Monday 11 September 2017

All You Need to Know About Website Crawlers and How to Use them.

The web is filled with many strange terms and idioms, and it sometimes becomes too difficult to understand them if you’re not the ICT fan type. Website Crawler or Spider is one of those terms. In a simple definition; website crawler online can also be called a web robot or bot that makes it possible to gather data that has been uploaded to websites.

In order words; when a web crawler browses through a given website and scrapes out relevant information in form of data -- it's called website crawling. Good examples of data extracted is email, post articles, phone numbers, videos, pictures and any other type of web content you can think of.

Not to get it twisted; Web Crawler, Spider, Miner, Harvester and Extractor all points to the same tasking. Though there could be a little difference in procedural approach.

Web Crawling Process and Examples

Now, when a script is programmed to browse through a website and gathers various types of data; this is called Web Crawling. And just any website on the World Wide Web can be crawled by a website crawler except stated otherwise.
Some illustrative examples can be seen on Google.com website crawlers, Bing.com, Yandex.com, Yahoo.com etc,.

Important uses of Web Crawlers

Since many legit websites, most especially search engines use crawling as a means of fetching up-to-date data. It is likewise in the same vein that several businesses in the ICT sphere require these crawlers. The process involved in data scraping and warehousing is not as easy as pie, hence, combining web crawler online and other data mining procedures are paramount. Below are some crucial uses of web crawlers:

Indexing of web content

Just as web crawlers browse through a website and marks-out different contents of the website; which includes but not limited to articles, images, and videos. Indexing is what happens. The web robots are able to recognize these contents categorically and presents them when the need is required.

Website Maintenance and Management 

Web crawler online is also used in the automation maintenance task process of the website. Some of which include validating of the HTML codes and checking links.

Thursday 7 September 2017

How Important is Web Data and why Venture into Web Data Extraction?

Before proceeding, it is importantly required that you ask yourself what Web Data is; before evaluating Web Data Extraction process. Of course Web Data; in a simple and general language is a piece of information collected from the web and to be used in the pursuit of a goal.

Regardless of the industry you find yourself, the need for information is something you cannot simply boycott. Just as it is in the ICT world, the same is obtainable in Engineering and as well Financial sector. Data collected from the web can either be of help in your business, education, or other life circumstances.

How important is Web Data?
There is no one purpose to which web data is essential in everyday life. People search for web data (information) from time to time with regard to their needs and wants. Someone who runs a motorcycle manufacturing business is as good as a person producing refined sugar. In the end, both parties will be found searching for information and other relevant data to enhance productivity. The same is seen in the educational system where data collected from the web is used to further research-work, and provide befitting answers to a student’s doubts etc.

Why Web Data Extraction is a sure bet.
Web Data Extraction is a process which involves grabbing data from the internet using a sophisticated methodology. Depending on what service you’re using (which could either be a software application, web application, or other enviable techniques). Web data extraction makes it really easy and possible to grab bounteous loads of data from the web tailored according to one’s need.

The deeper you look, the more promising the advantages of web data extraction becomes. One of which is the sequential arrangement of extracted data into different categories and fields. Some of these data may include Phone contacts, addresses, name of persons, business locations, email addresses etc.