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diff --git a/python-basketball-reference-scraper.spec b/python-basketball-reference-scraper.spec new file mode 100644 index 0000000..0a96e3a --- /dev/null +++ b/python-basketball-reference-scraper.spec @@ -0,0 +1,159 @@ +%global _empty_manifest_terminate_build 0 +Name: python-basketball-reference-scraper +Version: 1.0.31 +Release: 1 +Summary: A Python client for scraping stats and data from Basketball Reference +License: MIT +URL: https://github.com/vishaalagartha/basketball_reference_scraper +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b7/d9/d305b624569f7fdda759a20bd3387a7f837f3fc7eb6b381db33fb412529b/basketball_reference_scraper-1.0.31.tar.gz +BuildArch: noarch + +Requires: python3-beautifulsoup4 +Requires: python3-bs4 +Requires: python3-lxml +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-dateutil +Requires: python3-pytz +Requires: python3-requests +Requires: python3-six +Requires: python3-soupsieve +Requires: python3-unidecode +Requires: python3-unittest + +%description +# basketball_reference_scraper + +[Basketball Reference](https://www.basketball-reference.com/) is a great resource to aggregate statistics on NBA teams, seasons, players, and games. This package provides methods to acquire data for all these categories in pre-parsed and simplified formats. + +## Installing +### Via `pip` +I wrote this library as an exercise for creating my first PyPi package. Hopefully, you find it easy to use. +Install using the following command: + +``` +pip install basketball-reference-scraper +``` + +### Via GitHub +Alternatively, you can just clone this repo and import the libraries at your own discretion. + +## Wait, don't scrapers like this already exist? + +Yes, scrapers and APIs do exist. The primary API used currently is for [stats.nba.com](https://stats.nba.com/), but the website blocks too many requests, hindering those who want to acquire a lot of data. Additionally, scrapers for [Basketball Reference](https://www.basketball-reference.com/) do exist, but none of them load dynamically rendered content. These scrapers can only acquire statically loaded content, preventing those who want statistics in certain formats (for example, Player Advanced Stats Per Game). + +### API +Currently, the package contains 5 modules: `teams`, `players`, `seasons`, `box_scores`, `pbp`, `shot_charts`, and `injury_report`. +The package will be expanding to include other content as well, but this is a start. + +For full details on the API please refer to the [documentation](https://github.com/vishaalagartha/basketball_reference_scraper/blob/master/API.md). + + +%package -n python3-basketball-reference-scraper +Summary: A Python client for scraping stats and data from Basketball Reference +Provides: python-basketball-reference-scraper +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-basketball-reference-scraper +# basketball_reference_scraper + +[Basketball Reference](https://www.basketball-reference.com/) is a great resource to aggregate statistics on NBA teams, seasons, players, and games. This package provides methods to acquire data for all these categories in pre-parsed and simplified formats. + +## Installing +### Via `pip` +I wrote this library as an exercise for creating my first PyPi package. Hopefully, you find it easy to use. +Install using the following command: + +``` +pip install basketball-reference-scraper +``` + +### Via GitHub +Alternatively, you can just clone this repo and import the libraries at your own discretion. + +## Wait, don't scrapers like this already exist? + +Yes, scrapers and APIs do exist. The primary API used currently is for [stats.nba.com](https://stats.nba.com/), but the website blocks too many requests, hindering those who want to acquire a lot of data. Additionally, scrapers for [Basketball Reference](https://www.basketball-reference.com/) do exist, but none of them load dynamically rendered content. These scrapers can only acquire statically loaded content, preventing those who want statistics in certain formats (for example, Player Advanced Stats Per Game). + +### API +Currently, the package contains 5 modules: `teams`, `players`, `seasons`, `box_scores`, `pbp`, `shot_charts`, and `injury_report`. +The package will be expanding to include other content as well, but this is a start. + +For full details on the API please refer to the [documentation](https://github.com/vishaalagartha/basketball_reference_scraper/blob/master/API.md). + + +%package help +Summary: Development documents and examples for basketball-reference-scraper +Provides: python3-basketball-reference-scraper-doc +%description help +# basketball_reference_scraper + +[Basketball Reference](https://www.basketball-reference.com/) is a great resource to aggregate statistics on NBA teams, seasons, players, and games. This package provides methods to acquire data for all these categories in pre-parsed and simplified formats. + +## Installing +### Via `pip` +I wrote this library as an exercise for creating my first PyPi package. Hopefully, you find it easy to use. +Install using the following command: + +``` +pip install basketball-reference-scraper +``` + +### Via GitHub +Alternatively, you can just clone this repo and import the libraries at your own discretion. + +## Wait, don't scrapers like this already exist? + +Yes, scrapers and APIs do exist. The primary API used currently is for [stats.nba.com](https://stats.nba.com/), but the website blocks too many requests, hindering those who want to acquire a lot of data. Additionally, scrapers for [Basketball Reference](https://www.basketball-reference.com/) do exist, but none of them load dynamically rendered content. These scrapers can only acquire statically loaded content, preventing those who want statistics in certain formats (for example, Player Advanced Stats Per Game). + +### API +Currently, the package contains 5 modules: `teams`, `players`, `seasons`, `box_scores`, `pbp`, `shot_charts`, and `injury_report`. +The package will be expanding to include other content as well, but this is a start. + +For full details on the API please refer to the [documentation](https://github.com/vishaalagartha/basketball_reference_scraper/blob/master/API.md). + + +%prep +%autosetup -n basketball-reference-scraper-1.0.31 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-basketball-reference-scraper -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.31-1 +- Package Spec generated |