Integrate the FTrack API with the MongoDB API

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

Popular Ways to Connect FTrack with MongoDB#

Create New Document with MongoDB API on New Project Added from FTrack API

FTrack + MongoDB

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Create New Document with MongoDB API on New Task Added from FTrack API

FTrack + MongoDB

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Create New Document with MongoDB API on Status Changed from FTrack API

FTrack + MongoDB

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Delete a Document with MongoDB API on New Project Added from FTrack API

FTrack + MongoDB

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Delete a Document with MongoDB API on New Task Added from FTrack API

FTrack + MongoDB

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Popular FTrack and MongoDB Triggers#

New Project Added from the FTrack API

Triggered when a new task is added. See the documentation

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New Task Added from the FTrack API

Triggered when a new task is added. See the documentation

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Status Changed from the FTrack API

Triggered when the status of an item is changed. 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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Popular FTrack and MongoDB Actions#

Get Task Info with the FTrack API

Get information about a task. 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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List Schemas with the FTrack API

List all schemas. 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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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

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Overview of FTrack#

The FTrack API is a powerhouse for creative project management, enabling users to automate and integrate a wide array of tasks related to project tracking, asset management, and team collaboration. With Pipedream, you can harness this API to create custom workflows that trigger actions within FTrack or connect it with other apps to streamline your creative operations. It's a toolset for improving efficiency by automating repetitive tasks, syncing data across applications, and orchestrating complex project management activities.

Connect FTrack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ftrack: {
      type: "app",
      app: "ftrack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "POST",
      url: `https://${this.ftrack.$auth.subdomain}.ftrackapp.com/api`,
      headers: {
        "Content-Type": `application/json`,
        "ftrack-user": `${this.ftrack.$auth.username}`,
        "ftrack-api-key": `${this.ftrack.$auth.api_key}`,
      },
      data: []
    })
  },
})

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()
  },
})