youtube-dl-server

Very spartan Web and REST interface for downloading youtube videos onto a server. starlette + youtube-dl.

Running

Docker CLI

This example uses the docker run command to create the container to run the app. Here we also use host networking for simplicity. Also note the -v argument. This directory will be used to output the resulting videos

docker run -d --net="host" --name youtube-dl -v /home/core/youtube-dl:/youtube-dl kmb32123/youtube-dl-server

Docker Compose

This is an example service definition that could be put in docker-compose.yml. This service uses a VPN client container for its networking.

  youtube-dl:
    image: "kmb32123/youtube-dl-server"
    network_mode: "service:vpn"
    volumes:
      - /home/core/youtube-dl:/youtube-dl
    restart: always

Python

If you have python ^3.6.0 installed in your PATH you can simply run like this, providing optional environment variable overrides inline.

YDL_SERVER_PORT=8123 YDL_UPDATE_TIME=False python3 -u ./youtube-dl-server.py

In this example, YDL_UPDATE_TIME=False is the same as the command line option --no-mtime.

Usage

Start a download remotely

Downloads can be triggered by supplying the {{url}} of the requested video through the Web UI or through the REST interface via curl, etc.

HTML

Just navigate to http://{{host}}:8080/youtube-dl and enter the requested {{url}}.

Curl

curl -X POST --data-urlencode "url={{url}}" http://{{host}}:8080/youtube-dl/q

Fetch

fetch(`http://${host}:8080/youtube-dl/q`, {
  method: "POST",
  body: new URLSearchParams({
    url: url,
    format: "bestvideo"
  }),
});

Bookmarklet

Add the following bookmarklet to your bookmark bar so you can conviently send the current page url to your youtube-dl-server instance.

javascript:!function(){fetch("http://${host}:8080/youtube-dl/q",{body:new URLSearchParams({url:window.location.href,format:"bestvideo"}),method:"POST"})}();

Implementation

The server uses starlette for the web framework and youtube-dl to handle the downloading. The integration with youtube-dl makes use of their python api.

This docker image is based on python:alpine and consequently alpine:3.8.