%global _empty_manifest_terminate_build 0 Name: python-itunes-app-scraper-dmi Version: 0.9.5 Release: 1 Summary: A lightweight iTunes App Store scraper License: MIT License URL: https://github.com/digitalmethodsinitiative/itunes-app-scraper Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1c/3f/41233ed797c43c0beaec659f09fff3afb06cace267858f1317be22e59d88/itunes-app-scraper-dmi-0.9.5.tar.gz BuildArch: noarch Requires: python3-requests %description # iTunes App Store Scraper This defines a lightweight Python class that can be used to scrape app information from the iTunes App Store. It defines a couple of methods that can be used to get relevant app IDs given a set of parameters, and a couple of methods to then scrape data about these app IDs. Much of this has been adapted from [app-store-scraper](https://github.com/facundoolano/app-store-scraper), a nodeJS-based scraper that does similar things. But this scraper uses Python. ## Getting started The following scrapes app details about all apps similar to the first result for the 'fortnite' search query: ``` from itunes_app_scraper.scraper import AppStoreScraper scraper = AppStoreScraper() results = scraper.get_app_ids_for_query("fortnite") similar = scraper.get_similar_app_ids_for_app(results[0]) app_details = scraper.get_multiple_app_details(similar) print(list(app_details)) ``` Documentation is not available separately yet, but the code is relatively simple and you can look in the `scraper.py` file to see what methods are available and what their parameters are. ## Sources of Data: | Query | Source | URL base | |---------------|------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------| | App | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | Search | Old Affiliates? | https://search.itunes.apple.com/WebObjects/MZStore.woa/wa/search? | | Developer | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | List | [Old Affiliates](https://images.apple.com/itunesaffiliates/guides/AffiliatesSearch_2.7(JSON).pdf) | http://ax.itunes.apple.com/WebObjects/MZStoreServices.woa/ws/RSS/ | | Similar | iTunes store scrape HTML | https://itunes.apple.com/us/app/app/ | | Full Details | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | Ratings | iTunes store scrape HTML | https://itunes.apple.com/lookup? | | ## License This scraper was developed by the [Digital Methods Initiative](https://digitalmethods.net), and is distributed under the MIT license. See LICENSE for details. %package -n python3-itunes-app-scraper-dmi Summary: A lightweight iTunes App Store scraper Provides: python-itunes-app-scraper-dmi BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-itunes-app-scraper-dmi # iTunes App Store Scraper This defines a lightweight Python class that can be used to scrape app information from the iTunes App Store. It defines a couple of methods that can be used to get relevant app IDs given a set of parameters, and a couple of methods to then scrape data about these app IDs. Much of this has been adapted from [app-store-scraper](https://github.com/facundoolano/app-store-scraper), a nodeJS-based scraper that does similar things. But this scraper uses Python. ## Getting started The following scrapes app details about all apps similar to the first result for the 'fortnite' search query: ``` from itunes_app_scraper.scraper import AppStoreScraper scraper = AppStoreScraper() results = scraper.get_app_ids_for_query("fortnite") similar = scraper.get_similar_app_ids_for_app(results[0]) app_details = scraper.get_multiple_app_details(similar) print(list(app_details)) ``` Documentation is not available separately yet, but the code is relatively simple and you can look in the `scraper.py` file to see what methods are available and what their parameters are. ## Sources of Data: | Query | Source | URL base | |---------------|------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------| | App | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | Search | Old Affiliates? | https://search.itunes.apple.com/WebObjects/MZStore.woa/wa/search? | | Developer | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | List | [Old Affiliates](https://images.apple.com/itunesaffiliates/guides/AffiliatesSearch_2.7(JSON).pdf) | http://ax.itunes.apple.com/WebObjects/MZStoreServices.woa/ws/RSS/ | | Similar | iTunes store scrape HTML | https://itunes.apple.com/us/app/app/ | | Full Details | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | Ratings | iTunes store scrape HTML | https://itunes.apple.com/lookup? | | ## License This scraper was developed by the [Digital Methods Initiative](https://digitalmethods.net), and is distributed under the MIT license. See LICENSE for details. %package help Summary: Development documents and examples for itunes-app-scraper-dmi Provides: python3-itunes-app-scraper-dmi-doc %description help # iTunes App Store Scraper This defines a lightweight Python class that can be used to scrape app information from the iTunes App Store. It defines a couple of methods that can be used to get relevant app IDs given a set of parameters, and a couple of methods to then scrape data about these app IDs. Much of this has been adapted from [app-store-scraper](https://github.com/facundoolano/app-store-scraper), a nodeJS-based scraper that does similar things. But this scraper uses Python. ## Getting started The following scrapes app details about all apps similar to the first result for the 'fortnite' search query: ``` from itunes_app_scraper.scraper import AppStoreScraper scraper = AppStoreScraper() results = scraper.get_app_ids_for_query("fortnite") similar = scraper.get_similar_app_ids_for_app(results[0]) app_details = scraper.get_multiple_app_details(similar) print(list(app_details)) ``` Documentation is not available separately yet, but the code is relatively simple and you can look in the `scraper.py` file to see what methods are available and what their parameters are. ## Sources of Data: | Query | Source | URL base | |---------------|------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------| | App | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | Search | Old Affiliates? | https://search.itunes.apple.com/WebObjects/MZStore.woa/wa/search? | | Developer | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | List | [Old Affiliates](https://images.apple.com/itunesaffiliates/guides/AffiliatesSearch_2.7(JSON).pdf) | http://ax.itunes.apple.com/WebObjects/MZStoreServices.woa/ws/RSS/ | | Similar | iTunes store scrape HTML | https://itunes.apple.com/us/app/app/ | | Full Details | [Affiliates API](https://developer.apple.com/library/archive/documentation/AudioVideo/Conceptual/iTuneSearchAPI/index.html) | https://itunes.apple.com/lookup? | | Ratings | iTunes store scrape HTML | https://itunes.apple.com/lookup? | | ## License This scraper was developed by the [Digital Methods Initiative](https://digitalmethods.net), and is distributed under the MIT license. See LICENSE for details. %prep %autosetup -n itunes-app-scraper-dmi-0.9.5 %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-itunes-app-scraper-dmi -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.9.5-1 - Package Spec generated