Hybrid Python/Node.js web scraping application 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:
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
vigorish-0.2.23.tar.gz
(1.4 MB
view hashes)
Built Distribution
Close
Hashes for vigorish-0.2.23-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ed49acaf220e17c4402fce4067f11d2048145427be0b29f39ff0ce3cfb04e89 |
|
MD5 | 3ce7a7200f34e8be382cc0efb606ec57 |
|
BLAKE2b-256 | 716873152de8b85df61f7402935933e365ba2379895d6447236d49796eae0572 |