Outdoor Activity Stack
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Recreation and Booking Insights with Airbyte
Extract data on camping, tours, or ticket availability from the Recreation.gov API with Airbyte. Load it into a warehouse to analyze popular recreation spots, booking trends, or seasonal demands.
You can use a tool like dbt for data transformation, and an orchestrator like Airflow or Dagster if needed.
How to get started:
- Check out the README and the Contribution instructions in this repo.
- Check one of the existing quickstarts and observe their structure.
- (Optional, but highly recommended) Implement one of the quickstarts by following the instructions in their README. I recommend starting with E-commerce analytics in BigQuery
@ThaliaBarrera Hello I've made aPR please check that and next I want to try this. Ty
Ok @bishalbera I'll check asap and then assign you to this one :).
@ThaliaBarrera so can I now work on this?
Sure @bishalbera, assigned.
@ThaliaBarrera, can I use Python and Matplotlib instead of SQL for analysis? I want to build data visualizations, and I was unable to do that with Metabase.
To perform the mentioned analysis I need ticket or booking data from the API which I can get from the reservations endpoint as per the Recreation Api docs . But that stream is not listed in the airbyte docs so what to do @ThaliaBarrera ?
Sure @bishalbera, feel free to use Python :) and Matplotlib. As for the analysis, sorry that I didn't notice the stream is missing when I created the issue. Feel free to do any other analysis that you think it's interesting with the Recreation API. The idea was just to have a source with readily available data to show an interesting use case.
@ThaliaBarrera ok Ty :)