A library to identify devices (phones, tablets) and their capabilities by parsing browser user agent strings.
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_agents relies on the excellent ua-parser to do the actual parsing of the raw user agent string.
user-agents is hosted on PyPI and can be installed as such:
pip install pyyaml ua-parser user-agents
Alternatively, you can also get the latest source code from Github and install it manually.
Various basic information that can help you identify visitors can be accessed browser, device and os attributes. For example:
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 capabilitiesis_bot: whether user agent is a search engine crawler/spiderFor example:
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"
python -m unittest discover
ua-parser >= 0.10.0 is required. Thanks @jnozsc!get_device(), get_os() and get_browser() instance methods
to UserAgent. Thanks @rodrigondec!python-user-agents now require ua-parser>=0.9.0. Thanks @jnozsc!python-user-agents now require ua-parser>=0.8.0. Thanks @IMDagger!ua-parser 0.4.0user_agent.device.brand and user_agent.device.modelis_bot propertyDeveloped by the cool guys at Stamps.
FAQs
A library to identify devices (phones, tablets) and their capabilities by parsing browser user agent strings.
We found that user-agents demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.