Clemmie  Will

Clemmie Will


Scraping from all over Wikipedia

Last week I wrote about how to scrape data from a table on Wikipedia (here’s the link to get caught up). In the article, I scraped data from a table on this page, which had the contestants’ name, age, occupation, and where they were from season one of the Great British Bake Off. The end result was the following dictionary:

{'Annetha Mills': [30, '/wiki/Essex'],
 'David Chambers': [31, '/wiki/Milton_Keynes'],
 'Edward "Edd" Kimber': [24, '/wiki/Bradford'],
 'Jasminder Randhawa': [45, '/wiki/Birmingham'],
 'Jonathan Shepherd': [25, '/wiki/St_Albans'],
 'Lea Harris': [51, '/wiki/Midlothian'],
 'Louise Brimelow': [44, '/wiki/Manchester'],
 'Mark Whithers': [48, '/wiki/Wales'],
 'Miranda Gore Browne': [37, '/wiki/Midhurst'],
 'Ruth Clemens': [31, '/wiki/Poynton,_Cheshire']}

As you can see, the contestants’ full names are the keys and the values are a list containing their age and a url snippet containing the url of the wikipedia page about their hometown. Now, I could have easily just gotten the name of the town and called it a day. However, that wouldn’t be helpful if I intend to run a model of some kind on the data I scrape. When you’re gathering data to use for a model, the more actual numerical data you can collect, the better. Therefore, instead of just collecting the name of the place, it would be more useful to collect some statistics about the place, like population or density.

#python #data-science #programming #technology

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Buddha Community

Scraping from all over Wikipedia
lura hoffer

lura hoffer


Wikipedia Clone | Wikipedia Script | Wikipedia Clone Script in PHP | NCrypted Websites

World Book Online


This is another traditional encyclopedia that has made the move to the Internet in order to challenge Wikipedia. It’s aimed slightly towards younger school students, but it’s still a respected name when it comes to general reference.

Britannica Online

Remember regular encyclopedias? Britannica, formerly the most referenced encyclopedia on earth, offers up expert summaries of a wide range of topics online.


If you’ve ever Googled for the definition of a word, you’ve probably run across Free Dictionary. In addition to dictionary functionality, the Website also offers an encyclopedia section with much longer explanations of over 100,000 people, places, and things

Infoplease is a publication of Pearson Education, the world’s largest distributor of educational literature. Content is collected from trusted sources like Random House Dictionary – users are not able to contribute to the content.


Citizendium is an open wiki project dedicated to creating a free, comprehensive, repository of structured knowledge.



Everipedia is “Everyone’s Encyclopedia”. “Everipedia offers a space for you to dive into anything you find interesting, connect with people who share your interests, and contribute your own perspective.”


Wikipedia is believed by some to be too liberal. At Reputation X we can attest to bias by Wikipedia authors, especially in political or environmental contexts. This idea of bias in Wikipedia sparked the creation of Conservapedia, a conservative, Christian Wiki encyclopedia complete with seven Commandments that users must follow.

With this, the content sharing sites could earn a good amount of revenue. With the boon of technology. Hence, sites like Wikipedia have become profitable platforms.

If you are willing to develop clone scripts like, connect to the idea. Wikipedia Clone is a new powerful approach for the information world to become the pioneers in the content sharing industry. But Our experts will ensure the help to analyze your idea and business prospects and give you a detailed estimate, additionally bringing your idea to the life.

#scripts like wikipedia #wikipedia clone #sites like wikipedia #wikipedia

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

Ray  Patel

Ray Patel


How to Deal With the Most Common Challenges in Web Scraping

For those who practice data extraction as an essential business tactic, we’ve revealed the most common web scraping challenges.


In the world of business, big data is key to competitors, customer preferences, and market trends. Therefore, web scraping is getting more and more popular. By using web scraping solutions, businesses get competitive advantages in the market. The reasons are many, but the most obvious are customer behavior research, price and product optimization, lead generation, and competitor monitoring. For those who practice data extraction as an essential business tactic, we’ve revealed the most common web scraping challenges.

#big data #data analytics #web scraping #data scraping #deal with the most common challenges in web scraping #scraper

Sival Alethea

Sival Alethea


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