tonyhardcode/youtube-dl-server repository overview

⁠youtube-dl-server

Very spartan Web and REST interface for downloading youtube videos onto a server. bottle⁠ + 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 ^3.3.0 installed in your PATH you can simply run like this, providing optional environment variable overrides inline.

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

⁠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 bottle⁠ 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.