Data Scraping - About Hand Scraped Flooring

Hand scraped hardwood flooring is one of the best floors that you can install in your house.

Advantages of Hand Scraped Hardwood Flooring

The product comes with a number of advantages which include:

Antique and modern technology: The floor professionally brings out the best elements of both antique and modern technology. The modern elements are in the quality of the product.

Unique patterns: Who doesn't want to be unique? These floors allow you to create your unique design. If you are going to use a machine, all you need to do is to set the machine such that it creates the pattern that you want. If the floor will be scraped by a craftsman, you should ask the craftsman to craft your desired pattern.

Character: The different depths in the floor provide you with character and color that you can't find in other types of floors. As the sun changes its angle during the day, the nooks and valleys on the board lit differently thus providing your board with an endless rich appearance.

Durability: Experts have been able to show that hand-scraped hardwood retains its look for a long time. If your kid or pet hits the floor, the dent just blends with the rest of the character making it hard for people to tell that there is a dent.

Making the floors shine again

Although, the scraped floors are designed to look worn and aged, they are made from modern wood which needs to be taken care of in order to retain its original look.

To make the floors shine again you need to remove all the dust and dirt that might be causing the wood to look dull.

After doing this you should mix 1 gallon of warm water with ½ teaspoon of dishwashing detergent and use it to clean the surface of the floor. The aim of doing this is to remove any stains that might be on the floor. When you complete doing this you should dampen the piece of cloth with club soda and then use another piece of cloth to buff the wood until it shines.

Conclusion

This is what you need to know about hand scraped hardwood flooring. When cleaning the floors you should avoid using oil based soaps as they dull the surface making your efforts worthless.

If the above method of shining the floor doesn't work, you should mix one part white vinegar and one part of cooking oil and use it to clean the floor.

Source: http://ezinearticles.com/?About-Hand-Scraped-Flooring&id=8990255

Rvest: easy web scraping with R

Rvest is new package that makes it easy to scrape (or harvest) data from html web pages, by libraries like beautiful soup. It is designed to work with magrittr so that you can express complex operations as elegant pipelines composed of simple, easily understood pieces. Install it with:

install.packages("rvest")

rvest in action

To see rvest in action, imagine we’d like to scrape some information about The Lego Movie from IMDB. We start by downloading and parsing the file with html():

library(rvest)

lego_movie <- html("http://www.imdb.com/title/tt1490017/")

To extract the rating, we start with selectorgadget to figure out which css selector matches the data we want: strong span. (If you haven’t heard of selectorgadget, make sure to read vignette("selectorgadget") – it’s the easiest way to determine which selector extracts the data that you’re interested in.) We use html_node() to find the first node that matches that selector, extract its contents with html_text(), and convert it to numeric with as.numeric():

lego_movie %>%

  html_node("strong span") %>%
  html_text() %>%
  as.numeric()

#> [1] 7.9

We use a similar process to extract the cast, using html_nodes() to find all nodes that match the selector:

lego_movie %>%

  html_nodes("#titleCast .itemprop span") %>%
  html_text()

#>  [1] "Will Arnett"     "Elizabeth Banks" "Craig Berry"   

#>  [4] "Alison Brie"     "David Burrows"   "Anthony Daniels"

#>  [7] "Charlie Day"     "Amanda Farinos"  "Keith Ferguson"

#> [10] "Will Ferrell"    "Will Forte"      "Dave Franco"   

#> [13] "Morgan Freeman"  "Todd Hansen"     "Jonah Hill"

The titles and authors of recent message board postings are stored in a the third table on the page. We can use html_node() and [[ to find it, then coerce it to a data frame with html_table():

lego_movie %>%

  html_nodes("table") %>%
  .[[3]] %>%
  html_table()

#>                                              X 1            NA

#> 1 this movie is very very deep and philosophical   mrdoctor524

#> 2 This got an 8.0 and Wizard of Oz got an 8.1...  marr-justinm

#> 3                         Discouraging Building?       Laestig

#> 4                              LEGO - the plural      neil-476

#> 5                                 Academy Awards   browncoatjw

#> 6                    what was the funniest part? actionjacksin

Other important functions

    If you prefer, you can use xpath selectors instead of css: html_nodes(doc, xpath = "//table//td")).

    Extract the tag names with html_tag(), text with html_text(), a single attribute with html_attr() or all attributes with html_attrs().

    Detect and repair text encoding problems with guess_encoding() and repair_encoding().
    Navigate around a website as if you’re in a browser with html_session(), jump_to(), follow_link(), back(), and forward(). Extract, modify and submit forms with html_form(), set_values() and submit_form(). (This is still a work in progress, so I’d love your feedback.)

To see these functions in action, check out package demos with demo(package = "rvest").

Source: http://www.r-bloggers.com/rvest-easy-web-scraping-with-r/

Web Scraping : 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

Web Scraping Services - A trending technique in data science!!!

Web scraping as a market segment is trending to be an emerging technique in data science to become an integral part of many businesses – sometimes whole companies are formed based on web scraping. Web scraping and extraction of relevant data gives businesses an insight into market trends, competition, potential customers, business performance etc.  Now question is that “what is actually web scraping and where is it used???” Let us explore web scraping, web data extraction, web mining/data mining or screen scraping in details.

What is Web Scraping?

Web Data Scraping is a great technique of extracting unstructured data from the websites and transforming that data into structured data that can be stored and analyzed in a database. Web Scraping is also known as web data extraction, web data scraping, web harvesting or screen scraping.

What you can see on the web that can be extracted. Extracting targeted information from websites assists you to take effective decisions in your business.

Web scraping is a form of data mining. The overall goal of the web scraping process is to extract information from a websites and transform it into an understandable structure like spreadsheets, database or csv. Data like item pricing, stock pricing, different reports, market pricing, product details, business leads can be gathered via web scraping efforts.

There are countless uses and potential scenarios, either business oriented or non-profit. Public institutions, companies and organizations, entrepreneurs, professionals etc. generate an enormous amount of information/data every day.

Uses of Web Scraping:

The following are some of the uses of web scraping:

•    Collect data from real estate listing

•    Collecting retailer sites data on daily basis

•    Extracting offers and discounts from a website.

•    Scraping job posting.

•    Price monitoring with competitors.

•    Gathering leads from online business directories – directory scraping

•    Keywords research

•    Gathering targeted emails for email marketing – email scraping

•    And many more.

There are various techniques used for data gathering as listed below:

•    Human copy-and-paste – takes lot of time to finish when data is huge

•    Programming the Custom Web Scraper as per the needs.

•    Using Web Scraping Softwares available in market.

Are you in search of web data scraping expert or specialist. Then you are at right place. We are the team of web scraping experts who could easily extract data from website and further structure the unstructured useful data to uncover patterns, and help businesses for decision making that helps in increasing sales, cover a wide customer base and ultimately it leads to business towards growth and success.

We have got expertise in all the web scraping techniques, scraping data from ajax enabled complex websites, bypassing CAPTCHAs, forming anonymous http request etc in providing web scraping services.

The web scraping is legal since the data is publicly and freely available on the Web. Smart WebTech can probably help you to achieve your scraping-based project goals. We would be more than happy to hear from you.

Source: http://webdata-scraping.com/web-scraping-trending-technique-in-data-science/

Endorsing web scraping

With more than 200 projects delivered, we stand firmly for new challenges every day. We have served above 60 clients and have won 86% of repeat business, as our main core is customer delight. Successive Softwares was approached by a client having a very exclusive set of requirements. For their project they required customised data mining, in real time to offer profitable information to their customers. Requirement stated scrapping of stock exchange data in real time so that end users can be eased in their marketing decisions. This posed as an ambitious task for us because it required processing of huge amount of data on a routine basis. We welcomed it as an event to evolve and do something aside of classic web application development.

We started with mock-ups, pursuing our very first step of IMPART Framework (Innovative Mock-up based Prototypes Analyzed to develop Reengineered Technology). Our team of experts thought of all the potential requirements with a flow and materialized it flawlessly into our mock up. It was a strenuous tasks but our excitement to do something which others still do not think of, filled our team with confidence and energy and things began to roll out perfectly. We presented our mock-up and statistics to the client as per our expectation client choose us, impressed with the efforts.

We started gathering requirements from client side and started to formulate design about the flow. The project required real time monitoring of stock exchange together with Prices, Market Turnover and then implement them into graphs. The front end part was an easy deal, we were already adept in playing with data the way required. The intractable task was to get the data. We researched and found that it can be achieved either with API or with Web Scarping and we moved with latter because of the limitations in API.

Web scraping is a compelling technique to get the required information straight out of the web page. Lack of documentation and not much forbearance forced us to make a slow start, but we kept all the requirements clear and new that we headed in the right direction.  We divided the scraping process into bits of different but related tasks. Firstly we needed to find the data which has to be captured, some of the problems faced were pagination and use of AJAX but with examination of endpoints in URL and the requests made when data is drawn, we surmounted these problems easily.

After targeting our data we focused on HTML parser which could extract data form all the targets. Using PHP we developed a parser extracting all the information and saving them in Database in a structured way.  After the required data present at our end we easily manipulated it into tables and charts and we used HIGHSTOCK for that. Entire Client side was developed in PHP with Zend frame work and we used MySQL 5.7 for server side.

During the whole development cycle our QA team insured we were delivering a quality product following all standards. We kept our client in the loop during the whole process keeping them informed about every step. Clients were also assured as they watched their project starting from scratch which developed into full fledge website. The process followed a strict time line releasing regular builds and implementing new improvements. We stood up to the expectation our client and delivered a product just as they visualized it to be.

Source: http://www.successivesoftwares.com/endorsing-web-scraping/

What you need to know about web scraping: How to understand, identify, and sometimes stop

NB: This is a gust article by Rami Essaid, co-founder and CEO of Distil Networks.

Here’s the thing about web scraping in the travel industry: everyone knows it exists but few know the details.

Details like how does web scraping happen and how will I know? Is web scraping just part of doing business online, or can it be stopped? And lastly, if web scraping can be stopped, should it always be stopped?

These questions and the challenge of web scraping are relevant to every player in the travel industry. Travel suppliers, OTAs and meta search sites are all being scraped. We have the data to prove it; over 30% of travel industry website visitors are web scrapers.

Google Analytics, and most other analytics tools do not automatically remove web scraper traffic, also called “bot” traffic, from your reports – so how would you know this non-human and potentially harmful traffic exists? You have to look for it.

This is a good time to note that I am CEO of a bot-blocking company called Distil Networks, and we serve the travel industry as well as digital publishers and eCommerce sites to protect against web scraping and data theft – we’re on a mission to make the web more secure.

So I am admittedly biased, but will do my best to provide an educational account of what we’ve learned to be true about web scraping in travel – and why this is an issue every travel company should at the very least be knowledgeable about.

Overall, I see an alarming lack of awareness around the prevalence of web scraping and bots in travel, and I see confusion around what to do about it. As we talk this through I’ll explain what these “bots” are, how to find them and how to manage them to better protect and leverage your travel business.

What are bots, web scrapers and site indexers? Which are good and which are bad?

The jargon around web scraping is confusing – bots, web scrapers, data extractors, price scrapers, site indexers and more – what’s the difference? Allow me to quickly clarify.

–> Bots: This is a general term that refers to non-human traffic, or robot traffic that is computer generated. Bots are essentially a line of code or a program that is created to perform specific tasks on a large scale.  Bots can include web scrapers, site indexers and fraud bots. Bots can be good or bad.

–> Web Scraper: (web harvesting or web data extraction) is a computer software technique of extracting information from websites (source, Wikipedia). Web scrapers are usually bad.

If your travel website is being scraped, it is most likely your competitors are collecting competitive intelligence on your prices. Some companies are even built to scrape and report on competitive price as a service. This is difficult to prove, but based on a recent Distil Networks study, prices seem to be main target.You can see more details of the study and infographic here.

One case study is Ryanair. They have been particularly unhappy about web scraping and won a lawsuit against a German company in 2008, incorporated Captcha in 2011 to stop new scrapers, and when Captcha wasn’t totally effective and Cheaptickets was still scraping, they took to the courts once again.

So Ryanair is doing what seems to be a consistent job of fending off web scrapers – at least after the scraping is performed. Unfortunately, the amount of time and energy that goes into identifying and stopping web scraping after the fact is very high, and usually this means the damage has been done.

This type of web scraping is bad because:

    Your competition is likely collecting your price data for competitive intelligence.

    Other travel companies are collecting your flights for resale without your consent.

    Identifying this type of web scraping requires a lot of time and energy, and stopping them generally requires a lot more.

Web scrapers are sometimes good

Sometimes a web scraper is a potential partner in disguise.

Meta search sites like Hipmunk sometimes get their start by scraping travel site data. Once they have enough data and enough traffic to be valuable they go to suppliers and OTAs with a partnership agreement. I’m naming Hipmunk because the Company is one of th+e few to fess up to site scraping, and one of the few who claim to have quickly stopped scraping when asked.

I’d wager that Hipmunk and others use(d) web scraping because it’s easy, and getting a decision maker at a major travel supplier on the phone is not easy, and finding legitimate channels to acquire supplier data is most definitely not easy.

I’m not saying you should allow this type of site scraping – you shouldn’t. But you should acknowledge the opportunity and create a proper channel for data sharing. And when you send your cease and desist notices to tell scrapers to stop their dirty work, also consider including a note for potential partners and indicate proper channels to request data access.

–> Site Indexer: Good.

Google, Bing and other search sites send site indexer bots all over the web to scour and prioritize content. You want to ensure your strategy includes site indexer access. Bing has long indexed travel suppliers and provided inventory links directly in search results, and recently Google has followed suit.

–> Fraud Bot: Always bad.

Fraud bots look for vulnerabilities and take advantage of your systems; these are the pesky and expensive hackers that game websites by falsely filling in forms, clicking ads, and looking for other vulnerabilities on your site. Reviews sections are a common attack vector for these types of bots.

How to identify and block bad bots and web scrapers

Now that you know the difference between good and bad web scrapers and bots, how do you identify them and how do you stop the bad ones? The first thing to do is incorporate bot-identification into your website security program. There are a number of ways to do this.

In-house

When building an in house solution, it is important to understand that fighting off bots is an arms race. Every day web scraping technology evolves and new bots are written. To have an effective solution, you need a dynamic strategy that is always adapting.

When considering in-house solutions, here are a few common tactics:

    CAPTCHAs – Completely Automated Public Turing Tests to Tell Computers and Humans Apart (CAPTCHA), exist to ensure that user input has not been generated by a computer. This has been the most common method deployed because it is simple to integrate and can be effective, at least at first. The problem is that Captcha’s can be beaten with a little workand more importantly, they are a nuisance to end usersthat can lead to a loss of business.

    Rate Limiting- Advanced scraping utilities are very adept at mimicking normal browsing behavior but most hastily written scripts are not. Bots will follow links and make web requests at a much more frequent, and consistent, rate than normal human users. Limiting IP’s that make several requests per second would be able to catch basic bot behavior.

    IP Blacklists - Subscribing to lists of known botnets & anonymous proxies and uploading them to your firewall access control list will give you a baseline of protection. A good number of scrapers employ botnets and Tor nodes to hide their true location and identity. Always maintain an active blacklist that contains the IP addresses of known scrapers and botnets as well as Tor nodes.

    Add-on Modules – Many companies already own hardware that offers some layer of security. Now, many of those hardware providers are also offering additional modules to try and combat bot attacks. As many companies move more of their services off premise, leveraging cloud hosting and CDN providers, the market share for this type of solution is shrinking.

    It is also important to note that these types of solutions are a good baseline but should not be expected to stop all bots. After all, this is not the core competency of the hardware you are buying, but a mere plugin.

Some example providers are:

    Impreva SecureSphere- Imperva offers Web Application Firewalls, or WAF’s. This is an appliance that applies a set of rules to an HTTP connection. Generally, these rules cover common attacks such as Cross-site Scripting (XSS) and SQL Injection. By customizing the rules to your application, many attacks can be identified and blocked. The effort to perform this customization can be significant and needs to be maintained as the application is modified.

    F5 – ASM – F5 offers many modules on their BigIP load balancers, one of which is the ASM. This module adds WAF functionality directly into the load balancer. Additionally, F5 has added policy-based web application security protection.

Software-as-a-service

There are website security software options that include, and sometimes specialize in web scraping protection. This type of solution, from my perspective, is the most effective path.

The SaaS model allows someone else to manage the problem for you and respond with more efficiency even as new threats evolve.  Again, I’m admittedly biased as I co-founded Distil Networks.

When shopping for a SaaS solution to protect against web scraping, you should consider some of the following factors:

•    Does the provider update new threats and rules in real time?

•    How does the solution block suspected non-human visitors?

•    Which types of proactive blocking techniques, such as code injections, does the provider deploy?

•    Which of the reactive techniques, such as rate limiting, are used?

•    Does the solution look at all of your traffic or a snapshot?

•    Can the solution block bots before they reach your infrastructure – and your data?

•    What kind of latency does this solution introduce?

I hope you now have a clearer understanding of web scraping and why it has become so prevalent in travel, and even more important, what you should do to protect and leverage these occurrences.

Source: http://www.tnooz.com/article/what-you-need-to-know-about-web-scraping-how-to-understand-identify-and-sometimes-stop/

Roles of Data Mining in Predicting, Tracking, and Containing the Ebola Outbreak

One of the most diverse continents on earth, Africa astounds the world with its vast savannas and great deserts and with its ancient architecture and modern cities, but Africa also has its share of tragedies and woes.

First identified in Democratic Republic of Congo’s Ebola River in 1976, Ebola Hemorrhagic Fever, a deadly zoonotic disease caused by Ebola virus, has been spreading in West Africa like a wildfire, engulfing everything on its way and creating widespread panic.

What has added insult to injury is the fact that the region has long endured the severe consequences of civil wars and social conflicts, and diseases like malaria, HIV/AIDS, yellow fever, cholera etc. have remained endemic to the region for a long time, causing tens of thousands of deaths every year.

Reportedly, Ebola has already killed at least 2,296 people, and there are about 3,685 confirmed cases of infection. Mortality rate has been swinging between 50% to 90%, depending on the quality of care and nutrition. According to WHO, the disease is likely to infect as much as 20,000 people before it is finally brought under control.

Crisis of Data

When it comes to healthcare management, clinical data is one of the key components. The value of data becomes more urgent in the emergency situation like that of West Africa. The more relevant data you have, the bigger picture you can create for taking aggressive measures. To use Peter Drucker’s words, “What gets measured gets managed.”

Factual data is a precondition for the doctors and health science experts working in the field for measuring and managing the situation. Data helps them to assess their successes or failures and reorient their actions. One of the important reasons why the fight against the Ebola outbreak is turning out into a losing battle is the insufficiency of data. Recently, Scientific American magazine wrote:

Right now, there are not even enough beds for sick patients nor enough data coming in to help track cases. Surveillance and tracking of those who were possibly exposed to Ebola remain inadequate.

In Science magazine, Gretchen Vogel suggests that the death toll of Ebola patients could be much higher than it is currently estimated. She says, “Exactly how many unrecorded Ebola deaths have occurred will never be known. Health officials are keeping track of suspected and probable cases, many of which are people who died before they could be tested.” Greg Slabodkin voices similar concerns in Health Data Management and points at the need of an integrated global biosurveillance system.

The absence of reliable and actionable data has badly hampered the efforts of combatting Ebola and providing proper medical care to the victims. CDC Director Dr. Tom Frieden describes it as a “fog-of-war situation”.

Data Mining: Bots Were the First to Warn

When you flip the coin, however, the situation is not completely bleak and desperate. Even if Big Data technologies have fallen short in predicting, tracking, and containing the epidemic, mainly due to the lack of data from the ground, it has not entirely failed. Data scientists and healthcare experts world over are making concerted efforts to know, track, and defeat the Ebola virus—some on the ground and some in their labs.

The increasing level of collaboration among the biomedical specialists, geneticist, virologists, and IT experts has definitely contributed to slow down the transmission of the virulent disease dubbed as “the plague of modern day”. Médecins Sans Frontières and Healthmap.org are the excellent examples in this regard.

    “By deploying bots and crawlers and by using advanced machine learning algorithms, the Boston-based global infectious disease surveillance system, HealthMap was able to predict and raise concerns about the spread of a mysterious hemorrhagic fever in West Africa nine days earlier than WHO did.”

Run by a team of 45 researchers, epidemiologists, and software developers at Boston Children’s Hospital, HealthMap mines data from search engine queries, social media platforms, health information sites, news reports and crowd-sourced information to track the transmission of the disease and provides an up-to-date timeline report with an interactive map, making it easier for the international health agencies to devise more effective action plans.

HealthMap serves as a good example of how crucial Big Data and data mining technologies could be for handling a healthcare emergency with fact-based and data-driven decisions.

Ebola Data

In their letter to The Lancet, research scientist Rashid Ansumana and his colleagues, working on Ebola in Sierra Leone, highlighted on the need of developing epidemic surveillance systems “by adopting new data-sharing technologies.” They wrote, “Emerging technologies can help early warning systems, outbreak response, and communication between health-care providers, wildlife and veterinary professionals, local and national health authorities, and international health agencies.”

Data-Driven Initiatives to Control the Outbreak

The era of systematic use of data for making better epidemiological predictions and for finding effective healthcare solutions began with Google Flue Trends in 2007, and the rapidly developing tools, technologies, and practices in Big Data have increased the roles of data in healthcare management.

There are a number of data-driven undertakings in progress which have contributed to counter the raging spread of Ebola. Brockmann Lab, run by Professor Dirk Brockmann and his colleagues, for example, has created a computer model for studying correlations and probabilities in the explosion of new cases of infection.

World Airtraffic  Transportation and Relative Import Risk, Source: Brockmann Lab

By applying computational and statistical models, they predict which areas, cities or regions in the world are at the risk of becoming the next Ebola epidemic hotspots. Similarly, Alessandro Vespignani–a network scientist, statistical physicist, and Northeastern professor–has been using human mobility network data to track the cases of Ebola infection and dissemination.

The Swedish NGO Flowminder Foundation has been aggregating, mining, and analyzing anonymized mobile phone location data and is developing national mobility estimates for West Africa to help the local and international agencies to combat the disease.

Meanwhile, innovations with Epi Info VHF, a software tool for case management, contact tracing, analysis and reporting services for Ebola and other hemorrhagic fever outbreaks and OpenStreetMap project for getting location information and spatial data of the affected areas have further helped to guide the intervention initiatives.

However, with all optimism about the growing roles of Big Data and data mining, we also need to be mindful about their limitations. Newsweek aptly puts: “While no media-trawling bot could ever replace national and international health agencies, such tools may be starting to help fill in some of the most gaping holes in real-time knowledge.”

Source: http://www.grepsr.com/blog/data-mining-tracking-ebola-outbreak/

Hard-Scraped Hardwood Flooring: Restoration of History

Throughout History hardwood flooring has undergone dramatic changes from the meticulous hard-scraped hardwood polished floors of majestic plantations of the Deep South, to modern day technology providing maintenance free wood flooring designed for comfort and appearance. The hand-scraped hardwood floors of the South, depicted charm with old rustic nature and character that was often associated with this time era. To date, hand-scraped hardwood flooring is being revitalized and used in up-scale homes and places of businesses to restore the old country charm that once faded into oblivion.

As the name implies, hand-scraped flooring involves the retexturing the top layer of flooring material by various methods in an attempts to mimic the rustic appearance of flooring in yesteryears. Depending on the degree of texture required, hand scraping hardwood material is often accomplished by highly skilled craftsmen with specialized tools and years of experience perfecting this procedure. When properly done, hand-scraped hardwood floors add texture, richness and uniqueness not offered in any similar hardwood flooring product.

Rooted with history, these types of floors are available in finished or unfinished surfaces. The majority of the individuals selecting hand-scraped hardwood flooring elect a prefinished floor to reduce costs per square foot in installation and finishing labor charges, allowing for budget guidelines to bend, not break. As expected, hand-scraped flooring is expensive and depending on the grade and finish selected, can range from $15-40$ per square foot and beyond for material only. Preparation of the material is labor intensive adding to the overall cost per square foot dramatically. Recommended professional installation can and often does increase the cost per square foot as well, placing this method of hardwood flooring well out of reach of the average hardwood floor purchaser.

With numerous selections of hand-scraped finishes available, each finish is designed to bring out a different appearance making it a one-of-a-kind work of art. These numerous finish selections include:

• Time worn aged, dark coloring stain application bringing out grain characteristics

• Wire brushed, providing a highlighted "grainy" effect with obvious rough texture

• Hand sculpted, smoother distressed uniform appearance

• French Bleed, staining of edges and side joints with a much darker stain to give a bleeding effect to the wood

• Hand Hewn or Rough Sawn, with visible and noticeable saw marks

Regardless of the selection made, scraped flooring cannot be compared to any other available flooring material based on durability, strength and visual appearance. Limited by only the imagination and creativity, several wood species can be used to create unusual floor patterns, highlighting main focal points of personal libraries and art collections.

The precise process utilized in the creation of scraped floors projects a custom look with deep color and subtle warm highlights. With radiant natural light reflecting off this type of floor, the effect of beauty and depth is radiated in a fashion that fills the room with solitude and serenity encompassing all that enter. Hand-scraped hardwood floors speak of the past, a time of decent, a time or war and ambiguity towards other races and the blood- shed so that all men could be treated as equals. More than exquisite flooring, hand-scraped hardwood flooring is the restoration of History.

Source: http://ezinearticles.com/?Hard-Scraped-Hardwood-Flooring:-Restoration-of-History&id=6333218

Introducing ScrapeShield: Discover, Defend & Deter Content Scraping

If you're a publisher, whether an individual blogger or major media outlet, you've undoubtedly experienced content scraping. Searching the web for an article you've published or other original content you've created and you find it copied and republished on some other random website. Often the site will be full of ads. And, sometimes, it will even rank higher in search results than your original work.

While you may envision an army of individuals copying and pasting your content on their sites, the truth is content scraping is typically an automated process with bots that grab original content and then republish it without human intervention onto link farm sites. CloudFlare has blocked many of these bots automatically in the past, but we decided it was time to do something to more actively stop them.

Introducing ScrapeShield

ScrapeShield is an app created by the CloudFlare team. It incorporates several existing CloudFlare features like email obfuscation and hotlink protection that serve to protect from content scraping and adds a number of new features as well. Because we believe every publisher of original content should be able to understand and control how their work is used, we're providing ScrapeShield free for every CloudFlare user.

Detect, Defend & Deter

ScrapeShield has different elements to help you detect when your content is scraped, defend your site against content scrapers, and even deter content scrapers from targeting you in the first place. If you enable ScrapeShield, CloudFlare will automatically insert invisible tracking beacons in your content. When automated bots scrape your content, they pull the beacons along with them. CloudFlare detects these beacons when they ping from sites that aren't your own. You can access your ScrapeShield control panel to see where your content is being republished. Not only is this useful in showing scraping, but you can also see users who are reading your content through proxy services like Flipboard or Pulse.

The data from the content beacons is fed back into CloudFlare's protection system. As CloudFlare identifies content scraping bots, we automatically prevent them from accessing your site. Just like Project Honey Pot, the original inspiration for CloudFlare, used traps to detect when spammers were harvesting email addresses, CloudFlare now uses data from ScrapeShield to identify content scrapers and keep them off publishers' sites.

Maze

We didn't want to just stop scrapers from attacking sites on CloudFlare, we also wanted to tie up their resources so they couldn't harm the rest of the web. To do this, we created Maze. Maze routes known content scrapers who are visiting ScrapeShield-protected sites into a virtual labyrinth of gibirish and gobbledygook. We dynamically throttle the bandwidth and speed so instead of the pages loading as fast as possible, the connection is held open to the scrapers and their resources are tied up.

We use excess resources on the CloudFlare network to generate Maze, and it doesn't consume any of our publishers' resources or add any additional load to their sites. What's beautiful about the system is that the only way that content scrapers can be sure they're avoiding Maze is to avoid CloudFlare's IP addresses entirely. For any content scrapers who may be reading this, here's a helpful list of all of our IPs so you can make sure to stay away.

No Pinning

Finally, with the rise of sites like Pinterest, innocent content scraping may become even more prolific. While many sites welcome their images being pinned, we wanted to make it easy to opt out. ScrapeShield includes an option to add the no-pinning meta tag to your site to prevent your images from being pinned to the site. As other similar services include a mechanism to opt out, expect that we'll include an easy way for you to do so right from the ScrapeShield interface.

The health of the web depends on publishers creating original content getting credit for their creations. Cloud Flare is committed to building a better web and we're extremely excited about ScrapeShield as a new tool to help publishers do exactly that.

Source: https://blog.cloudflare.com/introducing-scrapeshield-discover-defend-dete/

Web Data Scraping - Scrape Business Data in no time

The Internet has evolved as one of the largest repositories of information for your business. You can design intelligent business processes to access a whole host of relevant information sources that will help you strategize, implement and deliver effective business objectives. Leveraging the benefits and usefulness of Web Scraping Tools is one such methodology that most businesses have adopted. Let us take a look at some of the ways it helps you easily scrape data relevant for your business.

Scraping for Business Information

Web Data Scraping is a technique, employed by most organizations. It involves the implementation of tools that help businesses extract unstructured data and convert them into usable business information. The focus of most scraping initiatives revolves around the organization’s need to glean the following information:

•    Competitor analysis to structure and strategist effectively

•    Price comparisons to price their products competitively

•    Customer feedbacks to enhance their product portfolio and provide customers with better brand experience   Market dynamics to help them identify areas of opportunities and threats

Using Scraping Tools

The abundance of information available on the Internet that helps you build up a productive business strategy can be easily extracted and leveraged to benefit your business. Tools have been designed with intuitive interface and intelligent algorithms which help in furthering this end.

Website Data Scraping tools are equipped for compatibility with a wide variety of applications so as to be able to explore a huge range of information sources.  These tools are fully automated and display the drag and drop facility ensuring users get to leverage the benefits of speed and convenience.

Data extraction tools are not only adept at extracting data, but are also equally well-equipped to combine relevant statistics from several social media platforms like YouTube, Twitter, and Google Analytics and so on. This helps businesses to analyse trends and plan strategies accordingly.

Challenges of the Data Scraping Process

Just as there is no dearth of data to be collected from the Web, there is also an abundance of web scraping tools to execute the data collection process. However, the capability of the tool to help you collect the appropriate data needs to be assured before you can proceed with its implementation. Some of the challenges faced by most businesses owing to their wrong choice of tools include the following:

•    Run-of-the-mill extraction tools are unable to scale up sufficiently in order to capture large volumes of data

•    Some tools are also unable to establish compatibility with most data sources and therefore do not provide a holistic data collection approach

•    Some tools are also not equipped to conduct an automatic detection of updates made to a data source and therefore end up providing inaccurate data.

In the light of all this it is essential that you identify the right tool for your need and select one that is embedded with an updated technology to help you achieve the following:

•    Ensure that you are able to access the appropriate data that you want

•    Help you structure it in the format you want

•    Provide quick and easy access to all available data sources no matter how complex

•    Run accurately and is a reliable source to help you churn out usable information.

Source: http://scraping-solutions.blogspot.in/2014_07_01_archive.html

Web Scraping – Effective Way of Improving Market Presence

Web scraping is a technique that is fast making its presence felt in the world of internet by its sheer weight of being effective. It is a technique that uses software to crawl through the internet and gather up all the relevant and important information that one would need for their products.

The information gathered by the web scraping can be used for various things such as data integration, web mashup, online comparison of price and much more. Web scraping uses sophisticated software that crawls through the internet and gathers up all related information for the entity that you are looking for. The information that is gathered up is an automated, systematic, and very structured way. This allows for easy understanding of the gathered information. Though this is one of the best ways for data extraction there are quite a few things that one must be aware of before getting into web scraping.

Being aware of the following things keep you at a better position not only leverage the best deal, but also to negotiate properly.

•    For data mining the first thing that one should be very sure of is the kind of data they want. One has to define properly what kind of data they want and also what would be the purpose of the same. For an instance if you wish to get a closer look at your competitors, it would be a wise to let the data scraping service providers know who your competitors are. This would allow them to gather better information. Similarly if you are looking for getting new customers getting contact data from existing players in the respective industry would be helpful.

•    One should also be aware of the structure in which they want the data. A simple data structure has the entity name in the row and the property of the entity is kept in the cells of the rows. However, one can also opt for data structure in chart. Apart from the above, there is just one more thing that one needs to keep in mind while using the data mining services; it is the number of data extraction. At times a onetime data extraction would be sufficient whereas at other times periodic extractions or general reports are required.

If you are aware of all the above points, then you are very much inline of going ahead and taking the help of scrape website data. Knowing the above points would allow you to know what exactly to ask from your vendor and likewise quote. One can make the most of the data extraction services with the help of either the web scraping or web crawling services.

Source: https://3idatascraping.wordpress.com/2014/01/07/web-scraping-effective-way-of-improving-market-presence/

Scraping the Bottom of the Barrel - The Perils of Online Article Marketing

Many online article marketers so desperately wish to succeed, they want to dump corporate life and work for themselves out of their home. They decide they are going to create an online money making website. Therefore, they look around to see what everyone else is doing, and watch the methods others use to attract online buyers, and then they mimic their marketing, their strategies, and their business models.

Still, if you are copying what other people (less ethical people) are doing in online article marketing, those which are scraping the bottom of the barrel and using false advertising and misrepresentations, then all you are really doing is perpetuating distrust on the Internet. Therefore, you are hurting everyone, including people like me. You must realize that people like me don't appreciate that.

Let me give you a few examples of some of the things going on out there, thing that are being done by people who are ethically challenged. Far too many people write articles and then on their byline they send the Internet surfer or reader of the article to a website that has a squeeze page. The squeeze page has no real information on it, rather it asks for their name and e-mail address.

If the would-be Internet surfer is unwise enough to type in their name and email address they will be spammed by e-mail, receiving various hard-sell marketing pieces. Then, if the Internet Surfer does decide to put in their e-mail address, the website grants them access and then takes them to the page with information about what they are selling, or their online marketing "make you a millionaire" scheme.

Generally, these are five page sales letters, with tons of testimonials of people you've never heard of, and may not actually exist, and all sorts of unsubstantiated earnings claims of how much money you will make if you give them $39.35 by way of PayPal, for this limited offer "Now!" And they will send you an E-book with a strategic plan of how you can duplicate what they are doing. The reality is whatever they are doing is questionable to begin with.

If you are going to do online article marketing please don't scrape the bottom of the barrel, there's just too much competition down there from what I can see. Please consider all this.

Source: http://ezinearticles.com/?Scraping-the-Bottom-of-the-Barrel---The-Perils-of-Online-Article-Marketing&id=2710103

Hand Scraped Versus Machine Scraped Floors - The Distinction

In society today hardwood flooring has become the new must have. The days of carpet are gone, and if you have looked into bringing your home up to date with the styling of today you will have noticed by now that there are many different options. At times this may become very overwhelming, especially if you are not a hardwood specialist like most people are not. That is why this article is here to help you understand the many different options available to you.

The flooring type covered in this article is hand scraped flooring. This flooring type is a custom look flooring that is in very high demand in flooring marketplace, which is understandable because it is probably the most unique flooring there is. You can choose from many different types of wood species such as oak, maple, hickory, and most exotic species. There is computerized hand scraped that is when the manufacturer makes one piece of wood and places it into a computer that will cut thousands of different wood types with that one design. This type of process is also known as machine scraping. Hardwood floors employing this type of technology usually cost less, but most of the pieces look the same because the hand scraping is done by a machine.

Then you have actual hand scraped flooring that is done all by hand and takes more time and effort than machine scraped. This flooring is made custom each individual piece is scraped and notched in different ways, so every piece is unique. If you decide to purchase actual hand scraped flooring it will cost you more than mass produced computerized version but it will definitely be the more unique option. If you are the type of person who wants to have a one of kind floor then an actual hand scraped floor is the way to go.

So in conclusion hand scraped flooring is a great option for a lot of people. It comes in several different wood types, and several different colors. You can find flooring options for every budget and to meet every style. If having a custom floor in your home it may be important or not important on whether it be computer or done by hand. Most consumers cannot tell the difference between actual hand scraped flooring and machine scraped when just looking at a small sample. So when shopping at your local retailer ask the tough questions and find out if the manufacturer uses machine or authentic hand scrapping on their products.

To view your many options on hand scraped flooring please check out our website that covers all hardwood flooring options.

Source: http://ezinearticles.com/?Hand-Scraped-Versus-Machine-Scraped-Floors---The-Distinction&id=4151157

Some Traps to know and avoid in Web Scraping

In the present day and age, web scraping comes across as a handy tool in the right hands. In essence, web scraping means quickly crawling the web for specific information, using pre-written programs. Scraping efforts are designed to crawl and analyze the data of entire websites, and saving the parts that are needed. Many industries have successfully used web scraping to create massive banks of relevant, actionable data that they use on a daily basis to further their business interests and provide better service to customers. This is the age of the Big Data, and web scraping is one of the ways in which businesses can tap into this huge data repository and come up with relevant information that aids them in every way.

Web scraping, however, does come with its own share of problems and roadblocks. With every passing day, a growing number of websites are trying to actively minimize the instance of scraping and protect their own data to stay afloat in today’s situation of immense competition. There are several other complications which might arise and several traps that can slow you down during your web scraping pursuits. Knowing about these traps and how to avoid them can be of great help if you want to successfully accomplish your web scraping goals and get the amount of data that you require.

Complications in Web Scraping

Over time, various complications have risen in the field of web scraping. Many websites have started to get paranoid about data duplication and data security problems and have begun to protect their data in many ways. Some websites are not generally agreeable to the moral and ethical implications of web scraping, and do not want their content to be scraped. There are many places where website owners can set traps and roadblocks to slow down or stop web scraping activities. Major search engines also have a system in place to discourage scraping of search engine results. Last but not the least, many websites and web services announce a blanket ban on web scraping and say the same in their terms and conditions, potentially leading to legal issues in the event of any scraping.

Here are some of the most common complications that you might face during your web scraping efforts which you should be particularly aware about –

•    Some locations on the intranet might discourage web scraping to prevent data duplication or data theft.

•    Many websites have in place a number of different traps to detect and ban web scraping tools and programs.

•    Certain websites make it clear in their terms and conditions that they consider web scraping an infringement of their privacy and might even consider legal redress.

•    In a number of locations, simple measures are implemented to prevent non-human traffic to websites, making it difficult for web scraping tools to go on collecting data at a fast pace.

To surmount these difficulties, you need a deeper and more insightful understanding of the way web scraping works and also the attitude of website owners towards web scraping efforts. Most major issues can be subverted or quietly avoided if you maintain good working practice during your web scraping efforts and understand the mentality of the people whose sites you are scraping.

Common Problems

With automated scraping, you might face a number of common problems. The behavior of web scraping programs or spiders presents a certain picture to the target website. It then uses this behavior to distinguish between human users and web scraping spiders. Depending on that information, a website may or may not employ particular web scraping traps to stop your efforts. Some of the commonly employed traps are –

Crawling Pattern Checks – Some websites detect scraping activities by analyzing crawling patterns. Web scraping robots follow a distinct crawling pattern which incorporates repetitive tasks like visiting links and copying content. By carefully analyzing these patterns, websites can determine that they are being caused by a web scraping robot and not a human user, and can take preventive measures.

Honeypots – Some websites have honeypots in their webpages to detect and block web scraping activities. These can be in the form of links that are not visible to human users, being disguised in a certain way. Since your web crawler program does not operate the way a human user does, it can try and scrape information from that link. As a result, the website can detect the scraping effort and block the source IP addresses.

Policies – Some websites make it absolutely apparent in their terms and conditions that they are particularly averse to web scraping activities on their content. This can act as a deterrent and make you vulnerable against possible ethical and legal implications.

Infinite Loops – Your web scraping program can be tricked into visiting the same URL again and again by using certain URL building techniques.

These traps in web scraping can prove to be detrimental to your efforts and you need to find innovative and effective ways to surpass these problems. Learning some web crawler tips to avoid traps and judiciously using them is a great way of making sure that your web scraping requirements are met without any hassle.

What you can do

The first and foremost rule of thumb about web scraping is that you have to make your efforts as inconspicuous as possible. This way you will not arouse suspicion and negative behavior from your target websites. To this end, you need a well-designed web scraping program with a human touch. Such a program can operate in flexible ways so as to not alert website owners through the usual traffic criteria used to spot scraping tools.

Some of the measures that you can implement to ensure that you steer clear of common web scraping traps are –

•    The first thing that you need to do is to ascertain if a particular website that you are trying to scrape has any particular dislike towards web scraping tools. If you see any indication in their terms and conditions, tread cautiously and stop scraping their website if you receive any notification regarding their lack of approval. Being polite and honest can help you get away with a lot.

•    Try and minimize the load on every single website that you visit for scraping. Putting a high load on websites can alert them towards your intentions and often might cause them to develop a negative attitude. To decrease the overall load on a particular website, there are many techniques that you can employ.

•    Start by caching the pages that you have already crawled to ensure that you do not have to load them again.

•    Also store the URLs of crawled pages.

•    Take things slow and do not flood the website with multiple parallel requests that put a strain on their resources.

•    Handle your scraping in gentle phases and take only the content you require.

•    Your scraping spider should be able to diversify its actions, change its crawling pattern and present a polymorphic front to websites, so as not to cause an alarm and put them on the defensive.

•    Arrive at an optimum crawling speed, so as to not tax the resources and bandwidth of the target website. Use auto throttling mechanisms to optimize web traffic and put random breaks in between page requests, with the lowest possible number of concurrent requests that you can work with.

•    Use multiple IP addresses for your scraping efforts, or take advantage of proxy servers and VPN services. This will help to minimize the danger of getting trapped and blacklisted by a website.

•    Be prepared to understand the respect the express wishes and policies of a website regarding web scraping by taking a good look at the target ‘robots.txt’ file. This file contains clear instructions on the exact pages that you are allowed to crawl, and the requisite intervals between page requests. It might also specify that you use a pre-determined user agent identification string that classifies you as a scraping bot. adhering to these instructions minimizes the chance of getting on the bad side of website owners and risking bans.

Use an advanced tool for web scraping which can store and check data, URLs and patterns. Whether your web scraping needs are confined to one domain or spread over many, you need to appreciate that many website owners do not take kindly to scraping. The trick here is to ensure that you maintain industry best practices while extracting data from websites. This prevents any incident of misunderstanding, and allows you a clear pathway to most of the data sources that you want to leverage for your requirements.

Hope this article helps in understanding the different traps and roadblocks that you might face during your web scraping endeavors. This will help you in figuring out smart, sensible ways to work around them and make sure that your experience remains smooth. This way, you can keep receiving the important information that you need with web scraping. Following these basic guidelines can help you prevent getting banned or blacklisted and stay in the good books of website owners. This will allow you continue with your web scraping activities unencumbered.

Source: https://www.promptcloud.com/blog/some-traps-to-avoid-in-web-scraping/

The Coal Mining Industry And Investing In It

The History Of Coal Usage

Coal was initially used as a domestic fuel, until the industrial revolution, when coal became an integral part of manufacturing for creating electricity, transportation, heating and molding purposes. The large scale mining aspect of coal was introduced around the 18th century, and Britain was the first nation to successfully use advanced coal mining techniques, which involved underground excavation and mining.

Initially coal was scraped off the surface by different processes like drift and shaft mining. This has been done for centuries, and since the demand was quite low, these mining processes were more than enough to accommodate the demand in the market.

However, when the practical uses of using coal as fuel sparked industrial revolution, the demand for coal rose abruptly, leading to severe shortage of the coal output, gradually paving the way for new ways to extract coal from under the ground.

Coal became a popular fuel for all purposes, even to this day, due to their abundance and their ability to produce more energy per mass than other conventional solid fuels like wood. This was important as far as transportation, creating electricity and manufacturing processes are concerned, which allowed industries to use up less space and increase productivity. The usage of coal started to dwindle once alternate energies such as oil and gas began to be used in almost all processes, however, coal is still a primary fuel source for manufacturing processes to this day.

The Process Of Coal Mining

Extracting coal is a difficult and complex process. Coal is a natural resource, a fossil fuel that is a result of millions of years of decay of plants and living organisms under the ground. Some can be found on the surface, while other coal deposits are found deep underground.

Coal mining or extraction comes broadly in two different processes, surface mining, and deep excavation. The method of excavation depends on a number of different factors, such as the depth of the coal deposit below the ground, geological factors such as soil composition, topography, climate, available local resources, etc.

Surface mining is used to scrape off coal that is available on the surface, or just a few feet underground. This can even include mountains of coal deposit, which is extracted by using explosives and blowing up the mountains, later collecting the fragmented coal and process them.

Deep underground mining makes use of underground tunnels, which is built, or dug through, to reach the center of the coal deposit, from where the coal is dug out and brought to the surface by coal workers. This is perhaps the most dangerous excavation procedure, where the lives of all the miners are constantly at a risk.

Investing In Coal

Investing in coal is a safe bet. There are still large reserves of coal deposits around the world, and due to the popularity, coal will be continued to be used as fuel for manufacturing process. Every piece of investment you make in any sort of industry or a manufacturing process ultimately depends on the amount of output the industry can deliver, which is dependent on the usage of any form of fuel, and in most cases, coal.

One might argue that coal usage leads to pollution and lower standards of hygiene for coal workers. This was arguably true in former years; however, newer coal mining companies are taking steps to assure that the environmental aspects of coal mining and usage are kept minimized, all the while providing better working environment and benefits package for their workers. If you can find a mining company that promises all these, and the one that also works within the law, you can be assured safety for your investments in coal.

Source: http://ezinearticles.com/?The-Coal-Mining-Industry-And-Investing-In-It&id=5871879

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

4 Types of Mining and Quarry Equipment

You've surveyed the land, spent hours of painstaking research planning the process, and now you are ready to take your mining to the next level. The next phase of the journey will involve the proper equipment. There are several different types of equipment that go into mining. This article will cover some different types of mining equipment to get you started; and if you've already started, it will provide you with valuable knowledge to upgrade your equipment in the future.

Vibrating Feeder

A vibrating feeder is a type of linear direction feeding equipment. Vibrating feeders are widely used in mining and quarry operations and offer several features. Its features include smooth vibrating, dependable operation, and lengthy service life; most importantly, vibrating feeders are suitable for feeding. It consists of a vibrating frame, vibrator, spring, motor vibrating device and motor. The motor causes the vibrating feeder's shafts to rotate, which produces massive power and forces the feeder to vibrate. As the feeder vibrates, materials pass through its funnel and are screened. Common feeder applications include chemicals, minerals, coal, aggregates, and industrial materials.

Permanent and Self Cleaning Magnets

Both permanent and self cleaning magnets can be used on conveyor belts. A permanent magnet is built from a material that is magnetized and creates its own constant magnetic field. Permanent magnetic separators are used on conveyor belts when only limited levels of ferrous metals are expected to pass through. Self cleaning magnets are based on the technology of permanent and electro magnets. The purpose of self cleaning magnetic separators is to automatically remove and separate metallic and non metallic materials.

Forklifts

A forklift is an essential piece of equipment to any mining operation. Industrial forklifts can efficiently move mining supplies and material. Rough terrain forklifts can handle rugged conditions and still manage to perform well. With the standard attachments, a forklift can scoop, grip, pull, lift, scrape, clean, and load almost anything on a mine. Forklifts are extremely versatile and will increase the efficiency of your mining process.

Earthmoving and Construction Equipment

Earthmoving and construction equipment are essential to any mining or quarry operation. This equipment is often used in construction, turf, and excavation work. Examples of earthmoving and construction equipment include: backhoes, bulldozers, and dumpers. A backhoe loader is used for a wide range of jobs including excavating or breaking asphalt. A backhoe loader is a tractor with an arm linking a bucket to the front and a second arm attaching a backhoe in the rear. One benefit of a backhoe loader is that it is fairly small and versatile. A bulldozer is used to push heavy loads like sand from a demolished structure. It is usually much larger than a backhoe loader. A dumper is also designed to carry heavy loads, but these loads are usually in smaller quantities than those of a bulldozer. Backhoes, bulldozers, and dumpers are three types of earthmoving equipment that are critical to the success and efficiency of a mining or construction project.

These are some quarry, mining & construction Equipment in Perth and other places, which are quite essential and useful in these processes. Click on this link to get more information on other necessary equipment.

Source: http://ezinearticles.com/?4-Types-of-Mining-and-Quarry-Equipment&id=7383379

Online Retail - Mining for Gold

Online retailers live in an ever-changing environment, and the ability to stay competitive is the difference between doing well and doing nothing. In today's fast paced internet market place, if you aren't using web scraping, you are missing a key component to growing your business.

Data Mining

Data mining your competition's prices and services and making sure your prices and services are similar, or even lower, is what makes the difference. Why should your customer choose you if they can get the same product somewhere else for less? What data you collect and how often you update it is also another key ingredient to success.

Extract Website Data

Web scraping allows you to gather information from your competition and use it improve your position in the market. When you extract website data from your competitor's website, it allows you to conduct business from a position that doesn't involve guess work. The internet is an environment that is constantly being updated and changed. It is vital that you have the ability to have up-to-date information on what others in your market are doing. If you can't do this, you really can't compete.

Application of Information

When you know what your competitors are doing all the time, you can keep your business a little more competitive than they are. When you have information such as monthly and even weekly price variations in the market and what products and services are being offered, you can apply that information to your own pricing matrix and ensure a competitive edge in your market.

An Army of One

Web scraping gives you the ability to see what is going on in the market at all times. You can monitor just about anything you choose with a web scraping service. Many online retailers are very small operations and they don't have the resources to constantly monitor each competitor's website - so engaging a web scraping service is like having your own marketing and research team working for you night and day to keep tabs on them. You choose what it is you want to know, and your research team goes to work. Simple.

Staying Ahead of Trends

Having the ability to recognize trends is the key to any business, especially on the internet were information is so fluid. The business that can identify a trend quickly and take advantage of it will always stay one step ahead. That's why big corporations have teams dedicated to researching market trends and predictions. If you can see where something is going, you can always get ahead of it. That's what web scraping can help you do - identify those trends in your market so you can get in ahead of the pack.

A Helping Hand

Sometimes running your own online retail business can be a daunting and lonely ordeal. Even those that have a great deal of experience with the internet can feel lost at times. A web scraping service is a tool you can use to help yourself in such times. Web scraping is automated and precise, and it gives you the ability to have vital information delivered to you in a manner you can understand and use. It's one less thing to worry about - and the information you get from data mining is what every business owner actually should worry about - what the competition is doing? With a web scraping service, you can concern yourself with other things - like making more profits.

Source: http://ezinearticles.com/?Online-Retail---Mining-for-Gold&id=6531024

What is Data Mining? Why Data Mining is Important?

Searching, Collecting, Filtering and Analyzing of data define as data mining. The large amount of information can be retrieved from wide range of form such as different data relationships, patterns or any significant statistical co-relations. Today the advent of computers, large databases and the internet is make easier way to collect millions, billions and even trillions of pieces of data that can be systematically analyzed to help look for relationships and to seek solutions to difficult problems.

The government, private company, large organization and all businesses are looking for large volume of information collection for research and business development. These all collected data can be stored by them to future use. Such kind of information is most important whenever it is require. It will take very much time for searching and find require information from the internet or any other resources.

Here is an overview of data mining services inclusion:

* Market research, product research, survey and analysis

* Collection information about investors, funds and investments

* Forums, blogs and other resources for customer views/opinions

* Scanning large volumes of data

* Information extraction

* Pre-processing of data from the data warehouse

* Meta data extraction

* Web data online mining services

* data online mining research

* Online newspaper and news sources information research

* Excel sheet presentation of data collected from online sources

* Competitor analysis

* data mining books

* Information interpretation

* Updating collected data

After applying the process of data mining, you can easily information extract from filtered information and processing the refining the information. This data process is mainly divided into 3 sections; pre-processing, mining and validation. In short, data online mining is a process of converting data into authentic information.

The most important is that it takes much time to find important information from the data. If you want to grow your business rapidly, you must take quick and accurate decisions to grab timely available opportunities.

Outsourcing Web Research is one of the best data mining outsourcing organizations having more than 17 years of experience in the market research industry. To know more information about our company please contact us.

Outsourcing Web Research is one of the best data mining outsourcing organizations having more than 17 years of experience in the market research industry.

Source: http://ezinearticles.com/?What-is-Data-Mining?-Why-Data-Mining-is-Important?&id=3613677

How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection

Data scrape is the process of extracting data from web by using software program from proven website only. Extracted data any one can use for any purposes as per the desires in various industries as the web having every important data of the world. We provide best of the web data extracting software. We have the expertise and one of kind knowledge in web data extraction, image scrapping, screen scrapping, email extract services, data mining, web grabbing.

Who can use Data Scraping Services?

Data scraping and extraction services can be used by any organization, company, or any firm who would like to have a data from particular industry, data of targeted customer, particular company, or anything which is available on net like data of email id, website name, search term or anything which is available on web. Most of time a marketing company like to use data scraping and data extraction services to do marketing for a particular product in certain industry and to reach the targeted customer for example if X company like to contact a restaurant of California city, so our software can extract the data of restaurant of California city and a marketing company can use this data to market their restaurant kind of product. MLM and Network marketing company also use data extraction and data scrapping services to to find a new customer by extracting data of certain prospective customer and can contact customer by telephone, sending a postcard, email marketing, and this way they build their huge network and bu
ild large group for their own product and company.

We helped many companies to find particular data as per their need for example.

Web Data Extraction

Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool kits that scrape web content were created. A web scraper is an API to extract data from a web site. We help you to create a kind of API which helps you to scrape data as per your need. We provide quality and affordable web Data Extraction application

Data Collection

Normally, data transfer between programs is accomplished using info structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions are not human-readable at all. That's why the key element that distinguishes data scraping from regular parsing is that the output being scraped was intended for display to an end-user.

Email Extractor

A tool which helps you to extract the email ids from any reliable sources automatically that is called a email extractor. It basically services the function of collecting business contacts from various web pages, HTML files, text files or any other format without duplicates email ids.

Screen scrapping

Screen scraping referred to the practice of reading text information from a computer display terminal's screen and collecting visual data from a source, instead of parsing data as in web scraping.

Data Mining Services

Data Mining Services is the process of extracting patterns from information. Datamining is becoming an increasingly important tool to transform the data into information. Any format including MS excels, CSV, HTML and many such formats according to your requirements.

Web spider

A Web spider is a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Many sites, in particular search engines, use spidering as a means of providing up-to-date data.

Web Grabber
Web grabber is just a other name of the data scraping or data extraction.

Web Bot

Web Bot is software program that is claimed to be able to predict future events by tracking keywords entered on the Internet. Web bot software is the best program to pull out articles, blog, relevant website content and many such website related data We have worked with many clients for data extracting, data scrapping and data mining they are really happy with our services we provide very quality services and make your work data work very easy and automatic.

Source:http://ezinearticles.com/?How-Web-Data-Extraction-Services-Will-Save-Your-Time-and-Money-by-Automatic-Data-Collection&id=5159023