📈 Open Podcast Metrics Pipelines

This repo contains two pipelines for collecting and processing podcast metrics data from Spotify, Apple, Podigee, and Anchor. It uses the following connector libs:

• Anchor: https://github.com/openpodcast/anchor-connector
• Apple: https://github.com/openpodcast/apple-connector
• Podigee: https://github.com/openpodcast/podigee-connector
• Spotify: https://github.com/openpodcast/spotify-connector

A pipeline consists of a Docker image which uses cron to run the connector periodically and forwards the fetched data to the Open Podcast API.

Getting started

Starting the full stack

For local development, you can use the docker-compose.yml file to run the pipeline. To start the stack, consisting of the pipeline and a sample database, run:

make up

This will start the pipeline and a sample database. The pipeline will run every minute and fetch data from Spotify, Apple, and Anchor according to the podcastSources SQL table (see db_local_dev/schema.sql).

Starting the database only

Alternatively, you can also start the database only. This is helpful if you want to run the pipeline in interactive mode

docker-compose up db

After that, you can start the manager container to run the pipeline:

# Interactive shell
docker-compose run --rm --entrypoint /bin/bash --env-file connector_manager/.env manager

# Run the pipeline in interactive mode
python -m manager --interactive

Production Usage

Have a look at https://github.com/openpodcast/stack to see a full stack which also consists of the pipeline containers to fetch data.

Contributing

If you also want to collect metrics for your podcast, have a look at https://github.com/openpodcast/stack or reach out. We'll get you onboarded.

You can also help contribute or request new connectors.