Nextcloud

Remote collaboration made easy.

Integrate the Nextcloud API with the Python API

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

Run Python Code with Python API on New Share Created from Nextcloud API
Nextcloud + Python
 
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New Share Created from the Nextcloud API

Emit new event whenever a share is created in Nextcloud. See the documentation

 
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Create Share with the Nextcloud API

Creates a new share link from the specified path in Nextcloud. See the documentation

 
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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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Delete Share with the Nextcloud API

Deletes a specific share in Nextcloud. See the documenation

 
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Get Shares with the Nextcloud API

Retrieves a list of shares based on the specified criteria in Nextcloud. See the documentation

 
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Overview of Nextcloud

Nextcloud's API lets you tap into your self-hosted cloud storage and collaboration platform. With Pipedream, you can automate tasks like file management, user account operations, and accessing calendar and contacts. It's a treasure trove for creating workflows that sync, share, and manage data programmatically between Nextcloud and other apps.

Connect Nextcloud

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nextcloud: {
      type: "app",
      app: "nextcloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.nextcloud.$auth.url}/ocs/v2.php/apps/files_sharing/api/v1/shares`,
      headers: {
        "OCS-APIRequest": `true`,
      },
      auth: {
        username: `${this.nextcloud.$auth.username}`,
        password: `${this.nextcloud.$auth.password}`,
      },
    })
  },
})

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

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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}}