In this video, we are going to write a Python program to web scrape free course information from Udmey’s website and save the information in a CSV file.
If you are new to web scraping or is simply looking more practice, then you will find this tutorial useful. Before getting started, makes sure you have 1) web driver downloaded, 2) web scraping Python libraries installed.
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.
I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:
So I tried
pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.
I then tried
which is based onyowsupand require you to do some registration with
yowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.
I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.
PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.
So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.
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Web scraping has been used to extract data from websites almost from the time the World Wide Web was born. In the early days, scraping was mainly done on static pages — those with known elements, tags, and data.
More recently, however, advanced technologies in web development have made the task a bit more difficult. In this article, we’ll explore how we might go about scraping data in the case that new technology and other factors prevent standard scraping.
As most websites produce pages meant for human readability rather than automated reading, web scraping mainly consisted of programmatically digesting a web page’s mark-up data (think right-click, View Source), then detecting static patterns in that data that would allow the program to “read” various pieces of information and save it to a file or a database.
Courtesy of the author.
If report data were to be found, often, the data would be accessible by passing either form variables or parameters with the URL. For example:
Python has become one of the most popular web scraping languages due in part to the various web libraries that have been created for it. One popular library, Beautiful Soup, is designed to pull data out of HTML and XML files by allowing searching, navigating, and modifying tags (i.e., the parse tree).
Recently, I had a scraping project that seemed pretty straightforward and I was fully prepared to use traditional scraping to handle it. But as I got further into it, I found obstacles that could not be overcome with traditional methods.
Three main issues prevented me from my standard scraping methods:
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The Beautiful Soup module is used for web scraping in Python. Learn how to use the Beautiful Soup and Requests modules in this tutorial. After watching, you will be able to start scraping the web on your own.
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=87Gx3U0BDlo&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=12
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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