edginghockeyscraper 0.1.4

Python Hockey Data Scraper

EdgingHockeyScraper

https://pypi.python.org/pypi/edginghockeyscraper

Install

pip install edginghockeyscraper

Python Hockey Data Scraper

• Free software: MIT license
• Documentation: https://edginghockeyscraper.readthedocs.io.

Features

• Python Hockey Data Scraper with following features:

  • Caching Requests to quickly fetch data
  • Parallel Processing to speed up data fetch from NHL API

• Get League schedule for year - Usageschedule = edginghockeyscraper.get_league_schedule(2024)

• Get Game boxscore

  • boxscore = edginghockeyscraper.get_boxscore(2024020345)

• Get Game playByPlay

  • playByPlay = edginghockeyscraper.get_play_by_play(2024020345)

• Get Season boxscores

  • boxscoreSeason = edginghockeyscraper.get_boxscore_season(2024)

• Get Season playByPlay

  • playByPlaySeason = edginghockeyscraper.get_play_by_play_season(2024)

Filter Season data by PreSeason, Regular, PostSeason gametypes

• e.g.
  • games = edginghockeyscraper.get_league_schedule(2024, {GameType.REG})
  • boxscoreSeason = edginghockeyscraper.get_boxscore_season(2024, {GameType.REG})

Utilize requests-cache for fast repeated request calls

• First Call:

  %%time
  edginghockeyscraper.get_boxscore_season(2024, cache= True)
  

  CPU times: user 583 ms, sys: 318 ms, total: 901 ms Wall time: 1min 18s

• Second Call:

  • CPU times: user 374 ms, sys: 141 ms, total: 515 ms Wall time: 1.31 s

  A 60x speedup!

Utilize multiprocessing to improve request speed

Benchmark using 2024 Macbook Air Apple M3 16GB

1. No Parallel getBoxscoreSeason: CPU times: user 15.6 s, sys: 3.55 s, total: 19.1 s Wall time: 8min 49s

2. Parallel getBoxscoreSeason: CPU times: user 583 ms, sys: 318 ms, total: 901 ms Wall time: 1min 18s

   A ~7x Speedup! (this is an 8-core CPU - you can expect roughly a <# cpu-cores> speedup)