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n8n-nodes-pyload

v0.1.3

Published

n8n community node for pyLoad (download manager) via its API

Downloads

618

Vulnerabilities

Powered byPowered by Snyk
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  • 0Medium
  • 0Low

Links

Git

Maintainers

izakunizakun

Keywords

n8n-community-node-packagen8npyloaddownloadddl

Readme

n8n-nodes-pyload

npm version npm downloads License: MIT n8n verified

Community node for n8n to interact with PyLoad. It lets you automate PyLoad directly from your n8n workflows using a secure stored credential.

✅ Verified community node — installable directly from the n8n node panel (self-hosted and n8n Cloud).

Installation

This is a verified community node: in n8n click + (Add node), search for PyLoad, and add it — no manual install needed.

Go to Settings → Community Nodes → Install and enter n8n-nodes-pyload.

Operations

| Operation | Description | |---|---| | Get Collector | Get the link collector | | Get Config | Get the configuration | | Get Downloads | Get active downloads | | Get Queue | Get the download queue | | Get Server Status | Get the server status | | Get Version | Get the server version |

Authentication

This node uses the pyLoad API credential. In n8n, go to Credentials → New, pick pyLoad API, and fill in:

  • Base URL — the address of your instance, e.g. http://pyload:8000 (no trailing slash).
  • Username — your account username.
  • Password — your account password.

The node signs in with your username/password automatically on each run.

Where to find it: See the service documentation: https://docs.pyload.net/

The credential's Test button verifies the connection before you save.

Usage

  1. Add the PyLoad node to a workflow (after a trigger such as When clicking 'Test workflow' or a Schedule Trigger).
  2. Select your pyLoad API credential.
  3. Pick an Operation and run the workflow — the response is returned as JSON for the next node.

Compatibility

Requires n8n 1.0 or newer. Built and linted with the official @n8n/node-cli, and published to npm with a build-provenance attestation.

Resources

License

MIT