How to Build Data Warehouses using Web Scraping

Businesses all over the world are facing an avalanche of information which needs to be collated, organized, analyzed and utilized in an appropriate fashion. Moreover, with each increasing year there is a perceived shortening of the turnaround time for businesses to take decisions based on information they have assimilated. Data Extractors, therefore, have evolved with a more significant role in modern day businesses than just mere collectors or scrapers of unstructured data. They cleanse structure and store contextual data in veritable warehouses, so as to make it available for transformation into useable information as and when the business requires. Data warehouses, therefore, are the curators of information which businesses seek to treasure and to use.

Understanding Data Warehouses

 Traditionally, Data Warehouses have been premised on the concept of getting easy access to readily available data. Modern day usage has helped it to evolve as a rich repository to store current and historical data that can be used to conduct data analysis and generate reports. As it also stores historical data, Data Warehouses are used to generate trending reports to help businesses foresee their prospects. In other words, data warehouses are the modern day crystal balls which businesses zealously pore over to foretell their future in the Industry.

Scraping Web Data for Creating Warehouses

The Web, as we know it, is a rich repository of a whole host of information. However, it is not always easy to access this information for the benefit of our businesses through manual processes. The data extractor tools, therefore, have been built to quickly and easily, scrape, cleanse and structure and store it in Data Warehouses so as to be readily available in a useable format.

Web Scraping tools are variously designed to help both programmers as well as non-programmers to retain their comfort zone while collecting data to create the data warehouses. There are several tools with point and click interfaces that ease out the process considerably. You can simply define the type of data you want and the tool will take care of the rest. Also, most tools such as these are able to store the data in the cloud and therefore do not need to maintain costly hardware or whole teams of developers to manage the repository.

Moreover, as most tools use a browser rendering technology, it helps to simulate the web viewing experience of humans thereby easing the usability aspect among business users facilitating the data extraction and storage process further.

Conclusion

The internet as we know it is stocked with valuable data most of which are not always easy to access. Web Data extraction tools have therefore gained popularity among businesses as they browse, search, navigate simulating your experience of web browsing and finally extract data fields specific to your industry and appropriate to your needs. These are stored in repositories for analysis and generation of reports. Thus evolves the need and utility of Data warehouses. As the process of data collection and organization from unstructured to structured form is automated, there is an assurance of accuracy built into the process which enhances the value and credibility of data warehouses. Web Data scraping is no doubt the value enhancers for Data warehouses in the current scenario.

Source: http://scraping-solutions.blogspot.in/2014/09/how-to-build-data-warehouses-using-web.html

What is HTML Scraping and how it works

There are many reasons why there may be a requirement to pull data or information from other sites, and usually the process begins after checking whether the site has an official API. There are very few people who are aware about the presence of structured data that is supported by every website automatically. We are basically talking about pulling data right from the HTML, also referred to as HTML scraping. This is an awesome way of gleaning data and information from third party websites.

Any webpage content that can be viewed can be scraped without any trouble. If there is any way provided by the website to the browser of the visitor to download content and use the same in a highly structured manner, in that case, accessing of the content programmatically is possible. HTML scraping works in an amazing manner.

Before indulging in HTML scraping, one can inspect the browser for network traffic. Site owners have a couple of tricks up their sleeve to thwart this access, but majority of them can be worked around.

Before moving on to how HTML scraping works, we must understand the reasons behind the same. Why is scraping needed? Once you get a satisfactory answer to this question, you can start looking for RSS or API feeds or various other traditional structured data forms. It is significant to understand that when compared with APIs, websites are more significant.

The most important advantage of the same is the maintenance of their websites where a lot of visitors visit rather than safeguarding structured data feeds. With Tweeter, the same has been publicly seen when it clamps down on the developer ecosystem. Many times, API feeds change or move without any prior warning. Many times, it can also be a deliberate attempt, but mostly, such issues or problems erupt as there is no authority or an organization that maintains or takes care of the structured data. It is rarely noticed, if the same gets severely mangled or goes offline. In case the website has certain issues or the website no longer works, the problem is more in the form of a ball in your court requiring dealing with the same without losing any time. api-comic-image

Rate limiting is another factor that needs a lot of thinking and in case of public websites, it virtually doesn’t exist. Besides some occasional sign up pages or captchas, many business websites fail to create and built defenses against any unwarranted automated access. Many times, a single website can be scraped for four hours straight without anyone noticing. There are chances that you would not be viewed under DDOS attack unless concurrent requests are being made by you. You will be seen just as an avid visitor or an enthusiast in the logs, that too, in case anyone is looking.

Another factor in HTML scraping is that one can easily access any website anonymously. Behavior tracking can be done with a few ways by the administrator of the website and this turns out to be beneficial if you want to privately gather the data. Many times, registration is imperative with APIs in order to get key and with any request being sent, this key also needs to be sent. But, in case of simple and straightforward HTTP requests, the visitor can stay anonymous besides cookies and IP address, which can again be spoofed.

The availability of HTML scraping is universal and there is no need to wait for the opening of the site for an API or for contacting anyone in the organization. One simply needs to spend some time and browse websites at a leisurely pace until the data you want is available and then find out the basic patterns to access the same.

Now you need to don a hat of a professional scraper and simply dive in. Initially, it may take some time to work up figuring out the way the data have been structured and the way it can be accessed just as we read APIs. If there is no documentation unlike APIs, you need to be a little more smart about it and use clever tricks.

Some of the most used tricks are

Data Fetching

The first thing that is required is data fetching. Find endpoints to begin with, that is the URLs that can help in returning the data that is required. If you are pretty sure about the data and the way it should be structured so as to match your requirements, you will require a particular subset for the same and later you can indulge in site browsing using the navigation tools.

GET Parameter

The URLs must be paid attention to and see the way it changes as you indulge in clicking between the sections and the way they divide into various subsections. Before starting, the other option that can be used is to straight away go to the search functionality of the site. Certain terms can be typed and the URL needs to be focused again for watching the changes on the basis of what is being searched. A GET parameter will be probably seen like q which changes on the basis of the search term used by you. Other GET parameters that are not being used can be removed from the URL until only the ones that are needed are left for data loading. Before a query string, there must always be a “?” beginning.

Now the time has come when you would have started to come across the data that you would like to see and want to access, but sometimes, there may be certain pagination issues that require to be dealt with. Due to these issues, you may not be able to see the data in its entirety. Single requests are kept away by many APIs as well from database slamming. Many times, clicking the next page can add some offset parameter that helps in data visibility on the page. All these steps will help you succeed in HTML scraping.

Source: https://www.promptcloud.com/blog/what-is-html-scraping-and-how-it-works/

Web Data Extraction- The most convenient and easy way to extract data from the internet

Web data extraction is the most proficient technique that will help you find the pertaining data for your existing business or any personal use. Many times, we find that experts’ copy and paste information manually from web pages or download the entire website which is a waste of time and effort.

Now with the new technique of Web data extraction you can crawl through loads and loads of web pages in order to extract particular data and at the same time save this data in the following manner

•     CSV FILE
•     XML FILE or
•     Any other custom format for future use.

Below given are some instances of Web data extraction processes:

•     Take a government portal, extracting names of citizens for a survey
•     Search for competitor websites for product pricing and feature information
•     Utilize web scraping to download images from a stock photography site for website design

How can Web Data Extraction serve you?

 You can extract data from any kind of websites like

Extract Data from any kind of Websites: Directories, Classified Websites, News, Websites, Blogs, Articles, and Job Portals, Search Engines, eCommerce Websites, Social Media Websites and any kind of websites whose content can be accessible. Extract Emails, Contacts, Price/Rate, Features, Contact Names, Contact Details, Full Text, Live updates, ASINs, Meta Tags, Address, Phone, Fax, Latitude & Longitude, Images, Links, Reviews, Ratings, etc. Help in Data Collection, Competitor Analysis, Research, Business Intelligence, Social Media Trend analysis, Brand Monitoring, Lead Data Collection, Website & Competitor Web Monitoring, etc. Deliver Data in any Database, Excel, CSV, Access, Text, My SQL, SQL, Oracle, etc. and in any format Custom Services of Web Data Extraction as per client need one time Data Delivery or Continued/Scheduled Data Delivery

The next is Website Data Scraping:

 Web site Data Scraping is the process of extracting data from a website by using a particular software program available from proven website only.

This extracted data can be utilized by any person and for any purposes as per their needs and wants; data extracted can be used in different industries. There are many companies providing best Website data scraping services.

It is one such field which has active developments and also shares a common objective that needs a breakthrough in the following:

•     Text Processing
•     Semantic Understanding
•     Artificial Intelligence
•     Human Computer Interactions

There are many users or end users, companies and experts that need information or data that is accessible in some or the other format. In such cases Web Data Extraction can tailor the need of extracting data from any proven source and preserve the data on a particular destination.

The source platform contains:

•     Excel
•     CSV
•     MySQL and
•     Others

Moreover, the technique of Web data extractor can also extract information from various websites like Google, Amazon, LinkedIn, EBay and many others.

It can also extract data from eCommerce shopping websites, or other social networking websites, any public websites, classifieds websites, job portal websites and any other search engine websites.

Websitedatascraping.com is enough capable to web data scraping, website data scraping, web scraping services, website scraping services, data scraping services, product information scraping and yellowpages data scraping.

Diamond Mines And Mining Techniques

Diamonds remain to this day a mystical gem with a somewhat checkered past. The story of the Hope diamond is based on a long legend of misfortunes supposedly befalling its various and colorful owners. Segregation and mistreatment of blacks in diamond mines in Africa has long been a terrible mark on humanity in that part of the world. Although early white miners were treated better the working conditions endured by all diamond miners were less than humane. Fortunately most of today's mines while still depending on human labor have most of the heavy work done with machinery.

Contrary to popular belief diamonds are mined in areas other than Africa. Some of the better known diamond mines are these.

* Argye one of the Rio Tinto company mines is located in Western Australia.

* Diavik another Rio Tinto mine is located in Canada.

* Ekati owned by BHP Billiton and located in the Northwest Territories of Canada.

* Baken owned by Trans Hexis is located in South Africa.

* Merlin owned by Striker Resources is located in Australia.

* Orapa owned by a partnership between DeBeers and the government of Botswana is in Botswana.

* Premier owned by the De Beers Company is located in South Africa.

Diamond ore is extracted from these mines using basically four mining techniques which are based on the type of geology in which the diamond bearing material is located.

Marine Mining is the most recent development introduced about 1990. This technique is similar to deep water oil drilling. A large shaft is bored into the seabed to a depth where diamond bearing soil is located and that material is sucked to the surface. Also underwater vehicles called "crawlers" move along the seabed to scoop up diamond bearing gravel and pump it to the surface.

Placer Diamond Mining is a technique that is seen many times in movies of the old West. The diamonds are buried in river banks or mountain sides and water canons are used to wash the material down to be processed.

Hard Rock Diamond Mining is again familiar to movie fans as they watched coal miners or gold and silver miners digging their way into deep underground tunnels. Of course the technique is modern now and makes use of many specialized machines to do the heavy work.

Open-Pit diamond mining is similar to the pit coal mines of West Virginia and some western states. Overburden which is the soil covering the diamond embedded material is moved by machinery and blasting. The diamond bearing material is then moved to processing plants. This technique is common when the diamond bearing material is found close to the surface of if the geology is so unstable that tunneling is not safe or practical.

From this short article it should be apparent that diamonds take long and interesting journeys before they find a cherished spot on your finger or ear lobes.

Source: http://ezinearticles.com/?Diamond-Mines-And-Mining-Techniques&id=4800018

Safeguarding the Future Through Data Mining

Web scraping can be a powerful tool not only in business and research. In fact, it has the capacity to protect the future by its predicting power. You may find this declaration incredible; but data mining is indeed a tangible way of predicting future events and thus protecting life in the future.

With the thousands of years of existence on earth, humans are able to gather as much information and experience to have a glimpse of what is to come. With the cycles of changes in the environment and in the whole universe aside from the human behavior, so much can be learned and applied.

At least three major things can be determined by careful and diligent data mining. These are: future threats; future trends; and future tactics.

Future threats

According to reports, the US intelligence agencies have been using web extraction as a way of studying the present and past terrorism acts and personages to predict future terrorist events. This has been actively done since the year 2010.

Data is gathered about a known terrorist such as: his activities; his contacts; his routines; the places he frequents; and other related information. These data are analyzed and classified. Any suspicious activities as well as unusual contact are monitored closely. Through these stored data and monitoring processes, any untoward activities can be precluded and preempted. You may say that terrorists can be using data mining too; and that is obviously possible. In this way, web scraping can also be used as a weapon for destruction. There is then a need for the government agencies to be very careful in protecting their data so that the enemies cannot retrieve them.

In the overall picture, you can just imagine how many lives, trauma, and damage can be prevented if future terrorist activities are prevented.

Moreover, climate change is another phenomenon that has already been predicted and is beginning to occur nowadays. Scientists have been studying the effects of global warming and environmental degradation through online data too. So much information drives and warning have been published by scholarly papers and by the experts but many of these have remained unheeded. Now that erratic weather conditions are happening, people can only regret and feel guilty that they are part of the cause of the problem.

However, it is not really too late to do some actions. People can avoid places where abnormal conditions are expected to happen; they can do some measures to protect themselves; and they can be informed ahead of time before anything catastrophic could happen.

Future trends

In relation to the predictions of possible threats, data extraction can also predict future trends. This is most helpful in businesses because they can be helped to produce items and employ strategies that will suit the expected patrons and clients.  Since history tends to repeat itself, data gathered in the past and present if studied judiciously and compared intelligently can bring in positive results.

Oftentimes, the companies that study their books as well as of those who have gone before them can gain more knowledge and expertise that will surely put them ahead of their contemporaries.

Future tactics

Naturally, along with knowing the possible events and trends in the future, strategies and ways to combat threats and cope with trends can also be predicted through web scraping.

Safeguarding the future is no longer a dream or wish. As early as today, experts can create equipment, structures, strategies, and even weapons to prevent any untoward incidents and collateral damage.

Studying the strengths and weaknesses of the past and present plans, procedures, and tools can lead to better technologies and techniques. The future can be a better and safer place if people can learn from the mistakes of the past and go from good to better.

The statement: “The best is yet to come,” will finally be realized if proper management of data and information collected and analyzed through web scraping will be conducted.

Bright future

Looking at the horizon, one can always expect the sun to shine and bring in a bright day. This same positive expectation for the future is indeed possible. Thanks to data mining; life can be handled more securely and precisely.

It does not mean that humans have become gods. It only proves that a person’s talents and skills, when used properly can make his/her future brighter and more successful. On the other hand, carelessness and lack of sensibilities to other people and the environment can surely bring in future doom.

Everything is laid bare and you are given the chance to handle the present with enough wisdom and capabilities. Although the world is too big to be understood and there is still a huge field of knowledge to be conquered, life can surely go on positively.

Source:http://www.loginworks.com/blogs/web-scraping-blogs/257-safeguarding-the-future-through-data-mining/

About Web Scraping and Web Data Mining

Web scraping as suggested by the name simply refers to method of obtaining data or information from an array of websites. This has greatly revolutionized how companies obtain data and put this obtained data into significant use.This has greatly helped many firms and individuals in different spheres transact in the most effective ways. With the internet offering a very large base for obtaining information, various companies have resorted to use web scraping as method of getting information. Relevance of needed data is of great importance since it is the determining factor of what and how data has to be scraped. A good number of data mining companies have come up to help individuals and organizations get the information as per their requirements. These companies also provide software which when installed in a computer may be of great importance to the business.

Depending on the organizations background it may opt to choose between mining the data for themselves or actually employing the services of a data mining company. These organizations have data mining experts who actually are better suited to handle data professionally. As it sounds it is not every ones job since it is computer languages that are used therefore it is only those with relevant knowledge that are well suited to handle this jobs.

Although short cuts are considered dangerous, in this case hiring the services of this experts may bring with it better results with minimized costs than doing the job internally What brings about the idea of a company going for a particular data mining company? For obvious reasons it may because of some eye catching advertisement somewhere. Mostly businesses do extensive research when it comes to making this choice and depending on the gravity sensitivity and format of sort data. These companies provide the needed data in the most comprehensive and in the needed format hence wastage of time as a resource is unheard in these businesses.

web scraping and data mining Research done by these companies ought to be converted to meaningful results. This is done by carrying out meaning full analysis and deducing relevant conclusions from this data. This operation greatly improves the efficiency of these organizations. Analysis done on this is carried by asking relevant questions regarding some aspects regarding the operations of the business. Questions that are frequently asked may take a certain form like, how viable could this be in the short run? In the quest of these answers it is then that meaningful analysis is done.

Data mining companies have given the business word a major boost in the accusation of data from the internet which may now be considered as the largest information resource. It also through this data mining that results from surveys across various parts of the world is acquired. This eliminates the need for this company carrying out these researches for themselves .Of particular importance is the aspect of language barriers making an individual company seeks the services of a reputable data mining firm. Therefore from all the above considerations it can be deduced that, if only a business is to achieve its objectives only proper web scraping techniques from reputable firms should be employed.

Web data mining refers to ways and methods which are used in seeking information from a wide array of websites. Companies and individuals employ this in their daily operations since in the current word lack of information can be a major setback. This is simply because it is through data mining that enterprises will be able to market their businesses, get information regarding upcoming promotions and sometimes make relevant discoveries. This explains why companies are investing lots of resources all aimed in the search of relevant information. After this organizations have gathered this information implementation of obtained information is vital. Therefore data mining should be coupled with relevant implementation to count it as a success. Analysis of information is quite important .Since bulky information obtained may not be necessarily required in that form. This is done using software that is capable of giving a good analysis of the data.

Analysis is done in different ways depending on requirements like one may require a summary or categorized data. Previously when data mining was not greatly used software developments were minimal .Recently there are great improvements in this field since many organizations are embracing it particularly those in third world countries. This has greatly improved turnovers of a good number of companies. Previously many firms used to collect data manually. This of course proved to be a very slow method and a tiring one. Many firms had to increase their staff to cope with this bulk in workload. Considering this age where capitalism is thriving they risked being faced out since it is the case where only the strongest survive and the weaker ones pave way. Time was a factor in realizing an increase in number of organization using this technologically advanced approach. Usage of this collected information is actually used to foster better growth of the company.

Based on previous findings from various analysis techniques are employed by the firms employees irrespective of their ranks. For examples managers may employ web data mining to make good and realistic decisions that are consistent or better than those which other companies are using. Information may also aid in improvement of business infrastructure since in the modern word infrastructure development is on the rise. Better infrastructure acquired on time will actually give the business a big thrust ahead of their competitors. With the relevant data mining software’s companies are able to do meaningful research and developments. For instance companies are able to address issues regarding their customers preferences, their individual wants .

A company may easily know who their customers are, what they are their likes and also their economic abilities. This can be used when the company decides to give offers, discounts and many other customer enticing actions. For example a soft drink company will have to place its promotions during winter since it is then that their customers are unlikely to buy their services. With this great increase in number of resources on the websites no individual can afford to ignore data mining.

Source: http://www.loginworks.com/blogs/web-scraping-blogs/247-web-scraping-and-web-data-mining/

Data Mining vs Screen-Scraping

Data mining isn't screen-scraping. I know that some people in the room may disagree with that statement, but they're actually two almost completely different concepts.

In a nutshell, you might state it this way: screen-scraping allows you to get information, where data mining allows you to analyze information. That's a pretty big simplification, so I'll elaborate a bit.

The term "screen-scraping" comes from the old mainframe terminal days where people worked on computers with green and black screens containing only text. Screen-scraping was used to extract characters from the screens so that they could be analyzed. Fast-forwarding to the web world of today, screen-scraping now most commonly refers to extracting information from web sites. That is, computer programs can "crawl" or "spider" through web sites, pulling out data. People often do this to build things like comparison shopping engines, archive web pages, or simply download text to a spreadsheet so that it can be filtered and analyzed.

Data mining, on the other hand, is defined by Wikipedia as the "practice of automatically searching large stores of data for patterns." In other words, you already have the data, and you're now analyzing it to learn useful things about it. Data mining often involves lots of complex algorithms based on statistical methods. It has nothing to do with how you got the data in the first place. In data mining you only care about analyzing what's already there.

The difficulty is that people who don't know the term "screen-scraping" will try Googling for anything that resembles it. We include a number of these terms on our web site to help such folks; for example, we created pages entitled Text Data Mining, Automated Data Collection, Web Site Data Extraction, and even Web Site Ripper (I suppose "scraping" is sort of like "ripping"). So it presents a bit of a problem-we don't necessarily want to perpetuate a misconception (i.e., screen-scraping = data mining), but we also have to use terminology that people will actually use.

Source: http://ezinearticles.com/?Data-Mining-vs-Screen-Scraping&id=146813