This scraper is a command-line tool that extract information from YouTube playlists and push them to Algolia.

yarn index {config_name}

The ./configs/ folder contain custom configs, each containing a list of playlists to index.

The command will use the YouTube API to fetch data about the defined playlists and push them to Algolia.

Captions will be extracted from the videos if they are available. Each record in Algolia will represent one caption, also containing a .video, .playlist and .channel key. The distinct feature of Algolia is used to group records of the same video together, to display the most relevant caption each time.

Each channel will have its own index called {channel_name}_{channel_id}. All videos of all playlists will be saved in this index, but can be filtered based on the channel.id and playlist.id keys of the records.

Start with yarn install to load all the dependencies.

The project will need ENV variables to connect to the services.

• ALGOLIA_APP_ID and ALGOLIA_API_KEY for pushing records to Algolia
• YOUTUBE_API_KEY to connect to the YouTube API
• GOOGLE_APPLICATION_CREDENTIALS that point to the path to your google.service-account-file.json (create one here)

We suggest using a tool like direnv to load those variables through the use of a .envrc file.

Once everything is installed, you can run yarn index {config_name}

This will read data from a disk cache of previous requests instead of making actual HTTP calls. If there is no cache hit for the request, it will do it for real.

This should be the preferred way of running the command for debugging purposes.

This will log all HTTP calls raw responses to disk. This is useful when debugging, as it allow to dig into the responses of the APIs called.