Metadata-Version: 2.1
Name: vigorish
Version: 0.3.10
Summary: Hybrid Python/Node.js web scraper for Major League Baseball (MLB) data.
Home-page: https://github.com/a-luna/vigorish
Author: Aaron Luna
Author-email: contact@aaronluna.dev
Maintainer: Aaron Luna
Maintainer-email: contact@aaronluna.dev
License: MIT
Project-URL: Bug Tracker, https://github.com/a-luna/vigorish/issues
Project-URL: Source Code, https://github.com/a-luna/vigorish
Project-URL: Documentation, https://aaronluna.dev/projects/vigorish
Description: [![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](https://codecov.io/gh/a-luna/vigorish)
        
        ## 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 &mdash; 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](https://aaronluna.dev/projects/vigorish/)
        
        ### 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):
        
        -   [aenum](https://github.com/ethanfurman/aenum)
        -   [bullet](https://github.com/bchao1/bullet)
        -   [click](https://github.com/pallets/click)
        -   [dacite](https://github.com/konradhalas/dacite)
        -   [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
        -   [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
        -   [events](https://github.com/pyeve/events)
        -   [halo](https://github.com/manrajgrover/halo)
        -   [lxml](https://github.com/lxml/lxml)
        -   [naked](https://github.com/chrissimpkins/naked)
        -   [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
        -   [tabulate](https://github.com/astanin/python-tabulate)
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: JavaScript
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Description-Content-Type: text/markdown
