Google released recently a new Bulk API in order to retrieve viewing statistics, popularity metrics, and more for YouTube videos and channels more conveniently.
The use-case of this API is very simple. It is possible to list jobs and schedule processes that generate new data on a daily basis. As we work with Youtube in our company a lot, we wanted to adapt this new API as quickly as possible, despite its significant limitation (e.g. it is not possible to download historic data before the reports started to be generated by this Bulk API).
We implemented and integrated the first iteration of the YouTube Analytics and Reporting API Extractor for Keboola Connection and started using heavily.
In a nutshell, the extractor expects that the jobs have already been scheduled and data has been generated (the configuration of the jobs must be done outside the Keboola extractor). You can specify particular report types as well as content owner id and timeframes.
Configuration is done by Keboola generic GUI that expect a valid JSON object (we plan to build a custom GUI for the configuration part for the further releases as well as make the whole user experience better). The params related to credentials utilise the new encryption feature and are stored safely on Keboola Connection Backend. You can check the documentation to learn more about the configuration part. Documentation contains also important note about the current limitation of this extractor.
In case of any question/issue, feel free to contact me at any time (email@example.com). I am more than happy to help you with the configuration/fixing issues if any. Thank you and enjoy!