Wikipedia Data Scraping

What is Wikipedia?

Wikipedia is a free online reference project that is assisting in the creation of a world in which anyone can share different the total of all knowledge. It is built on a model of publicly modifiable material and is endorsed by the Wikimedia Foundation.

Web scraping Wikipedia is a technique where a computer program scrapes the required information coming from other output.

Wiki data collection is valuable to people of different backgrounds and sectors because of the range of data available. Learning to scrape Wikipedia and locate interesting data within the internet is a crucial skill in any area, whether you’re extracting data from it or using it to discover additional data sources.

The Wiki Data that can be scraped from Wikipedia are:

• Current events
• Page topics
• Information within topic pages
• Third-party reference data
• List pages
• Timeliness
• Indices
• Important articles

There are various uses of the data scraped from Wikipedia. Below mentioned are few examples:

• Scraping makes it simple to see how a page changes over time.
• To keep track of various ideas, you can sort the data by most interesting that will cover your particular topic.
• If you’re just a breaking newscaster, you can use current events data to double-check your sources and fill in any gaps.
• If you’re trying to identify regional instability that could affect your industry, keeping track of pertinent events will save you from being caught off guard.
• Wikipedia’s special pages tab provides access to a variety of categories, including dormant pages, dead-end pages, uncategorized pages, and more.
• Another main advantage of scraping Wikipedia information is retrieving the data of High use pages list. This will include information on the most altered pages, the most connected pages, the pages with the most categories, the most revisions, and other research data points
• Wikipedia occupies a unique area in online data extraction because it is one of the most accessed sites on the internet.
• There is certain to be data applicable to any sector or project that may emerge, due to the seemingly limitless pages, categories, sub-categories, and references.

The ideal approach to save time, money, and effort is to use a web scraping technology that collects data from Wikipedia automatically.