Dropbox

Dropbox gives you secure access to all your files. Collaborate with friends, family, and coworkers from any device.

Integrate the Dropbox API with the Python API

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

Run Python Code with Python API on New File from Dropbox API
Dropbox + Python
 
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Run Python Code with Python API on New Folder from Dropbox API
Dropbox + Python
 
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Run Python Code with Python API on New or Modified File or Folder from Dropbox API
Dropbox + Python
 
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New File from the Dropbox API

Emit new event when a new file is added to your account or a specific folder. Make sure the number of files/folders in the watched folder does not exceed 4000.

 
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New Folder from the Dropbox API

Emit new event when a new folder is created. Make sure the number of files/folders in the watched folder does not exceed 4000.

 
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New or Modified File or Folder from the Dropbox API

Emit new event when a file or folder is added or modified. Make sure the number of files/folders in the watched folder does not exceed 4000.

 
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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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Create a Text File with the Dropbox API

Creates a brand new text file from plain text content you specify. See docs here

 
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Create folder with the Dropbox API

Create a folder. See docs here

 
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Create or Append to a Text File with the Dropbox API

Adds a new line to an existing text file, or creates a file if it doesn't exist. See docs here

 
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Create/Update a Share Link with the Dropbox API

Creates or updates a public share link to the file or folder (It allows to share the file or folder with anyone). See docs here

 
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Overview of Dropbox

The Dropbox API on Pipedream enables you to automate file and folder operations, streamlining workflows that involve storing, syncing, and sharing content. With this API, you can programmatically manage files, set up event-driven triggers based on changes within Dropbox, and leverage Pipedream's capabilities to connect with hundreds of other apps for extended automation scenarios. It's ideal for building custom file management solutions, archiving systems, or collaborative content workflows without writing extensive code.

Connect Dropbox

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dropbox: {
      type: "app",
      app: "dropbox",
    }
  },
  async run({steps, $}) {
    const data = {
      "account_id": `${this.dropbox.$auth.oauth_uid}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.dropboxapi.com/2/users/get_account`,
      headers: {
        Authorization: `Bearer ${this.dropbox.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}

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