appintel
What
Gather market data into a machine readable form from iTunes store data.
Install
The easiest way is pip: pip3 install appintel.
Usage
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)
Why?
It is difficult to get nice structured data from Apple. This helps with that.
Example search
Metadata
Release files for appintel 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| appintel-1.0.2.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| appintel-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.4 kB
Release files / appintel-1.0.2.tar.gz
| Download URL | appintel-1.0.2.tar.gz |
|---|---|
| Size | 15.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
069bdce227ad29fb22486b2096c4a077d8b75800174b199a0d2e5b5b46195b8d
|
|
BLAKE2b-256 checksum How to use checksums |
b20860822a896576761e8b5db2ffd5351602b935ff06ed077f0bb001121143db
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.7 Darwin/23.4.0
|
Release files / appintel-1.0.2-py3-none-any.whl
| Download URL | appintel-1.0.2-py3-none-any.whl |
|---|---|
| Size | 16.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
56388b0ddba29ae8f2773b1dd7ebb57b6c790542def6cfb74db899cb778b2f16
|
|
BLAKE2b-256 checksum How to use checksums |
08a81eca023231d79bb25ff0feb1064700b30e9b15dfc30a74e09689fa39c7d3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.7 Darwin/23.4.0
|