Gather market data into a machine readable form from iTunes store data.
The easiest way is pip: pip3 install appintel
.
Use the -h
for options:
$ itunizer -h
usage: appintel [-h] [-s SEARCH_TERM] [-c CATEGORY_LOCATION] [-p] [-n] [-t]
[--country STORE_COUNTRY] [--version]
collects and processes app store data including ibook, application, and other
store items with metadata, example: itunizer -c ibook -s "corn" -t
optional arguments:
-h, --help show this help message and exit
-s SEARCH_TERM, --search SEARCH_TERM
search term to search itunes store for (default:
nginx)
-c CATEGORY_LOCATION, --category CATEGORY_LOCATION
category in store to search for (default: software)
-p, --print print to screen results, helpful for testing (default:
False)
-n, --no-logo disables printing logo (default: False)
-t, --table prints out table as format for data (default: False)
--country STORE_COUNTRY
the store country you want to use for search results
(default: us)
--version, -v prints the version (default: False)
It is difficult to get nice structured data from Apple. This helps with that.