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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.

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 you to build a variety of products and applications that
integrate with the pCloud service. With the pCloud API, you can get access to a
wide range of features, including:

  • Storage for cloud-based file sharing
  • Automated synchronization of content
  • Content and account management
  • Automation of user-related tasks
  • Programmatic access to all pCloud services

With pCloud, you can easily build:

  • Web and mobile applications
  • Cloud-based backup & storage services
  • Content management solutions
  • User authentication & identities
  • File collaboration & sharing
  • Automated media streaming
  • Photo & video sharing services
  • Online Photo & Video Editor
  • Business process automation
  • Business intelligence & analytics

Connect pCloud

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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

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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