.. _Docker: Docker ========== If you prefer to run Feeds in a docker container, you can use the official `PyFeeds image `_. A ``docker-compose.yaml`` could look like this: .. code-block:: yaml version: "3.9" services: pyfeeds: image: pyfeeds/pyfeeds:latest volumes: - ./config:/config - pyfeeds-output:/output command: --config /config/feeds.cfg crawl volumes: pyfeeds-output: name: pyfeeds-output It mounts the ``config`` folder next to the ``docker-compose.yaml`` and uses the contained ``feeds.cfg`` as config for Feeds. The feeds are stored in a volume which could be picked up by a webserver: .. code-block:: yaml version: "3.9" services: pyfeeds-server: image: nginx:stable-alpine restart: always volumes: - pyfeeds-output:/usr/share/nginx/html:ro volumes: pyfeeds-output: external: true name: pyfeeds-output Now any other container in the same docker network (f.e. a ttrss server) could access the feeds (f.e. http://pyfeeds-server/theoatmeal.com/feed.atom). Add a port mapping in case you want to allow access from outside the container's docker network.