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%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 <Python_Bot@openeuler.org> - 0.9.5-1
- Package Spec generated
|
