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Metadata-Version: 2.1 Name: user-agents Version: 2.2.0 Summary: A library to identify devices (phones, tablets) and their capabilities by parsing browser user agent strings. Home-page: https://github.com/selwin/python-user-agents Author: Selwin Ong Author-email: selwin.ong@gmail.com License: MIT Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Web Environment Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Topic :: Internet :: WWW/HTTP Classifier: Topic :: Software Development :: Libraries :: Python Modules Description-Content-Type: text/markdown Requires-Dist: ua-parser (>=0.10.0) Python User Agents ================== `user_agents` is a Python library that provides an easy way to identify/detect devices like mobile phones, tablets and their capabilities by parsing (browser/HTTP) user agent strings. The goal is to reliably detect whether: * User agent is a mobile, tablet or PC based device * User agent has touch capabilities (has touch screen) `user_agents` relies on the excellent [ua-parser](https://github.com/ua-parser/uap-python) to do the actual parsing of the raw user agent string. Installation ------------  `user-agents` is hosted on [PyPI](http://pypi.python.org/pypi/user-agents/) and can be installed as such: pip install pyyaml ua-parser user-agents Alternatively, you can also get the latest source code from [Github](https://github.com/selwin/python-user-agents) and install it manually. Usage ----- Various basic information that can help you identify visitors can be accessed `browser`, `device` and `os` attributes. For example: ```python from user_agents import parse # iPhone's user agent string ua_string = 'Mozilla/5.0 (iPhone; CPU iPhone OS 5_1 like Mac OS X) AppleWebKit/534.46 (KHTML, like Gecko) Version/5.1 Mobile/9B179 Safari/7534.48.3' user_agent = parse(ua_string) # Accessing user agent's browser attributes user_agent.browser # returns Browser(family=u'Mobile Safari', version=(5, 1), version_string='5.1') user_agent.browser.family # returns 'Mobile Safari' user_agent.browser.version # returns (5, 1) user_agent.browser.version_string # returns '5.1' # Accessing user agent's operating system properties user_agent.os # returns OperatingSystem(family=u'iOS', version=(5, 1), version_string='5.1') user_agent.os.family # returns 'iOS' user_agent.os.version # returns (5, 1) user_agent.os.version_string # returns '5.1' # Accessing user agent's device properties user_agent.device # returns Device(family=u'iPhone', brand=u'Apple', model=u'iPhone') user_agent.device.family # returns 'iPhone' user_agent.device.brand # returns 'Apple' user_agent.device.model # returns 'iPhone' # Viewing a pretty string version str(user_agent) # returns "iPhone / iOS 5.1 / Mobile Safari 5.1" ``` `user_agents` also expose a few other more "sophisticated" attributes that are derived from one or more basic attributes defined above. As for now, these attributes should correctly identify popular platforms/devices, pull requests to support smaller ones are always welcome. Currently these attributes are supported: * `is_mobile`: whether user agent is identified as a mobile phone (iPhone, Android phones, Blackberry, Windows Phone devices etc) * `is_tablet`: whether user agent is identified as a tablet device (iPad, Kindle Fire, Nexus 7 etc) * `is_pc`: whether user agent is identified to be running a traditional "desktop" OS (Windows, OS X, Linux) * `is_touch_capable`: whether user agent has touch capabilities * `is_bot`: whether user agent is a search engine crawler/spider For example: ```python from user_agents import parse # Let's start from an old, non touch Blackberry device ua_string = 'BlackBerry9700/5.0.0.862 Profile/MIDP-2.1 Configuration/CLDC-1.1 VendorID/331 UNTRUSTED/1.0 3gpp-gba' user_agent = parse(ua_string) user_agent.is_mobile # returns True user_agent.is_tablet # returns False user_agent.is_touch_capable # returns False user_agent.is_pc # returns False user_agent.is_bot # returns False str(user_agent) # returns "BlackBerry 9700 / BlackBerry OS 5 / BlackBerry 9700" # Now a Samsung Galaxy S3 ua_string = 'Mozilla/5.0 (Linux; U; Android 4.0.4; en-gb; GT-I9300 Build/IMM76D) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30' user_agent = parse(ua_string) user_agent.is_mobile # returns True user_agent.is_tablet # returns False user_agent.is_touch_capable # returns True user_agent.is_pc # returns False user_agent.is_bot # returns False str(user_agent) # returns "Samsung GT-I9300 / Android 4.0.4 / Android 4.0.4" # iPad's user agent string ua_string = 'Mozilla/5.0(iPad; U; CPU iPhone OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B314 Safari/531.21.10' user_agent = parse(ua_string) user_agent.is_mobile # returns False user_agent.is_tablet # returns True user_agent.is_touch_capable # returns True user_agent.is_pc # returns False user_agent.is_bot # returns False str(user_agent) # returns "iPad / iOS 3.2 / Mobile Safari 4.0.4" # Kindle Fire's user agent string ua_string = 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_3; en-us; Silk/1.1.0-80) AppleWebKit/533.16 (KHTML, like Gecko) Version/5.0 Safari/533.16 Silk-Accelerated=true' user_agent = parse(ua_string) user_agent.is_mobile # returns False user_agent.is_tablet # returns True user_agent.is_touch_capable # returns True user_agent.is_pc # returns False user_agent.is_bot # returns False str(user_agent) # returns "Kindle / Android / Amazon Silk 1.1.0-80" # Touch capable Windows 8 device ua_string = 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Trident/6.0; Touch)' user_agent = parse(ua_string) user_agent.is_mobile # returns False user_agent.is_tablet # returns False user_agent.is_touch_capable # returns True user_agent.is_pc # returns True user_agent.is_bot # returns False str(user_agent) # returns "PC / Windows 8 / IE 10" ``` Running Tests ------------- python -m unittest discover Changelog --------- ### Version 2.2.0 (2020-08-23) * `ua-parser` >= 0.10.0 is required. Thanks @jnozsc! * Added `get_device()`, `get_os()` and `get_browser()` instance methods to `UserAgent`. Thanks @rodrigondec! ### Version 2.1 (2020-02-08) * `python-user-agents` now require `ua-parser>=0.9.0`. Thanks @jnozsc! * Properly detect Chrome Mobile browser families. Thanks @jnozsc! ### Version 2.0 (2019-04-07) * `python-user-agents` now require `ua-parser>=0.8.0`. Thanks @IMDagger! ### Version 1.1 * Fixes packaging issue ### Version 1.0 * Adds compatibility with `ua-parser` 0.4.0 * Access to more device information in `user_agent.device.brand` and `user_agent.device.model` ### Version 0.3.2 * Better mobile detection * Better PC detection ### Version 0.3.1 * user\_agent.is\_mobile returns True when mobile spider is detected ### Version 0.3.0 * Added **str**/**unicode** methods for convenience of pretty string ### Version 0.2.0 * Fixed errors when running against newer versions if ua-parser * Support for Python 3 ### Version 0.1.1 * Added `is_bot` property * Symbian OS devices are now detected as a mobile device ### Version 0.1 * Initial release Developed by the cool guys at [Stamps](http://stamps.co.id).