semvec/pypi-packages huggingface dataset:
scrapedia 0.1.0
A scraper used for the extraction of brazilizan soccer historic data from the webpage futpedia.globo.com
License: MIT License

Copyright (c) 2019 Lucas

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Download-URL: https://github.com/LucasRGoes/scrapedia/archive/0.1.0.tar.gz
Description: # Scrapedia: A web scraper of Futpédia
        
        [![CircleCI](https://circleci.com/gh/LucasRGoes/scrapedia/tree/master.svg?style=svg)](https://circleci.com/gh/LucasRGoes/scrapedia/tree/master)
        [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        
        __Scrapedia__ is a scraper specifically designed to extract Brazilian soccer data from [Futpédia](http://futpedia.globo.com/)'s webpage.
        
        This project was motivated by the small amount of open data sources concerning Brazilian soccer and the yearning for learning.
        
        __|__ [Documentation](./docs/en-us/usage.ipynb) __|__ [Architecture](./resources/images/architecture.png) __|__
        
        ## Installation
        To install via pip:
        
        ```
        pip install scrapedia
        ```
        
        The package can be installed from the source:
        ```
        git clone git@github.com/LucasRGoes/scrapedia.git
        cd scrapedia
        git checkout master
        pip install .
        ```
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown