What do you want to automate
with Bitport and Python?
Prompt, edit and deploy AI agents that connect to Bitport, Python and 2,800+ other apps in seconds.
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Popular Bitport and Python Triggers#
Emit new event when a new file is added to a project in Bitport. See the documentation
Emit new event when a new media is added to a project in Bitport. See the documentation
Popular Bitport and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Searches folders and files in the cloud and sorts them by name. See the documentation
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies