Hybrid Python/Node.js web scraper for Major League Baseball (MLB) data.
Project description
vigorish
vigorish
is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
Requirements
- Python 3.6+
- Node.js 10+ (Tested with Node.js 11-13)
- Xvfb
- AWS account (optional but recommended, used to store scraped data in S3)
Project Documentation
For a step-by-step install guide and instructions for configuring/using vigorish
, please visit the link below:
Vigorish: Hybrid Python/Node.Js Web Scraper
Credits
vigorish
either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create vigorish
without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for vigorish-0.4.17-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 362363335b290148ba73d3136c8c7a20e4861c12c52c55a9e695d6136eeeff36 |
|
MD5 | e1faafdaecc06ae47141d4f379ab00af |
|
BLAKE2b-256 | 2e86a87e4f189262ad092293918b01652e6b50a9a5637026279dad4671070a41 |