Integrate the Bitport API with the Python API

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

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Popular Bitport and Python Actions#

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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Overview of Bitport#

The Bitport API allows you to integrate cloud torrent downloads into your apps and workflows. With Bitport, you can fetch torrents to a secure cloud location and stream them online. This opens up possibilities for automating downloads, orchestrating media collection, or even building custom alerts for completed torrent downloads. On Pipedream, you can connect the Bitport API to various other services to create powerful automation workflows. For instance, you could trigger downloads with webhooks, organize files with cloud storage services, or send notifications through communication platforms.

Connect Bitport#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bitport: {
      type: "app",
      app: "bitport",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bitport.io/v2/me`,
      headers: {
        Authorization: `Bearer ${this.bitport.$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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