Skip to main content

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

Release files for scrapedia 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scrapedia 0.1.0
File Size Uploaded
scrapedia-0.1.0.tar.gz 11.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for scrapedia 0.1.0
File Interpreter ABI Platform
scrapedia-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 26.8 kB

Release files / scrapedia-0.1.0.tar.gz

Download URL scrapedia-0.1.0.tar.gz
Size 11.9 kB
Tags Source
SHA-256 checksum
How to use checksums
8def445ee6206f4bebc9fa71ba71389d2c49cad07beac80d55625ed1a1e6d89f
BLAKE2b-256 checksum
How to use checksums
ec06c6819052ecbf269c6dfcc9872405f7267cf7ebda7573e0c7606f33fa1290
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.8.0 tqdm/4.36.1 CPython/3.7.4

Release files / scrapedia-0.1.0-py3-none-any.whl

Download URL scrapedia-0.1.0-py3-none-any.whl
Size 14.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fc0998ec6d4921ba8170c1f5c52b1a15c7e665156d60afff29a6801c79348c9b
BLAKE2b-256 checksum
How to use checksums
8f7c8724ee850c89187c2c5c8cd95f269ff24637eee3c58d7556bbc91983673a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.8.0 tqdm/4.36.1 CPython/3.7.4

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page