nbb_api
Python package for easy access to Brazilian basketball data through scraping of LNB website.
This allows users to obtain statistics, standings, and scores for various seasons and phases of the following tournaments:
- NBB (Novo Basquete Brasil)
- LDB (Liga de Desenvolvimento de Basquete)
- Liga Ouro
Installing
Via pip
This library was written as an exercise for creating my first PyPi package. Hopefully you will find it valuable! Install with the following command:
pip install nbb-api
Documentation
For documentation about the API methods refer to the documentation.
Example of use
from nbb_api import nbb
nbb.get_stats('2022-23','regular','cestinhas').head()
Output:
| Jogador | Equipe | JO | Min | Pts | 3P | 2P | LL | Camisa | Temporada | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | McClanahan | Fortaleza B. C. | 27 | 34.11 | 20.89 | 6.11 | 10.89 | 3.89 | 22 | 2022-23 |
| 1 | Antonio | UNIFACISA | 26 | 31.74 | 17.96 | 6.00 | 8.85 | 3.12 | 11 | 2022-23 |
| 2 | Thomas | Corinthians | 27 | 32.13 | 17.67 | 5.44 | 8.15 | 4.07 | 0 | 2022-23 |
| 3 | Lucas Mariano | Sesi Franca | 22 | 27.41 | 17.59 | 7.23 | 7.64 | 2.73 | 28 | 2022-23 |
| 4 | Lucas Dias | Sesi Franca | 20 | 30.65 | 17.50 | 5.85 | 8.60 | 3.05 | 9 | 2022-23 |
Use it wisely!
Metadata
Release files for nbb-api 0.1.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nbb_api-0.1.11.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nbb_api-0.1.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.6 kB
Release files / nbb_api-0.1.11.tar.gz
| Download URL | nbb_api-0.1.11.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / nbb_api-0.1.11-py3-none-any.whl
| Download URL | nbb_api-0.1.11-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/5.0.0 CPython/3.12.1
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