RSS feed for content published on LinkedIn Learning.

This feed is available at http://learning-feeds.bxfncnf2c0d8b6av.eastus.azurecontainer.io:8080/courses.

By default, it returns entries of all english language courses.

You can filter the feed by author, e.g. ?author=scott-simpson, only courses by Scott Simpson will be returned in the feed.

This will build a docker image that is ready to run the server.

It includes running the loader as part of the build. The server/runtime image copies the sqlite database file from the loader image into runtime image so that the database is packaged with the server.

LINKEDIN_CLIENT_ID=... LINKEDIN_CLIENT_SECRET=... \
    docker build -f Dockerfile -t learning-feeds:latest \
    --secret id=LINKEDIN_CLIENT_ID \
    --secret id=LINKEDIN_CLIENT_SECRET .

To run the container:

docker run --cpus 1 --memory 512m -d -p 8080:8080 --name learning-feeds learning-feeds:latest

You can also run the loader directly. This is use for development of the loader.

Running the loader will pull all LinkedIn Learning Courses that are currently published (i.e. not retired) and related Author and Skills metadata for the Course. The content data is stored in a sqlite database file learning.db.

CLIENT_ID=... CLIENT_SECRET=... python learning-feeds/loader/loader.py

Start the server:

DB_PATH=learning.db uvicorn learning-feeds.server.server:app --log-config=learning-feeds/server/log_conf.yml