Requestium: A Python Library that merges the power of Requests, Selenium and Parsel

Requestium is a Python library that merges the power of Requests, Selenium, and Parsel into a single integrated tool for automatizing web actions.

The library was created for writing web automation scripts that are written using mostly Requests but that are able to seamlessly switch to Selenium for the JavaScript heavy parts of the website, while maintaining the session.

Requestium adds independent improvements to both Requests and Selenium, and every new feature is lazily evaluated, so its useful even if writing scripts that use only Requests or Selenium.

Features

• Enables switching between a Requests' Session and a Selenium webdriver while maintaining the current web session.
• Integrates Parsel's parser into the library, making xpath, css, and regex much cleaner to write.
• Improves Selenium's handling of dynamically loading elements.
• Makes cookie handling more flexible in Selenium.
• Makes clicking elements in Selenium more reliable.
• Supports Chrome and PhantomJS.

Installation

pip install requestium

You should then download your preferred Selenium webdriver if you plan to use the Selenium part of Requestium: Chromedriver or PhantomJS

Usage

First create a session as you would do on Requests, and optionally add arguments for the web-driver if you plan to use one.

from requestium import Session, Keys

s = Session(webdriver_path='./chromedriver',
            browser='chrome',
            default_timeout=15,
            webdriver_options={'arguments': ['headless']})

You don't need to parse the response, it is done automatically when calling xpath, css or re.

title = s.get('http://samplesite.com').xpath('//title/text()').extract_first(default='Default Title')

Regex require less boilerplate when compared to Python's standard re module.

response = s.get('http://samplesite.com/sample_path')

# Extracts the first match
identifier = response.re_first(r'ID_\d\w\d', default='ID_1A1')

# Extracts all matches as a list
users = response.re(r'user_\d\d\d')

The Session object is just a regular Requests's session object, so you can use all of its methods.

s.post('http://www.samplesite.com/sample', data={'field1': 'data1'})
s.proxies.update({'http': 'http://10.11.4.254:3128', 'https': 'https://10.11.4.252:3128'})

And you can switch to using the Selenium webdriver to run any js code.

s.transfer_session_cookies_to_driver()  # You can maintain the session if needed
s.driver.get('http://www.samplesite.com/sample/process')

The driver object is a Selenium webdriver object, so you can use any of the normal selenium methods plus new methods added by Requestium.

s.driver.find_element_by_xpath("//input[@class='user_name']").send_keys('James Bond', Keys.ENTER)

# New method which waits for element to load instead of failing, useful for single page web apps
s.driver.ensure_element_by_xpath("//div[@attribute='button']").click()

Requestium also adds xpath, css, and re methods to the Selenium driver object.

if s.driver.re(r'ID_\d\w\d some_pattern'):
    print('Found it!')

And finally you can switch back to using Requests.

s.transfer_driver_cookies_to_session()
s.post('http://www.samplesite.com/sample2', data={'key1': 'value1'})

Selenium workarounds

Requestium adds several 'ensure' methods to the driver object, as Selenium is known to be very finicky about selecting elements and cookie handling.

Wait for element

The ensure_element_by_ methods waits for the element to be loaded in the browser and returns it as soon as it loads. It's named after Selenium's find_element_by_ methods (which immediately raise an exception if they can't find the element).

Requestium can wait for an element to be in any of the following states:

• present (default)
• clickable
• visible
• invisible (useful for things like waiting for loading... gifs to disappear)

These methods are very useful for single page web apps where the site is dynamically changing its elements. We usually end up completely replacing our find_element_by_ calls with ensure_element_by_ calls as they are more flexible.

Elements you get using these methods have the new ensure_click method which makes the click less prone to failure. This helps with getting through a lot of the problems with Selenium clicking.

s.driver.ensure_element_by_xpath("//li[@class='b1']", state='clickable', timeout=5).ensure_click()

# === We also added these methods named in accordance to Selenium's api design ===
# ensure_element_by_id
# ensure_element_by_name
# ensure_element_by_link_text
# ensure_element_by_partial_link_text
# ensure_element_by_tag_name
# ensure_element_by_class_name
# ensure_element_by_css_selector

Add cookie

The ensure_add_cookie method makes adding cookies much more robust. Selenium needs the browser to be at the cookie's domain before being able to add the cookie, this method offers several workarounds for this. If the browser is not in the cookies domain, it GETs the domain before adding the cookie. It also allows you to override the domain before adding it, and avoid making this GET. The domain can be overridden to '', this sets the cookie's domain to whatever domain the driver is currently in.

If it can't add the cookie it tries to add it with a less restrictive domain (Eg.: home.site.com -> site.com) before failing.

cookie = {"domain": "www.site.com",
          "secure": false,
          "value": "sd2451dgd13",
          "expiry": 1516824855.759154,
          "path": "/",
          "httpOnly": true,
          "name": "sessionid"}
s.driver.ensure_add_cookie(cookie, override_domain='')

Considerations

New features are lazily evaluated, meaning:

• The Selenium webdriver process is only started if you call the driver object. So if you don't need to use the webdriver, you could use the library with no overhead. Very useful if you just want to use the library for its integration with Parsel.
• Parsing of the responses is only done if you call the xpath, css, or re methods of the response. So again there is no overhead if you don't need to use this feature.

A byproduct of this is that the Selenium webdriver could be used just as a tool to ease in the development of regular Requests code: You can start writing your script using just the Requests' session, and at the last step of the script (the one you are currently working on) transfer the session to the Chrome webdriver. This way, a Chrome process starts in your machine, and acts as a real time "visor" for the last step of your code. You can see in what state your session is currently in, inspect it with Chrome's excellent inspect tools, and decide what's the next step your session object should take. Very useful to try code in an IPython interpreter and see how the site reacts in real time.

When transfer_driver_cookies_to_session is called, Requestium automatically updates your Requests session user-agent to match that of the browser used in Selenium. This doesn't happen when running Requests without having switched from a Selenium session first though. So if you just want to run Requests but want it to use your browser's user agent instead of the default one (which sites love to block), just run:

s.copy_user_agent_from_driver()

Take into account that doing this will launch a browser process.

Note: The Selenium Chrome webdriver doesn't support automatic transfer of proxies from the Session to the Webdriver at the moment. The PhantomJS driver does though.

Comparison with Requests + Selenium + lxml

A silly working example of a script that runs on Reddit. We'll then show how it compares to using Requests + Selenium + lxml instead of Requestium.

Using Requestium

from requestium import Session, Keys

# If you want requestium to type your username in the browser for you, write it in here:
reddit_user_name = ''

s = Session('./chromedriver', browser='chrome', default_timeout=15)
s.driver.get('http://reddit.com')
s.driver.find_element_by_xpath("//a[@href='https://www.reddit.com/login']").click()

print('Waiting for elements to load...')
s.driver.ensure_element_by_class_name("desktop-onboarding-sign-up__form-toggler",
                      state='visible').click()

if reddit_user_name:
    s.driver.ensure_element_by_id('user_login').send_keys(reddit_user_name)
    s.driver.ensure_element_by_id('passwd_login').send_keys(Keys.BACKSPACE)
print('Please log-in in the chrome browser')

s.driver.ensure_element_by_class_name("desktop-onboarding__title", timeout=60, state='invisible')
print('Thanks!')

if not reddit_user_name:
    reddit_user_name = s.driver.xpath("//span[@class='user']//text()").extract_first()

if reddit_user_name:
    s.transfer_driver_cookies_to_session()
    response = s.get("https://www.reddit.com/user/{}/".format(reddit_user_name))
    cmnt_karma = response.xpath("//span[@class='karma comment-karma']//text()").extract_first()
    reddit_golds_given = response.re_first(r"(\d+) gildings given out")
    print("Comment karma: {}".format(cmnt_karma))
    print("Reddit golds given: {}".format(reddit_golds_given))
else:
    print("Couldn't get user name")

Using Requests + Selenium + lxml

import re
from lxml import etree
from requests import Session
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# If you want requestium to type your username in the browser for you, write it in here:
reddit_user_name = ''

driver = webdriver.Chrome('./chromedriver')
driver.get('http://reddit.com')
driver.find_element_by_xpath("//a[@href='https://www.reddit.com/login']").click()

print('Waiting for elements to load...')
WebDriverWait(driver, 15).until(
    EC.visibility_of_element_located((By.CLASS_NAME, "desktop-onboarding-sign-up__form-toggler"))
).click()

if reddit_user_name:
    WebDriverWait(driver, 15).until(
        EC.presence_of_element_located((By.ID, 'user_login'))
    ).send_keys(reddit_user_name)
    driver.find_element_by_id('passwd_login').send_keys(Keys.BACKSPACE)
print('Please log-in in the chrome browser')

try:
    WebDriverWait(driver, 3).until(
        EC.presence_of_element_located((By.CLASS_NAME, "desktop-onboarding__title"))
    )
except TimeoutException:
    pass
WebDriverWait(driver, 60).until(
    EC.invisibility_of_element_located((By.CLASS_NAME, "desktop-onboarding__title"))
)
print('Thanks!')

if not reddit_user_name:
    tree = etree.HTML(driver.page_source)
    try:
        reddit_user_name = tree.xpath("//span[@class='user']//text()")[0]
    except IndexError:
        reddit_user_name = None

if reddit_user_name:
    s = Session()
    # Reddit will think we are a bot if we have the wrong user agent
    selenium_user_agent = driver.execute_script("return navigator.userAgent;")
    s.headers.update({"user-agent": selenium_user_agent})
    for cookie in driver.get_cookies():
        s.cookies.set(cookie['name'], cookie['value'], domain=cookie['domain'])
    response = s.get("https://www.reddit.com/user/{}/".format(reddit_user_name))
    try:
        cmnt_karma = etree.HTML(response.content).xpath(
            "//span[@class='karma comment-karma']//text()")[0]
    except IndexError:
        cmnt_karma = None
    match = re.search(r"(\d+) gildings given out", str(response.content))
    if match:
        reddit_golds_given = match.group(1)
    else:
        reddit_golds_given = None
    print("Comment karma: {}".format(cmnt_karma))
    print("Reddit golds given: {}".format(reddit_golds_given))
else:
    print("Couldn't get user name")

Similar Projects

This project intends to be a drop-in replacement of Requests' Session object, with added functionality. If your use case is a drop in replacement for a Selenium webdriver, but that also has some of Requests' functionality, Selenium-Requests does just that.

Download Details:
Author: tryolabs
Source Code: https://github.com/tryolabs/requestium
License: BSD-3-Clause License

#selenium #python 

What is GEEK

Buddha Community

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Top 20 Most Useful Python Modules or Packages

 March 25, 2021  Deepak@321  0 Comments

Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.

Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:

1. Web Development
2. Data Science
3. Machine Learning
4. AI and graphical user interfaces.

Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.

#python #packages or libraries #python 20 modules #python 20 most usefull modules #python intersting modules #top 20 python libraries #top 20 python modules #top 20 python packages

Requestium: A Python Library that merges the power of Requests, Selenium and Parsel

Requestium is a Python library that merges the power of Requests, Selenium, and Parsel into a single integrated tool for automatizing web actions.

The library was created for writing web automation scripts that are written using mostly Requests but that are able to seamlessly switch to Selenium for the JavaScript heavy parts of the website, while maintaining the session.

Requestium adds independent improvements to both Requests and Selenium, and every new feature is lazily evaluated, so its useful even if writing scripts that use only Requests or Selenium.

Features

• Enables switching between a Requests' Session and a Selenium webdriver while maintaining the current web session.
• Integrates Parsel's parser into the library, making xpath, css, and regex much cleaner to write.
• Improves Selenium's handling of dynamically loading elements.
• Makes cookie handling more flexible in Selenium.
• Makes clicking elements in Selenium more reliable.
• Supports Chrome and PhantomJS.

Installation

pip install requestium

You should then download your preferred Selenium webdriver if you plan to use the Selenium part of Requestium: Chromedriver or PhantomJS

Usage

First create a session as you would do on Requests, and optionally add arguments for the web-driver if you plan to use one.

from requestium import Session, Keys

s = Session(webdriver_path='./chromedriver',
            browser='chrome',
            default_timeout=15,
            webdriver_options={'arguments': ['headless']})

You don't need to parse the response, it is done automatically when calling xpath, css or re.

title = s.get('http://samplesite.com').xpath('//title/text()').extract_first(default='Default Title')

Regex require less boilerplate when compared to Python's standard re module.

response = s.get('http://samplesite.com/sample_path')

# Extracts the first match
identifier = response.re_first(r'ID_\d\w\d', default='ID_1A1')

# Extracts all matches as a list
users = response.re(r'user_\d\d\d')

The Session object is just a regular Requests's session object, so you can use all of its methods.

s.post('http://www.samplesite.com/sample', data={'field1': 'data1'})
s.proxies.update({'http': 'http://10.11.4.254:3128', 'https': 'https://10.11.4.252:3128'})

And you can switch to using the Selenium webdriver to run any js code.

s.transfer_session_cookies_to_driver()  # You can maintain the session if needed
s.driver.get('http://www.samplesite.com/sample/process')

The driver object is a Selenium webdriver object, so you can use any of the normal selenium methods plus new methods added by Requestium.

s.driver.find_element_by_xpath("//input[@class='user_name']").send_keys('James Bond', Keys.ENTER)

# New method which waits for element to load instead of failing, useful for single page web apps
s.driver.ensure_element_by_xpath("//div[@attribute='button']").click()

Requestium also adds xpath, css, and re methods to the Selenium driver object.

if s.driver.re(r'ID_\d\w\d some_pattern'):
    print('Found it!')

And finally you can switch back to using Requests.

s.transfer_driver_cookies_to_session()
s.post('http://www.samplesite.com/sample2', data={'key1': 'value1'})

Selenium workarounds

Requestium adds several 'ensure' methods to the driver object, as Selenium is known to be very finicky about selecting elements and cookie handling.

Wait for element

The ensure_element_by_ methods waits for the element to be loaded in the browser and returns it as soon as it loads. It's named after Selenium's find_element_by_ methods (which immediately raise an exception if they can't find the element).

Requestium can wait for an element to be in any of the following states:

• present (default)
• clickable
• visible
• invisible (useful for things like waiting for loading... gifs to disappear)

These methods are very useful for single page web apps where the site is dynamically changing its elements. We usually end up completely replacing our find_element_by_ calls with ensure_element_by_ calls as they are more flexible.

Elements you get using these methods have the new ensure_click method which makes the click less prone to failure. This helps with getting through a lot of the problems with Selenium clicking.

s.driver.ensure_element_by_xpath("//li[@class='b1']", state='clickable', timeout=5).ensure_click()

# === We also added these methods named in accordance to Selenium's api design ===
# ensure_element_by_id
# ensure_element_by_name
# ensure_element_by_link_text
# ensure_element_by_partial_link_text
# ensure_element_by_tag_name
# ensure_element_by_class_name
# ensure_element_by_css_selector

Add cookie

The ensure_add_cookie method makes adding cookies much more robust. Selenium needs the browser to be at the cookie's domain before being able to add the cookie, this method offers several workarounds for this. If the browser is not in the cookies domain, it GETs the domain before adding the cookie. It also allows you to override the domain before adding it, and avoid making this GET. The domain can be overridden to '', this sets the cookie's domain to whatever domain the driver is currently in.

If it can't add the cookie it tries to add it with a less restrictive domain (Eg.: home.site.com -> site.com) before failing.

cookie = {"domain": "www.site.com",
          "secure": false,
          "value": "sd2451dgd13",
          "expiry": 1516824855.759154,
          "path": "/",
          "httpOnly": true,
          "name": "sessionid"}
s.driver.ensure_add_cookie(cookie, override_domain='')

Considerations

New features are lazily evaluated, meaning:

• The Selenium webdriver process is only started if you call the driver object. So if you don't need to use the webdriver, you could use the library with no overhead. Very useful if you just want to use the library for its integration with Parsel.
• Parsing of the responses is only done if you call the xpath, css, or re methods of the response. So again there is no overhead if you don't need to use this feature.

A byproduct of this is that the Selenium webdriver could be used just as a tool to ease in the development of regular Requests code: You can start writing your script using just the Requests' session, and at the last step of the script (the one you are currently working on) transfer the session to the Chrome webdriver. This way, a Chrome process starts in your machine, and acts as a real time "visor" for the last step of your code. You can see in what state your session is currently in, inspect it with Chrome's excellent inspect tools, and decide what's the next step your session object should take. Very useful to try code in an IPython interpreter and see how the site reacts in real time.

When transfer_driver_cookies_to_session is called, Requestium automatically updates your Requests session user-agent to match that of the browser used in Selenium. This doesn't happen when running Requests without having switched from a Selenium session first though. So if you just want to run Requests but want it to use your browser's user agent instead of the default one (which sites love to block), just run:

s.copy_user_agent_from_driver()

Take into account that doing this will launch a browser process.

Note: The Selenium Chrome webdriver doesn't support automatic transfer of proxies from the Session to the Webdriver at the moment. The PhantomJS driver does though.

Comparison with Requests + Selenium + lxml

A silly working example of a script that runs on Reddit. We'll then show how it compares to using Requests + Selenium + lxml instead of Requestium.

Using Requestium

from requestium import Session, Keys

# If you want requestium to type your username in the browser for you, write it in here:
reddit_user_name = ''

s = Session('./chromedriver', browser='chrome', default_timeout=15)
s.driver.get('http://reddit.com')
s.driver.find_element_by_xpath("//a[@href='https://www.reddit.com/login']").click()

print('Waiting for elements to load...')
s.driver.ensure_element_by_class_name("desktop-onboarding-sign-up__form-toggler",
                      state='visible').click()

if reddit_user_name:
    s.driver.ensure_element_by_id('user_login').send_keys(reddit_user_name)
    s.driver.ensure_element_by_id('passwd_login').send_keys(Keys.BACKSPACE)
print('Please log-in in the chrome browser')

s.driver.ensure_element_by_class_name("desktop-onboarding__title", timeout=60, state='invisible')
print('Thanks!')

if not reddit_user_name:
    reddit_user_name = s.driver.xpath("//span[@class='user']//text()").extract_first()

if reddit_user_name:
    s.transfer_driver_cookies_to_session()
    response = s.get("https://www.reddit.com/user/{}/".format(reddit_user_name))
    cmnt_karma = response.xpath("//span[@class='karma comment-karma']//text()").extract_first()
    reddit_golds_given = response.re_first(r"(\d+) gildings given out")
    print("Comment karma: {}".format(cmnt_karma))
    print("Reddit golds given: {}".format(reddit_golds_given))
else:
    print("Couldn't get user name")

Using Requests + Selenium + lxml

import re
from lxml import etree
from requests import Session
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# If you want requestium to type your username in the browser for you, write it in here:
reddit_user_name = ''

driver = webdriver.Chrome('./chromedriver')
driver.get('http://reddit.com')
driver.find_element_by_xpath("//a[@href='https://www.reddit.com/login']").click()

print('Waiting for elements to load...')
WebDriverWait(driver, 15).until(
    EC.visibility_of_element_located((By.CLASS_NAME, "desktop-onboarding-sign-up__form-toggler"))
).click()

if reddit_user_name:
    WebDriverWait(driver, 15).until(
        EC.presence_of_element_located((By.ID, 'user_login'))
    ).send_keys(reddit_user_name)
    driver.find_element_by_id('passwd_login').send_keys(Keys.BACKSPACE)
print('Please log-in in the chrome browser')

try:
    WebDriverWait(driver, 3).until(
        EC.presence_of_element_located((By.CLASS_NAME, "desktop-onboarding__title"))
    )
except TimeoutException:
    pass
WebDriverWait(driver, 60).until(
    EC.invisibility_of_element_located((By.CLASS_NAME, "desktop-onboarding__title"))
)
print('Thanks!')

if not reddit_user_name:
    tree = etree.HTML(driver.page_source)
    try:
        reddit_user_name = tree.xpath("//span[@class='user']//text()")[0]
    except IndexError:
        reddit_user_name = None

if reddit_user_name:
    s = Session()
    # Reddit will think we are a bot if we have the wrong user agent
    selenium_user_agent = driver.execute_script("return navigator.userAgent;")
    s.headers.update({"user-agent": selenium_user_agent})
    for cookie in driver.get_cookies():
        s.cookies.set(cookie['name'], cookie['value'], domain=cookie['domain'])
    response = s.get("https://www.reddit.com/user/{}/".format(reddit_user_name))
    try:
        cmnt_karma = etree.HTML(response.content).xpath(
            "//span[@class='karma comment-karma']//text()")[0]
    except IndexError:
        cmnt_karma = None
    match = re.search(r"(\d+) gildings given out", str(response.content))
    if match:
        reddit_golds_given = match.group(1)
    else:
        reddit_golds_given = None
    print("Comment karma: {}".format(cmnt_karma))
    print("Reddit golds given: {}".format(reddit_golds_given))
else:
    print("Couldn't get user name")

Similar Projects

This project intends to be a drop-in replacement of Requests' Session object, with added functionality. If your use case is a drop in replacement for a Selenium webdriver, but that also has some of Requests' functionality, Selenium-Requests does just that.

Download Details:
Author: tryolabs
Source Code: https://github.com/tryolabs/requestium
License: BSD-3-Clause License

#selenium #python 

Top 7 Python Libraries Used For Hacking

python is one of the most go-for languages among the developers due to the availability of open-source libraries and frameworks. According to a survey report, Python is the top language preferred for Statistical Modelling, and an overwhelming majority of practitioners prefer Python as the language for statistical works.

Python has become a favourite language for hackers these days. The reason is the presence of pre-built tools and libraries, which makes hacking easy. In fact, the language is adequate for ethical hacking as ethical hackers need to develop smaller scripts, and Python fulfils this criterion.

Below here, we listed down the top 7 Python libraries used in hacking.

1| Requests

Stars: 43.3k

**About: **Requests is a simple HTTP library for Python that allows a user to send HTTP/1.1 requests extremely easily. This library helps in building robust HTTP applications and includes intuitive features such as automatic content decompression and decoding, connection timeouts, basic & digits authentication, among others.

Know more here.

2| Scapy

Stars: 5.5k

About: Scapy is a powerful Python-based interactive packet manipulation program and library. This library is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, store or read them using pcap files, match requests, and more. It allows the construction of tools that can easily scan or attack networks. It is designed to allow fast packet prototyping by using default values that work. It can also perform tasks such as sending invalid frames, injecting your own 802.11 frames, combining techniques, such as VLAN hopping with ARP cache poisoning, VOIP decoding on WEP encrypted channel, etc., which most other tools cannot.

Know more here.

3| IMpacket

**Stars: **5.3k

**About: **IMpacket is a library that includes a collection of Python classes for working with network protocols. It is focused on providing low-level programmatic access to network packets. It allows Python developers to craft and decode network packets in a simple and consistent manner. The library provides a set of tools as examples of what can be done within the context of this library.

Know more here.

4| Cryptography

**Stars: **3.5k

**About: **Cryptography is a package which provides cryptographic recipes and primitives to Python developers. It includes both high-level recipes and low-level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests and key derivation functions. This library is broadly divided into two levels. One is with safe cryptographic recipes that require little to no configuration choices. The other level is low-level cryptographic primitives, which are often dangerous and can be used incorrectly.

Know more here.

#developers corner #hacking tools #libraries for hacking #python #python libraries #python libraries used for hacking #python tools

4 Cool Python Libraries That You Should Know About

Discover useful Python libraries that you should try out in your next project

Some of my most popular blogs are about Python libraries. I believe that they are so popular because Python libraries have the power to save us a lot of time and headaches. The problem is that most people focus on those most popular libraries but forget that multiple less-known Python libraries are just as good as their most famous cousins.

Finding new Python libraries can also be problematic. Sometimes we read about these great libraries, and when we try them, they don’t work as we expected. If this has ever happened to you, fear no more. I got your back!

In this blog, I will show you four Python libraries and why you should try them. Let’s get started.

#python #coding #programming #cool python libraries #python libraries #4 cool python libraries