What do you want to automate
with pCloud and Python?
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Popular pCloud and Python Triggers#
Emit new event when a file is created or modified in the specified folder.
Popular pCloud and Python Actions#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies