Monday, 22 December 2014

Scraping table from html web with CloudStat

You need to use the data from internet, but don’t type, you can just extract or scrape them if you know the web URL.

Thanks to XML package from R. It provides amazing readHTMLtable() function.

For a study case,

I want to scrape data:

    US Airline Customer Score.
    World Top Chess Players (Men).

A. Scraping US Airline Customer Score table from

http://www.theacsi.org/index.php?option=com_content&view=article&id=147&catid=&Itemid=212&i=Airlines

Code:

airline = ‘http://www.theacsi.org/index.php?option=com_content&view=article&id=147&catid=&Itemid=212&i=Airlines’

airline.table = readHTMLTable(airline, header=T, which=1,stringsAsFactors=F)

Result:

B. Scraping World Top Chess players (Men) table from http://ratings.fide.com/top.phtml?list=men

Code:

chess = ‘http://ratings.fide.com/top.phtml?list=men’

chess.table = readHTMLTable(chess, header=T, which=5,stringsAsFactors=F)

Result:

Done. You had successfully scraping data from any web page with CloudStat.

You can get the full version of this study case (code and result) at Scraping table from html web.

Then, you can analyze as usual! Great! No more retype the data. Enjoy!

Source:http://www.r-bloggers.com/scraping-table-from-html-web-with-cloudstat/

Thursday, 18 December 2014

Data Extraction - A Guideline to Use Scrapping Tools Effectively

So many people around the world do not have much knowledge about these scrapping tools. In their views, mining means extracting resources from the earth. In these internet technology days, the new mined resource is data. There are so many data mining software tools are available in the internet to extract specific data from the web. Every company in the world has been dealing with tons of data, managing and converting this data into a useful form is a real hectic work for them. If this right information is not available at the right time a company will lose valuable time to making strategic decisions on this accurate information.

This type of situation will break opportunities in the present competitive market. However, in these situations, the data extraction and data mining tools will help you to take the strategic decisions in right time to reach your goals in this competitive business. There are so many advantages with these tools that you can store customer information in a sequential manner, you can know the operations of your competitors, and also you can figure out your company performance. And it is a critical job to every company to have this information at fingertips when they need this information.

To survive in this competitive business world, this data extraction and data mining are critical in operations of the company. There is a powerful tool called Website scraper used in online digital mining. With this toll, you can filter the data in internet and retrieves the information for specific needs. This scrapping tool is used in various fields and types are numerous. Research, surveillance, and the harvesting of direct marketing leads is just a few ways the website scraper assists professionals in the workplace.

Screen scrapping tool is another tool which useful to extract the data from the web. This is much helpful when you work on the internet to mine data to your local hard disks. It provides a graphical interface allowing you to designate Universal Resource Locator, data elements to be extracted, and scripting logic to traverse pages and work with mined data. You can use this tool as periodical intervals. By using this tool, you can download the database in internet to you spread sheets. The important one in scrapping tools is Data mining software, it will extract the large amount of information from the web, and it will compare that date into a useful format. This tool is used in various sectors of business, especially, for those who are creating leads, budget establishing seeing the competitors charges and analysis the trends in online. With this tool, the information is gathered and immediately uses for your business needs.

Another best scrapping tool is e mailing scrapping tool, this tool crawls the public email addresses from various web sites. You can easily from a large mailing list with this tool. You can use these mailing lists to promote your product through online and proposals sending an offer for related business and many more to do. With this toll, you can find the targeted customers towards your product or potential business parents. This will allows you to expand your business in the online market.

There are so many well established and esteemed organizations are providing these features free of cost as the trial offer to customers. If you want permanent services, you need to pay nominal fees. You can download these services from their valuable web sites also.

Source: http://ezinearticles.com/?Data-Extraction---A-Guideline-to-Use-Scrapping-Tools-Effectively&id=3600918

Tuesday, 16 December 2014

Online Data Entry and Data Mining Services

Data entry job involves transcribing a particular type of data into some other form. It can be either online or offline. The input data may include printed documents like Application forms, survey forms, registration forms, handwritten documents etc.

Data entry process is an inevitable part of the job to any organization. One way or other each organization demands data entry. Data entry skills vary depends upon the nature of the job requirement, in some cases data to be entered from a hard copy formats and in some other cases data to be entered directly into a web portal. Online data entry job generally requires the data to be entered in to any online data base.

For a super market, data associate might be required to enter the goods which have sold in a particular day and the new goods received in a particular day to maintain the stock well in order. Also, by doing this the concerned authorities will get an idea about the sale particulars of each commodity as they requires. In another example, an office the account executive might be required to input the day to day expenses in to the online accounting database in order to keep the account well in order.

The aim of the data mining process is to collect the information from reliable online sources as per the requirement of the customer and convert it to a structured format for the further use. The major source of data mining is any of the internet search engine like Google, Yahoo, Bing, AOL, MSN etc. Many search engines such as Google and Bing provide customized results based on the user's activity history. Based on our keyword search, the search engine lists the details of the websites from where we can gather the details as per our requirement.

Collect the data from the online sources such as Company Name, Contact Person, Profile of the Company, Contact Phone Number of Email ID Etc. are doing for the marketing activities. Once the data is gathered from the online sources into a structured format, the marketing authorities will start their marketing promotions by calling or emailing the concerned persons, which may result to create a new customer. So basically data mining is playing a vital role in today's business expansions. By outsourcing the data entry and its related works, you can save the cost that would be incurred in setting up the necessary infrastructure and employee cost.

Source:http://ezinearticles.com/?Online-Data-Entry-and-Data-Mining-Services&id=7713395

Monday, 15 December 2014

RAM Scraping a New Old Favorite For Hackers

Some of the best stories involve a conflict with an old enemy: a friend-turned-foe, long thought dead, returning from the grave for violent retribution; an ancient order of dark siders from the distant reaches of the galaxy, hiding in plain sight and waiting to seize power for themselves; a dark lord thought destroyed millennia ago, only to rise again and seek his favorite piece of jewelry.  The list goes on.

Granted, 2011 isn’t quite “millennia,” and this story isn’t meant for entertainment, but the old foe in this instance is nonetheless dangerous in its own right.  That is the year when RAM scraping malware first made major headlines: originating as an advanced version of the Trackr malware, controlled through a botnet, it was discovered in the compromised Point of Sale (POS) systems of a university and several hotels.  And while it seemed recently that this method had dwindled in popularity, the Target and other retail breaches saw it return with a vengeance.  With 110 million Target customers having their information compromised, it was easily one the largest incidents involving memory scrapers.

How does it work?  First, the malware has to be introduced into the POS network, which can happen via any machine that is connected to the network, or unsecured wireless networks.  Even with firewalls, an infected laptop could serve as a vector.  Once installed, the malware can hide in the shadows, employing encryption or antivirus-avoiding tools to prevent its identification until it’s ready to strike.  Then, when a customer’s card gets used at a POS machine, the data contained within—name, card number, security code, etc.—gets sent to the system memory.  “There is that opportunity to steal the credit card information when it is in memory, perhaps even before your payment has even been authorized, and the data hasn't even been written to the hard drive yet,” says security researcher Graham Cluley.

So, why not encrypt the system’s memory, when it’s at its most vulnerable?  Not that simple, sadly: “No matter how strong your encryption is, if the system needs to process data or process the code, everything needs to be decrypted in memory,” Chris Elisan, principal malware scientist at security firm RSA, explained to Dark Reading.

There are certain steps a company can take, of course, and should take, to reduce the risk.  Strong passwords to access the POS machines, firewalls to isolate the POS network from the Internet, disabling remote access to POS systems, to name a few.  All the same, while these measures are vital and should be used, I don’t think, in light of recent breaches, they are sufficient.  Now, I wrote a short time ago about the impending October 2014 deadline imposed by the credit card industry, regarding the systematic switch to chipped credit card technology; adopting this standard will definitely assist in eradicating this problem.  But, until such a time when a widespread implementation of new systems comes about, always be vigilant to protect your data from attack, because what’s old is new again, and a colossal data breach is a story consumers are liable to seek financial restitution for.

Source:http://www.netlib.com/blog/application-security/RAM-Scraping-a-New-Old-Favorite-For-Hackers.asp

Saturday, 13 December 2014

Microfinance Data Scraping

I went to the Datakind‘s New York Datadive last November and met the Microfinance Information Exchange (MIX), a group that ‘delivers data services, analysis, research and business information on the institutions that provide financial services to the world’s poor’. They wanted to see whether web-scraping could save them from manually gathering data. So fellow divers and I showed MIX the utility of web-scraping. Over the course of a day, about six people scraped data about microfinance institutions from a bunch of websites, saving MIX an estimated year of manual data entry.

Over the past few months, I worked further with MIX to study who has access to what sorts of financial services. DataKind just put up our blog post about the project. Read the post, or just look at the map and explore the data.

Source:https://blog.scraperwiki.com/2012/05/microfinance-data-scraping/

Thursday, 11 December 2014

Content Scraping Reuses Blog Posts without Permission

What do popular blogs and websites such as Social Media Examiner, Copy Blogger, CNN.com, Mashable, and Type A Parent have in common? No, it’s not traffic and a loyal online community, each was a victim of the content scraping site “BuzzMyFx.” Although most bloggers fall victim to content scrapers at least once, the offending website was such an extreme case the backlash against it was fast and furious. Thanks to the quick action of many angry bloggers, BuzzMyFix was taken down in a matter of days.

If you’re not familiar with content scraping sites and aren’t sure why they’re bad and what you can do if you fall prey, read on. Not knowing what steps you can take to remove your content from a scraping site can mean someone else is profiting from your hard work.

What is content scraping?

Content scraping is when a blog or website pulls in other bloggers’ content without permission, in many cases passing it off as their own. Instead of stocking their sites with unique content, they steal entire blog posts. Some do leave the original authors’ bylines, but there are plenty that don’t provide attribution at all. This is not a good thing at all.

If you don’t care about someone taking your content and putting it on their blogs and websites without your permission, you should. These sites are stealing traffic, search engine rankings, and even advertising revenue from bloggers. Moreover, by ignoring scraping sites you’re giving the message that this practice is OK.

It’s not OK.

How was BuzzMyFx different?

BuzzMyFx was a little different from your usual scrapers. Bloggers didn’t just find their content had been posted on this site, they learned their entire blogs — down to the design and comments — had been cloned. Plus, any bloggers checking to see if their blogs were being cloned immediately found themselves being scraped as well. Dozens, if not hundreds of blogs were affected. However, bloggers didn’t take this incident sitting down. They spread the word and contacted the site’s host en masse. Thanks to their swift action, and the high number of complaints, the site was removed quickly.

How can I tell if my content is being scraped?

Fortunately for content creators, scrapers are a lazy bunch. Because their sites are automated, and they don’t check or read the content being pulled, they don’t take many precautions to ensure the people they scrape from don’t find their sites. In fact, they may not even care. Fortunately, this makes it easy to learn if your content is being stolen.

    Link to your own articles — When you write a blog post and link to other (of your own) blog posts within that post, it’s not only good SEO. You also will get pingbacks whenever someone else steals your content because of your interlinks. You’re alerted when someone links to your content, and when content is published with your links, you’ll get that alert.

    Google Alerts — If your name, blog’s name, or other unique keywords are set up as Google Alerts, you’ll receive an e-mail every time content is published with these keywords.

    Analytics — When people click on your links that are in scraped content, it will show up as referring traffic in your analytics program. You should always check referring traffic so you can thank the referring site owner, but also to make sure no one is stealing your content.

What steps can I take to remove my content from a scraper?

If you find your content is being stolen, know you have several options. First, you’ll need to find out who owns the scraping site. You can find this out by doing a WHOis domain lookup, which will enable you to search for the website’s details, including the name of the webmaster, contact info, and the name of the site’s host.

Keep in mind that sometimes the website’s owner will pay extra to have his or her name kept private, but you will always be able to find the name of the host. Once you have this information, you can take the necessary steps to have your content removed.

    Contact the site’s owner personally: Your first step should always be a polite request to remove your content immediately. Let the website owner know he or she is in violation of the Digital Millennium Copyright Act (DMCA), and you will take the necessary steps to report him if he doesn’t comply.

    Contact the site’s host: If you can’t find the name of the person who owns the site, or if he won’t comply with your takedown request, contact the website’s host. You’ll have to prove your content is being stolen. As the host can be held liable for allowing the content theft, it’s in their best interest to contact the website owner and request removal.

    Contact Google: You can contact Google and fill out a form to have them remove the website from their search engines.

    Spread the word: Let all your blogging friends know about content scrapers when you come across them. The more people who take action against content scrapers, the less likely they are to do it again.

Contacting the webmaster with a takedown notice doesn’t have to be an intimidating process, either. The website Plagiarism Today has a wonderful set of stock letters to use to contact webmasters, web hosts, and even Google. All you have to do is insert the necessary information.

Content scrapers and cloners may try to steal your content, but you don’t have to let them. Stand up for what’s yours.

Source: http://www.dummies.com/how-to/content/content-scraping-reuses-blog-posts-without-permiss.html

Thursday, 4 December 2014

Web scraping tutorial

There are three ways to access a website data. One is through a browser, the other is using a API (if the site provides one) and the last by parsing the web pages through code. The last one also known as Web Scraping is a technique of extracting information from websites using specially coded programs.

In this post we will take a quick look at writing a simple scraperusing the simplehtmldom library. But before we continue a word of caution:

Writing screen scrapers and spiders that consume large amounts of bandwidth, guess passwords, grab information from a site and use it somewhere else may well be a violation of someone’s rights and will eventually land you in trouble. Before writing  a screen scraper first see if the website offers an RSS feed or an API for the data you are looking. If not and you have to use a scraper, first check the websites policies regarding automated tools before proceeding.

Now that we have got all the legalities out of the way, lets start with the examples.

1. Installing simplehtmldom.

Simplehtmldom is a PHP library that facilitates the process of creating web scrapers. It is a HTML DOM parser written in PHP5 that let you manipulate HTML in a quick and easy way. It is a wonderful library that does away with the messy details of regular expressions and uses CSS selector style DOM access like those found in jQuery.

First download the library from sourceforge.  Unzip the library in you PHP includes directory or a directory where you will be testing the code.

Writing our first scraper.

Now that we are ready with the tools, lets write our first web scraper. For our initial idea let us see how to grab the sponsored links section from a google search page.

There are three ways to access a website data. One is through a browser, the other is using a API (if the site provides one) and the last by parsing the web pages through code. The last one also known as Web Scraping is a technique of extracting information from websites using specially coded programs.

In this post we will take a quick look at writing a simple scraperusing the simplehtmldom library. But before we continue a word of caution:

Writing screen scrapers and spiders that consume large amounts of bandwidth, guess passwords, grab information from a site and use it somewhere else may well be a violation of someone’s rights and will eventually land you in trouble. Before writing  a screen scraper first see if the website offers an RSS feed or an API for the data you are looking. If not and you have to use a scraper, first check the websites policies regarding automated tools before proceeding.

Source: http://www.codediesel.com/php/web-scraping-in-php-tutorial/