Awesome
youtube-dl-server
Very spartan Web and REST interface for downloading youtube videos onto a server. starlette
+ yt-dlp
.
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_UPDATE_TIME=False python3 -m uvicorn youtube-dl-server:app --port 8123
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
.