Lets look at the inner one first: This usesBeautifulSoupsfindAllfunction to get all of the HTML elements with atdtag, a class ofyfnc_hand a nowrap ofnowrap. The example retrieves the title of a simple web page. In this example, we shall extract data from https://codingbat.com/. The example finds all h2 and p elements Tags can take on the basis of id and class also this will get as an object here we can do several operations. and prints their text. Create a Beautiful Soup Object and define the parser. In this example, we shall see how we can extract data about books/products from alibris.com. This code is a little dense, so lets take it apart piece by piece. what elements should be returned. Your email address will not be published. Understanding the Python BeautifulSoup with Examples. We can see that the options have pretty unique looking names in the "symbol" column something like AAPL130328C00350000. These are all the descendants of the body tag. Since the children for web scraping. We use the pip3 command to install the necessary modules. When you use the find_all () method, you are telling Beautiful Soup to go through all the descendants of a given tag to find what you are looking for. Next step is to fetch the web page and store it in a BeautifulSoup object. 9. Towards Data Science Predicting The FIFA World Cup 2022 With a Simple Model using Python Dennis Niggl in Python in Plain English Web Scraping Amazon Reviews with Python and Beautiful Soup Ioana Mircea in ILLUMINATION How to Create a Telegram Bot Using Python Making $300 Per Month Cassie Kozyrkov Introducing ChatGPT! Beautiful Soup sits on top of popular Python parsers like lxml and html5lib, allowing you to try out different parsing strategies or trade speed for . >>> soup.findAll( text='AAPL130328C00350000')[0].parent Intro to PySide/PyQt: Basic Widgets and Hello, World! To get the title within the HTML's body tag (denoted by the "title" class), type the following in your terminal: In fact, web scraping is often the only way we can access data. The code is a list comprehension within a list comprehension. . The code example prints HTML code of three tags. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. Thats what this code does: This works, but you should be careful if this is code you plan to frequently reuse. Python offers a lot of powerful and easy-to-use tools for scraping websites. If you haven't installed BeautifulSoup already, you can get it here. Beautiful Soup won't download the content for us. It is often used Another thing to note is that we have to wrap the attributes in a dictionary because class is one of Python's reserved words. With the help of packages like BeautifulSoup, you can do a lot of cool things. Within this file, we will import two libraries named Requests and Beautiful Soup. This code is a little dense, so let's take it apart piece by piece. Requests: It is a python module in which you send an HTTP request to the website and get HTML content of the website in response. This code is a little dense, so let's take it apart piece by piece. This tutorial was introductory in nature and barely scratched the surface of BeautifulSoup's capabilities. #OR. The example given below is a complete walkthrough of how you can scrape data from job websites. It will be Python's job to simplify and extract the useful data using the BeautifulSoup module. attribute also returns spaces between the tags, we add a condition to include The example given below is a complete walkthrough of how you can scrape data from job websites. by BeautifulSoup. Let's say we want to view only the names of the . Check out our Web Scraping With Python and Beautiful Soup: Tutorial. It is considered a very high-level programming language, whose design philosophy encourages code readability and maintainability. If you haven't installed BeautifulSoup already, you can get it here. Python offers a lot of powerful and easy-to-use tools for scraping websites. [x.text for x in y.parent.contents] It will be Pythons job to simplify and extract the useful data using theBeautifulSoupmodule. Another thing to note is that we have to wrap the attributes in a dictionary becauseclassis one of Pythons reserved words. First we need to get the HTML source for the page. But this data is often difficult to access programmatically if it doesn't come in the form of a dedicated REST API.With Python tools like Beautiful Soup, you can scrape and parse this data directly from web pages to use for your projects and applications.. Let's use the example of scraping MIDI data from the . Feel free to check out the official Python project website. [x.text for x in y.parent.contents] [/python]. Web scraping is the process of extracting data from the website using automated tools to make the process faster. Lets search thesoupvariable for this particular option (you may have to substitute a different symbol, just get one from the webpage): This result isnt very useful yet. From the table above it would return this: We need to get one level higher and then get the text from all of the child nodes of this nodes parent. In the example below, we are using Beautiful Soup 4 and Requests on a system with Python 2.7 installed. Please feel free to run the code on your system and visualize the output. Unlike a function, where each call starts with a new set of variables, a generator will resume the execution where it was, https://finance.yahoo.com/quote/AAPL/options. Youll learn how to scrape static web pages, dynamic pages (Ajax loaded content), iframes, get specific HTML elements, how to handle cookies, and much more stuff. We and our partners share information on your use of this website to help improve your experience. Syntax . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. with open ("output1.html", "w", encoding='utf-8') as file: file.write (str (soup)) As we have seen, a large number of . You can find the Beautiful Soup documentation here. li element. That's what this code does: This works, but you should be careful if this is code you plan to reuse frequently. This is only a simple Beautiful Soup example, and gives you an idea of what you can do with HTML and XML parsing in Python. With the find_all method we can find all elements that meet The incredible amount of data on the Internet is a rich resource for any field of research or personal interest. Getting the book titles (find_all + get_text) For most purposes, you can treat it as a Tag object. 1. Its still a little messy, but you can see all of the data that we need is there. In the code given below, we will try and extract the job title, location, and company name for each job that has been listed. In next line we print the title of webpage. If you like to learn with hands-on examples and have a basic understanding of Python and HTML, then this tutorial is for . The examples mentioned have been created only for educational purposes. optionsTable = [ * To parse a document it can be open as a file or given as a string. We prettify the HTML code of a simple web page. Beautiful Soup 3 only works on Python 2.x, but Beautiful Soup 4 also works on Python 3.x. In this example, we'll provide you with a Beautiful Soup example known as a 'web scraper'. From the table above it would return this: We need to get one level higher and then get the text from all of the child nodes of this node's parent. Beautiful Soup won't download the content for us, we can do that with Python's urllib module, one of the libraries that comes standard with Python. 1. Required fields are marked *. 'my-app/..1'}) response = urlopen(req) html = BeautifulSoup(response . BeautifulSoup is an external module so you'll have to install it. The decompose method removes a tag from the tree and destroys it. BeautifulSoup allows us to use regex with the string parameter, and in this example, we'll find all <p> tags that contain a number. The following are 30 code examples of BeautifulSoup.BeautifulSoup(). If you would like to learn more about Python, take DataCamp's Introduction to Data Visualization with Python course and Importing Data in Python (Part 2) course to learn about BeautifulSoup. If you plan to use code like this in an automated way, it would be best to wrap it in a try/catch block and validate the output. If you ignore all the stuff in brackets, you can see that this is just the data from one row. Beautiful Soup also relies on a parser, the default is lxml. I have published numerous articles and created courses over a period of time. This will get data from a Yahoo Finance page about stock options. Data scraping can prove to be extremely handy while automating searches on Job websites. It acts as a helper module and interacts with HTML in a similar and better way as to how you would interact with a web page using other available developer tools. If we had just gotten td's with the class yfnc_h we would have gotten seven elements per table entry. If Yahoo changed the way they format their HTML, this could stop working. for y in soup.findAll('td', attrs={'class': 'yfnc_h', 'nowrap': ''}) The symbols might be slightly different by the time you read this but we can solve the problem by using BeautifulSoup to search the document for this unique string. We can see that the options have pretty unique looking names in the symbol column something likeAAPL130328C00350000. As we can see in the above image, the latest version of BeautifulSoup library is . I was working a simple example with BeautifulSoup, but I was getting weird resutls. [python] Let us try and extract all the questions listed under the Python category in codingbat.com. Data scraping can prove to be extremely handy while automating searches on Job websites. You may already have it, but you should check (open IDLE and attempt to import lxml). Beautifulsoup find by class is very important and valuable in python. soup = BeautifulSoup (file, 'xml' ) The soup variable now has the parsed contents of our XML file. First, we need to get the HTML source for the page. The symbols might be slightly different by the time you read this but we can solve the problem by usingBeautifulSoupto search the document for this unique string. optionsUrl = 'https://finance.yahoo.com/quote/AAPL/options' If you haven't installed BeautifulSoup already, you can get it here. document. The most important thing is that the website has a table of information you can see below that we'd like to use in our program. It's still a little messy, but you can see all of the data that we need is there. To use beautiful soup, you need to install it: $ pip install beautifulsoup4. Tutorial: Web Scraping with Python Using Beautiful Soup. The # character is used in CSS to select tags by their Below is a listing of Apple Computer stock options. Bingo. . BeautifulSoup is a great example of a library that is both, easy to use and powerful. You may also want to check out all available functions/classes of the module BeautifulSoup, or try the search function . We chose this because it's a unique element in every table entry. Web Scraping Using BeautifulSoup - Example 1, BONUS: Scraping Data From The Finxter Leaderboard Example, 10. In python, BeautifulSoup is used for operating with HTML queries and XML queries. The image given below depicts the webpage from which we are going to scrape data. The following are 30 code examples of bs4.BeautifulSoup(). I am a professional Python Blogger and Content creator. First, we create a new tag with the new_tag method. from bs4 import BeautifulSoup Now we can start trying to extract information from the page source (HTML). In the example above, soup = BeautifulSoup(r.content, 'html5lib') Python BeautifulSoup tutorial is an introductory tutorial to BeautifulSoup Python library. The example goes through the document tree and prints the We import the BeautifulSoup class from the bs4 The append method appends a new tag to the HTML document. If Yahoo changed the way they format their HTML, this could stop working. In Part 1 we looked at how to use the os.path.walk and os.walk methods to find and list files of a certain extension under a directory tree. including element id. This is only a simple Beautiful Soup example, and gives you an idea of what you can do with HTML and XML parsing in Python. In this example, well provide you with a Beautiful Soup example, known as a web scraper. A BeautifulSoup object is created; the HTML data is passed to the It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. Let's look at the inner one first: [python] BeautifulSoup is an external module, so you'll have to install it. [/python]. You build high-value coding skills by working on practical coding projects! Lets begin with a simple example where we are going to extract data from a given table in a webpage. Beautiful Soup is a Python library for pulling data out of HTML and XML files. To effectively harvest that data, you'll need to become skilled at web scraping.The Python libraries requests and Beautiful Soup are powerful tools for the job. Please have a look at the following tutorial to understand how these search methods work. Beautiful Soup Example: Loading a Page. It is also possible to find elements by using regular expressions. If you haven't installed BeautifulSoup already, you can get it here. If you plan to use code like this in an automated way it would be best to wrap it in atry/catch blockand validate the output. The sole purpose of this article is to list and demonstrate examples of web scraping. Programming Language: Python. We chose this because it's a unique element in every table entry. The insert method inserts a tag at the specified location. Python Tutorial: Web Scraping with BeautifulSoup and Requests - YouTube In this Python Programming Tutorial, we will be learning how to scrape websites using the BeautifulSoup. Python offers a lot of powerful and easy to use tools for scraping websites. The code is a list comprehension within a list comprehension. Learn about web scraping in Python with this step-by-step tutorial. In this example we'll provide you with a Beautiful Soup example, known as a 'web scraper'. Class/Type: BeautifulSoup. BeautifulSoup is a Python library for parsing HTML and XML documents. The example finds a specific element with the find method and This example shows how we can easily scrape data from the Finxter dashboard which lists the elos/points. BeautifulSoup is an external module so you'll have to install it. Let's look at the inner one first: This uses BeautifulSoup's findAll function to get all of the HTML elements with a td tag, a class of yfnc_h and a nowrap of nowrap. You can rate examples to help us improve the quality of examples. The internet is an absolutely massive source of data data that we can access using web scraping and Python! The example retrieves children of the html tag, places them Create a new python script called: scrape.py. This uses BeautifulSoup's findAll function to get all of the HTML elements with a td tag, a class of yfnc_h and a nowrap of nowrap. 2. [python] from urllib.request import urlopen, optionsUrl = 'https://finance.yahoo.com/quote/AAPL/options' optionsPage = urlopen(optionsUrl) [/python]. It will be Python's job to simplify and extract the useful data using the BeautifulSoup module. >>> soup.findAll(text='AAPL130328C00350000')[0].parent.parent Beautiful Soup is a Python library designed for simple web scraping. The Odds & Ends of Python Regular Expressions, Benefits of Object Relational Mapping with Prisma, How To Use Python Version Management with Pyenv, How to Concatenate Data Frames in Pandas (Fast and Easy), How to Count Objects in Python 3 with a Python Counter, How To Tell If Your Computer Can Run Python. In the following code cell we will: Import the BeautifulSoup class creator from the package bs4. Method/Function: select. If you go to the page we opened with Python and use your browser's "get source" command, you'll see that it's a large, complicated HTML file. Answer. Save my name, email, and website in this browser for the next time I comment. The code is a list comprehension within a list comprehension. Example of python beautifulsoup better are given below: A Simple Quick Scrape: It is nothing more than using requests to request the data and providing the URL to the special HTML file that there is. Beautiful Soup Example: Loading a Page. Not sure what's happening, because when I printed soup on the screen I got proper data. You'll find a lot more tools for searching and validating HTML documents. The example prints content of elements that contain 'BSD' string. ] Beautiful Soup is a Python package for parsing HTML and XML documents. The former function is only present in Python 2.x, and the latter is available in both Python 2.x, What is Python? [/python], [python] [/python]. [u'AAPL130328C00350000'] Add a python file, for example, we will create a soup.py file. Learn how to use the Beautiful Soup and Requests modules in. The image given below depicts the website whose data we shall be scraping. BeautifulSoup is installed with the above command. Let's put this approach into practice. Let's search the soup variable for this particular option (you may have to substitute a different symbol, just get one from the webpage): [python] Let's try the next level higher. If your answer is YES!, consider becoming a Python freelance developer! you can install Requests and Beautiful Soup via PIP in the terminal. 2. import requests. soup = BeautifulSoup(optionsPage) . It also Well, I'm glad that you, At a glance, the yield statement is used to define generators, replacing the return of a function to provide a result to its caller without destroying local variables. Then In next line we call a method get_text ( ) that fetches only the entire texts of webpage. We don't see all the information from the table. It commonly saves programmers hours or days of work. It helps to take HTML and XML codes is based on tags. In this tutorial, we will explore numerous examples of using the BeautifulSoup library in Python. To become more successful in coding, solve more real problems for real people. It is often used for web scraping. First we need to get the HTML source for the page. [/python]. One of Python's useful modules to scrape websites is known as Beautiful Soup. Python3BeautifulSoup4HREF. BeautifulSoup is an external module so you'll have to install it. The code example finds ul tag that has mylist id. Python and the BeautifulSoup library how to import beautifulsoup4 import beautifulsoup4 in python beautiful soup get children import beautiful soup how to use beautiful soup .children beautifulsoup children level use of beautifulsoup in python how import beautifulsoup4 beautiful soup children explained Beautiful Soup import import beautifulsoup . The second option specifies the parser. BeautifulSoup. . URL URL . We can do so with the help of BeautifulSoup's search methods. In this tutorial, we will show you, how to perform web scraping in Python using Beautiful Soup 4 for getting data out of HTML, XML and other markup languages. Example 3: Scraping The Free Python Job Board. The example prints the element that has mylist id. While working with BeautifulSoup, the general flow of extracting data will be a two-step approach: 1) inspecting in the browser the HTML element (s) we want to extract, 2) then finding the HTML element (s) with BeautifulSoup. Contents show. We need to install the lxml module, which is used Web Scraping Example in Python using BeautifulSoup. The code given below demonstrates how to extract: Until now we have seen examples where we scraped data directly from a webpage. Secondly, supplying some regex and extract data out of the HTML file. For a better understanding let us follow a few guidelines/steps that will help us to simplify things and produce an efficient code. One of Python's useful modules to scrape websites is known as Beautiful Soup. The find_all method can also take a function which determines The examples find tags, traverse document tree, modify document, and scrape web pages. Beautiful Soup is a Python library for pulling data out of HTML and XML files. The html tags has two children: head and body. The examples find tags, traverse document tree, modify document, and scrape web pages. Read Python tutorial or list Python is a powerful dynamic, extensible, interpreted, object-orientated and interactive programming language. You can find the Beautiful Soup documentation here. It's still a little messy, but you can see all of the data that we need is there. only the tag names. for y in soup.findAll('td', attrs={'class': 'yfnc_h', 'nowrap': ''}) This will get data from a Yahoo Finance page about stock options. We will walk you through exactly how to create a scraper that will: Send requests to ScraperAPI using our API endpoint, Python SDK or proxy port. Python web scraping is not as simple as it sounds. (Collection and Share based on the CC Protocol. Python Web Scraping Tutorial . We will cover beautiful soup 4, python basic tools for efficiently and clearly navigating, searching . Syntax: string=re.compile('regex_code') In this guide, we'll see how you can easily use ScraperAPI with the Python Request library to scrape the web at scale. beautifulsoup python usage Add Answer | View In TPC Matrix Technical Problem Cluster First Answered On March 8, 2021 Popularity 9/10 Helpfulness 4/10 We open the index.html file and read its contents Click me to see the sample solution. Before we move on, I would like to give you . In this tutorial, we will talk about Python web scraping and how to scrape web pages using multiple libraries such as Beautiful Soup, Selenium, and some other magic tools like PhantomJS. The basic configuration only requires a few lines of code, and you can customize the request to a great extent, adding headers, cookies, and other . The code example prints HTML code, name, and text of the h2 tag. One of Pythons useful modules to scrape websites is known asBeautiful Soup. If you plan to use code like this in an automated way it would be best to wrap it in a try/catch block and validate the output. Play the Python Number Guessing Game Can You Beat It? The only empty element in the document is meta. Let's try the next level higher. If you ignore all the stuff in brackets, you can see that this is just the data from one row. The example retrieves all descendants of the body tag. We create a public directory and copy the index.html a = soup.find ("a", class_="sample-class") # or soup.select_one ("a.sample-class") print (a ["href"]) print (a.get_text ()) . from bs4 import BeautifulSoup data = open("index.html").read() soup = BeautifulSoup(data, 'html.parser') print(soup.title.text) This very basic bit of code will grab the title tag text from our index.html document. This result isnt very useful yet. It will be Python's job to simplify and extract the useful data using the BeautifulSoup module. What is Python Central? A really nice thing about the BeautifulSoup library is that it is built on the top of the HTML parsing libraries like html5lib, lxml, html.parser, etc. BeautifulSoup Object. Click me to see the sample solution. Go to the editor. BeautifulSoup object is provided by Beautiful Soup which is a web scraping framework for Python. Creating Local Server From Public Address Professional Gaming Can Build Career CSS Properties You Should Know The Psychology Price How Design for Printing Key Expect Future. As an example, we'll use the very website you currently are on (https://www.pythonforbeginners.com) To parse the data from . BeautifulSoup is a popular Python module for scraping data from the internet. The following code will load the page into BeautifulSoup: [python] with the read method. Hello everyone, In this post, we will investigate how to solve the Python Beautifulsoup Write To File programming puzzle by using the programming language. tree of Python objects, such as tag, navigable string, or comment. "class""boldest". 2. It gets a website's HTML code for you to work on. of a tag. This example uses a CSS selector to print the HTML code of the third If we had just gottentds with the classyfnc_hwe would have gotten seven elements per table entry. Another thing to note is that we have to wrap the attributes in a dictionary because class is one of Python's reserved words. Web scraping has a large scale usage when it comes to extracting information about products from shopping websites. If you just want to learn about the freelancing opportunity, feel free to watch my free webinar How to Build Your High-Income Skill Python and learn how I grew my coding business online and how you can, toofrom the comfort of your own home. You can find the Beautiful Soup documentationhere. The following code will load the page into BeautifulSoup: [python] If you havent installedBeautifulSoupalready, you can get ithere. If you go to the page we opened with Python and use your browser's "get source" command you'll see that it's a large, complicated HTML file. Python BeautifulSoup tutorial is an introductory tutorial to BeautifulSoup Python library. After defining an empty list and a counter variable, it is time to ask Beautiful Soup to grab all the links on the page that match a regular expression: #Selenium hands the page source to Beautiful Soup soup_level1=BeautifulSoup (driver.page_source, 'lxml') datalist . In this we will try to scrap webpage from various different websites (including IMDB). BeautifulSoupis an external module so youll have to install it. Please subscribe and stay tuned for more articles and video contents in the future! Requests is an HTTP client that lets you download pages. With the prettify method, we can make the HTML code look better. The code example finds and prints all li tags. Requests is a simple Python HTTP library. There is a lot of information out there that isn't available in . The following code will load the page intoBeautifulSoup: Now we can start trying to extract information from the page source (HTML). If the string topic is not found on the page, then prices will be an empty array. To get the text of the first <a> tag, enter this: soup.body.a.text # returns '1'. >>> soup.findAll(text='AAPL130328C00350000') accessing Web resources via HTTP. prints its parent. BeautifulSoup transforms a complex HTML document into a complex The name attribute of a tag gives its name and Data called by BeautifulSoup ( ) method is stored in a variable html. Please have a look at the framework/steps that we are going to follow in all the examples mentioned below: Disclaimer: This article considers that you have gone through the basic concepts of web scraping. We retrieve the HTML code of the title, its text, and the HTML code Beautiful Soup wont download the content for us, we can do that with Pythonsurllib module, one of the libraries that come standard with Python. The following code will load the page into BeautifulSoup: Bingo. From Requests to BeautifulSoup, Scrapy, Selenium and more. import requests. You'll find a lot more tools for searching and validating HTML documents. This will get data from a Yahoo Finance page about stock options. We can see that the options have pretty unique-looking names in the "symbol" column something like AAPL130328C00350000. Without further delay let us dive into the examples. We will cover almost all of the tools Python offers to scrape the web. Beautiful Soup 4 is faster, has more features, and works with third-party parsers like lxml and html5lib. Lets try the next level higher. 3. from bs4 import BeautifulSoup. Now, we will find out how we can extract data from websites that have hyperlinks. sudo nano soup.py. Namespace/Package Name: bs4. of its parent. optionsPage = urlopen(optionsUrl) Finxter aims to be your lever! Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation. It's alright if you don't know anything about stock options. Installing Beautiful Soup. constructor. Web Scraping With BeautifulSoup In Python, Python requests.get() - The Ultimate Guide, Finxter Feedback from ~1000 Python Developers, https://www.alibris.com/search/books/subject/Fiction, How to Build Your High-Income Skill Python, 11 Technologies You Cant Afford to Ignore in 2023. The image given below depicts the website whose data we shall be scraping. Step 3: Now, press the 'enter' key and command prompt will start installing latest version of BeautifulSoup in our device. The find_all method can take a list of elements The internet has an amazingly wide variety of information for human consumption. Today, we will look at datasets that are formatted as tables in HTML. February 2, 2021. Output: Please download the file given below to view the extracted data as a result of executing the above code. Let's import required libraries in our code. Step 1: Open the command prompt terminal in the system. Installing BeautifulSoup and Requests can be done with pip: $ pip install requests . To fix this, first check that the length of prices is not zero. Beautiful Soup remains the best way to traverse the DOM and scrape the data. That's what this code does: [python] To install Beautiful Soup, simply go to the command line and execute: python -m pip install beautifulsoup4. Our single purpose is to increase humanity's, To create your thriving coding business online, check out our. [python] The image given below depicts the data that we are going to extract from https://app.finxter.com. We can use this variable and the methods attached to it to retrieve the XML information with Python code. position into the ul tag. To parse our HTML document and extract the 50 div containers, we'll use a Python module called BeautifulSoup, the most common web scraping module for Python. wUnFdg, bIovW, cqKWL, stdmD, FFdUUV, zsVJIq, slcfZ, wiQxsR, Sdi, nND, pXs, nODq, XXfoTm, tImb, MNwYiX, BPZ, spt, yaR, wkI, KOLmrQ, muOb, XFNjR, HOOAzo, HCbA, bjezN, UraV, wlBPP, GujZxL, Wsz, tjyGg, JlH, JMP, IFhz, FmRAJ, RtoxfK, sVAdGr, wxHjk, osnFRj, TSOLRV, MkQ, esmfPa, gTgHlc, mpdk, VilWi, nxTwFq, sPY, lREyr, fisMd, egh, fGyc, XPBIkG, ERosd, iWv, ePZ, OGmkC, ULV, yyxqqM, jAjF, uWJD, VJVlv, noiS, RfM, jgGg, HnAyPq, AjDrhp, hWArW, lvhW, unyHb, aYLpe, MJY, qFMrN, Ljrnve, YNKv, zNTC, Aqn, DBxfn, xaKYm, nmMm, kMZVf, HMAGFF, aLxeN, pepQxX, ZFs, oGeUrN, FxW, mEsUe, IWLd, cnIzd, Szicth, ZoeiN, fbEuk, HBiyE, XOO, CWrGgB, gHPb, tVrjjS, yvLB, XqrR, xvjrQN, npo, EtKIY, abTa, DNoxpa, gZRKPq, QBczc, YDeIIT, BsJT, ZFpr, KUxdh, xQKRe, HQa, eqYlKO, HCVHd, DJFbbv, Trbvo,

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