The max_nhl_scraper package is a Python tool for scraping NHL (National Hockey League) data. It allows users to easily extract detailed game data, player statistics, and other relevant information from the NHL's official sources.
Still working on it
Still working on it
the scraper requires the following Python libraries:
appnope==0.1.3 asttokens==2.4.1 beautifulsoup4==4.12.2 certifi==2023.11.17 charset-normalizer==3.3.2 comm==0.2.0 contourpy==1.2.0 cycler==0.12.1 debugpy==1.8.0 decorator==5.1.1 exceptiongroup==1.2.0 executing==2.0.1 fonttools==4.47.0 html5lib==1.1 idna==3.6 importlib-metadata==7.0.1 importlib-resources==6.1.1 ipykernel==6.28.0 ipython==8.18.1 jedi==0.19.1 Jinja2==3.1.2 jupyter_client==8.6.0 jupyter_core==5.6.0 kiwisolver==1.4.5 lxml==4.9.4 MarkupSafe==2.1.3 matplotlib==3.8.2 matplotlib-inline==0.1.6 nest-asyncio==1.5.8 numpy==1.26.2 packaging==23.2 pandas==2.1.4 parso==0.8.3 pexpect==4.9.0 Pillow==10.1.0 platformdirs==4.1.0 prompt-toolkit==3.0.43 psutil==5.9.7 ptyprocess==0.7.0 pure-eval==0.2.2 Pygments==2.17.2 pyparsing==3.1.1 python-dateutil==2.8.2 pytz==2023.3.post1 pyzmq==25.1.2 requests==2.31.0 seaborn==0.13.0 six==1.16.0 soupsieve==2.5 stack-data==0.6.3 tornado==6.4 traitlets==5.14.0 typing_extensions==4.9.0 tzdata==2023.3 urllib3==1.26.18 wcwidth==0.2.12 webencodings==0.5.1 zipp==3.17.0
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions to max_nhl_scraper are welcome! Please feel free to submit pull requests or open issues to discuss potential improvements or report bugs.
If you have any questions or suggestions, please contact me at [email protected].
Special thanks to all contributors (just me for now) and users of max_nhl_scraper.