Anthony  Dach

Anthony Dach

1627036740

Web Scraping with Selenium in Python

Often, data is publicly available to us, but not in a form that is readily useable. That is where web scraping comes in. Web scraping is the process of extracting data from a website. We can use web scraping to get our desired data into a convenient format that can then be used. In this tutorial, I will show how you can extract information of interest from a website using the selenium package in Python. Selenium is extremely powerful. It allows us to drive a browser window and interact with the website programmatically. Selenium also has several methods which make extracting data very easy.

In this tutorial I will be developing in a Jupyter Notebook using Python3 on Windows 10.

Firstly, we will need to download a driver. In this tutorial, I will use ChromeDriver for Google Chrome. For a full list of supported drivers and platforms, refer to https://www.selenium.dev/downloads/. If you want to use Google Chrome, head over to https://chromedriver.chromium.org/ and download the driver that corresponds to your current version of Google Chrome.

#python #data-science #web-scraping #selenium #python3

What is GEEK

Buddha Community

Web Scraping with Selenium in Python
Sival Alethea

Sival Alethea

1624402800

Beautiful Soup Tutorial - Web Scraping in Python

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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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#web scraping #python #beautiful soup #beautiful soup tutorial #web scraping in python #beautiful soup tutorial - web scraping in python

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

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:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

How POST Requests with Python Make Web Scraping Easier

When scraping a website with Python, it’s common to use the

urllibor theRequestslibraries to sendGETrequests to the server in order to receive its information.

However, you’ll eventually need to send some information to the website yourself before receiving the data you want, maybe because it’s necessary to perform a log-in or to interact somehow with the page.

To execute such interactions, Selenium is a frequently used tool. However, it also comes with some downsides as it’s a bit slow and can also be quite unstable sometimes. The alternative is to send a

POSTrequest containing the information the website needs using the request library.

In fact, when compared to Requests, Selenium becomes a very slow approach since it does the entire work of actually opening your browser to navigate through the websites you’ll collect data from. Of course, depending on the problem, you’ll eventually need to use it, but for some other situations, a

POSTrequest may be your best option, which makes it an important tool for your web scraping toolbox.

In this article, we’ll see a brief introduction to the

POSTmethod and how it can be implemented to improve your web scraping routines.

#python #web-scraping #requests #web-scraping-with-python #data-science #data-collection #python-tutorials #data-scraping

August  Larson

August Larson

1624930726

Automating WhatsApp Web with Alright and Python

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.

Why Alright?

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:

  1. pywhatkit
  2. pywhatsapp
  3. PyWhatsapp
  4. WebWhatsapp-Wrapper

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

pywhatsapp,which is based onyowsupand require you to do some registration withyowsupbefore 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.

#python #python-programming #python-tutorials #python-programming-lists #selenium #python-dev-tips #python-developers #programming #web-monetization

Tyrique  Littel

Tyrique Littel

1603472400

Web Scraping using Python and Selenium.

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.

Traditional Data 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.

Image for post

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:

https://www.myreportdata.com?month=12&year=2004&clientid=24823

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).

Browser-based Scraping

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:

  1. Certificate. There was a certificate required to be installed to access the portion of the website where the data was. When accessing the initial page, a prompt appeared asking me to select the proper certificate of those installed on my computer, and click OK.
  2. Iframes. The site used iframes, which messed up my normal scraping. Yes, I could try to find all iframe URLs, then build a sitemap, but that seemed like it could get unwieldy.
  3. JavaScript. The data was accessed after filling in a form with parameters (e.g., customer ID, date range, etc.). Normally, I would bypass the form and simply pass the form variables (via URL or as hidden form variables) to the result page and see the results. But in this case, the form contained JavaScript, which didn’t allow me to access the form variables in a normal fashion.

#selenium #crawling #scraping-with-python #python #web-scraping