Integrate the pCloud API with the Python API

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

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Popular Ways to Connect pCloud with Python#

Run Python Code with Python API on Watch Folder from pCloud API

pCloud + Python

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Popular pCloud and Python Triggers#

Watch Folder from the pCloud API

Emit new event when a file is created or modified in the specified folder.

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Popular pCloud and Python Actions#

Copy File with the pCloud API

Copy a file to the specified destination. See the docs here

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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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Copy Folder with the pCloud API

Copy a folder to the specified folder. See the docs here

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Create Folder with the pCloud API

Create a folder in the specified folder. See the docs here

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Download File(s) with the pCloud API

Download one or more files to a folder. See the docs here

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Overview of pCloud#

The pCloud API allows for direct interaction with your pCloud account, providing access to files and folders within your cloud storage. With Pipedream, you can automate file management tasks such as uploading, downloading, and synchronizing files. Additionally, you can create workflows to organize your cloud storage, share files with team members, or back up important data from various sources.

Connect pCloud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pcloud: {
      type: "app",
      app: "pcloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.pcloud.$auth.hostname}/userinfo`,
      headers: {
        Authorization: `Bearer ${this.pcloud.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

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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