A library to generate random user-agent
Project description
Cherry UserAgent (cherry-ua)
This is an advanced search and generate user agent python library, the user agents can be generated based on various search parameters, it supports an advanced form of applying search filters.
Database
It uses Whatismybrowser premium database which consists of more than 91+ Million user agents, which ensures everytime it generates unique random user agents.
Compatibility
The library uses as much as possible inbuilt modules, so it support all major python version.
Installation
pip install fake-useragent
Usage
The simplest way to use this library is:
from cherry_ua import UserAgent
ua = UserAgent()
ua.get_random()
To refresh the User Agent dataset
ua.refresh()
To get the size of User Agent dataset
ua.size()
To get specifc search filter query
ua.get('device')
To set specific search filter query
ua.set('device', 'eq("mobile")')
To get all the search filters
ua.get_all_filters()
To set multiple searcg filter queries
ua.set_search_filters(device='eq("mobile")')
Search Filters
The UserAgent class support’s multiple search parameters which can be used to get only the user agent which satisfies your requirements. The parameters are:
device
Datatype : StringSupported Operators : eq, ne, containsDescription : This Signifies for which type of device you want user agent for.
ua = UserAgent(device="eq('mobile')")
# or
ua.set('device', "eq('mobile')")
# or
ua.set_search_filters(device="eq('mobile')")
os_name
Datatype : StringSupported Operators : eq, ne, containsDescription : This Signifies for which OS (operating system) you want user agent for.
ua = UserAgent(os_name="eq('windows')")
# or
ua.set('os_name', "eq('windows')")
# or
ua.set_search_filters(os_name="eq('windows')")
os_version
Datatype : IntegerSupported Operators : eq, lt, lte, gt, gte, neDescription : This Signifies for which OS version you want user agent for.> This is an Integer field, so it won’t take quotes inside the operator’s
ua = UserAgent(os_version="eq(8)")
# or
ua.set('os_version', "eq(8)")
# or
ua.set_search_filters(os_version="eq(8)")
browser
Datatype : StringSupported Operators : eq, ne, containsDescription : This Signifies for which browser you want user agent for.
ua = UserAgent(browser="eq('chrome')")
# or
ua.set('browser', "eq('chrome')")
# or
ua.set_search_filters(browser="eq('chrome')")
browser_engine
Datatype : StringSupported Operators : eq, ne, containsDescription : This Signifies for which type of device you want user agent for.
ua = UserAgent(browser_engine="eq('blink')")
# or
ua.set('browser_engine', "eq('blink')")
# or
ua.set_search_filters(browser_engine="eq('blink')")
browser_version
Datatype : IntegerSupported Operators : eq, lt, lte, gt, gte, neDescription : This Signifies for which type of device you want user agent for.
ua = UserAgent(browser_version="eq(90)")
# or
ua.set('browser_version', "eq(90)")
# or
ua.set_search_filters(browser_version="eq(90)")
limit
Datatype : IntegerSupported Operators : eq, lt, lte, gt, gte, neDescription : This Signifies for which type of device you want user agent for.Note: Limit should be in the range of 1-10000
ua = UserAgent(limit=1000)
# or
ua.set('limit', 1000)
# or
ua.set_search_filters(limit=1000)
Search Filter Operators
To add the support for relative searching the filter’s support some operators just like SQL, which gives the flexibility to seearch in more customized way, the operators it supports are:
Note: More complex filter can result in less number of user agents as compared to what limit is set
eq
Supported datatype : String, IntegerDescription : This operator matches the exact value given
ua.set('device', "eq('mobile')")
# matches user agent whose device is mobile
lt
Supported datatype : IntegerDescription : This operator matches if the value of field is less than the given value
ua.set('os_version', "lt(8)")
# matches user agent whose os version is less than 8
gt
Supported datatype : IntegerDescription : This operator matches if the value of field is greater than the given value
ua.set('os_version', "gt(8)")
# matches user agent whose os version is greater than 8
lte
Supported datatype : IntegerDescription : This operator matches if the value of field is less or equal to the given value
ua.set('os_version', "lte(8)")
# matches user agent whose os version is less or equal to 8
gte
Supported datatype : IntegerDescription : This operator matches if the value of field is greater or equal to the given value
ua.set('os_version', "gte(8)")
# matches user agent whose os version is greater or equal to 8
ne
Supported datatype : String, IntegerDescription : This operator matches if the value of field is not equal to the given value
ua.set('device', "ne('mobile')")
# matches user agent whose device is not equal to mobile
contains (beta)
Supported datatype : StringDescription : This operator matches if the field value contains the given value> This is still is beta stage, so might not work as you expect
ua.set('device', "eq('mobile')")
# matches user agent whose device contains the word "mobile"
Operator Chaining
The filter query also supports if you want to chain multiple operators, the supported operator chaining are:
and
Description : The “and” operator chains multiple operator describing as it should matches all the operator values.
ua.set('device', "ne('mobile').and.ne('pc')")
# It matches user agent which has device value not equal to mobile and pc
# It can also be used to chaining multiple different operators
ua.set('os_version', "gt(5).and.lt(8)")
# It matches user agents which has os version greater than 5 and less than 8
or
Description : The “or” operator chains multiple operator describing as it should matches any one of the operator values.
ua.set('device', "ne('mobile').or.ne('pc')")
# It matches user agent which has device value not equal to mobile or pc
# It can also be used to chaining multiple different operators
ua.set('os_version', "eq(5).or.gt(8)")
# It matches user agents which has os version equal to 5 or greater than 8
UserAgent class Functions
Function |
Parameters |
Description |
Returns |
get_random() |
Returns random user agent based on given search parameters if given. |
String |
|
refresh() |
Download and loads fresh set of User agent |
||
size() |
Return size of user agent downloaded dataset |
Integer |
|
get() |
(filter_name : str) |
Returns value of given search parameters |
String |
set() |
(filter_name : str, query : str) |
Sets specific given search parameter |
|
get_all_filters() |
Returns all the search filters |
Dict |
|
set_search_filters() |
(kwargs) |
Sets multiple search parameters |
Issues
If facing any issues in the library usage, please feel free to raise the issue in github issue tracker, since i am the only sole developer of this project it might get delayed to get it resolved but i’ll definetly try to resolve it.
Donate :pray:
This library itself doesn’t need much maintenance, but since i am using a premium server to ensure faster and better API performance to search and get user agents, so i have to pay bills to keep it running, as i committed to keep it running but with a certain limitation, which i will remove if i get enough donation to support this open source project and also i will publish the server side code once it gets enough popularity so that others can also look into it, and may suggest some improvements.
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