dry_scraper is a framework for retrieving and parsing hockey data into useful forms.
In its current form, it supports only NHL data sources, but its object-oriented structure is intended to enable extensibility to other leagues with comparable data sources.
It's simple to get started. Here's how you can retrieve a pandas dataframe of the team stats for a given game:
from dry_scraper.nhl.nhl_api_sources import NhlGameLiveFeedApiSource
team_stats = NhlGameLiveFeedApiSource(season=2022, gamePk=20720)
.fetch_content()
.parse_to_pyd()
.yield_team_stats_df()
FAQs
A framework for retrieving and parsing hockey data into useful forms.
We found that dry-scraper demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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