Connect Transistor.fm#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    transistor_fm: {
      type: "app",
      app: "transistor_fm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.transistor.fm/v1`,
      headers: {
        "x-api-key": `${this.transistor_fm.$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#

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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