Have You Ever Heard To Web Scraping Expert Use Business Information?

Have you ever heard of "data scraping?" Scaling of the use of information and data scraping technology made his fortune many a successful trader is not new technology. Sometimes website owners automated harvesting of your data can not be happy with sitting

Fortunately there is a modern solution to this problem. Proxy data scraping technology solves the problem by using proxy IP addresses. Scraping data each time you run the program, organized the evacuation of a website, the website thinks that it comes from a different IP address. For website owners, worldwide only a short period of increased traffic from the proxy data scraping sounds.

Now you might be asking yourself: "Can the technology proxy data scraping project?" Certainly better than the choice is dangerous and unreliable (but) free public proxy servers.

There are literally thousands of the world that is quite easy to free proxy servers are all on. But the trick is finding them. Many sites list hundreds of servers, but open to find, and the protocol perseverance, trial and error, works for one of the first lessons you something about server to server, or do not know what activities are going for. A public proxy requests or sensitive data transmitted through a bad idea.

A less risky scenario for proxy data for scraping a rotating proxy connection goes through many private IP addresses to hire.

Scrape data from the software-only website is the proven process of extracting data from the Web. Offer the best of the web software to extract data. We have the expertise and knowledge in web data extraction, image, display, email extract, eliminate services, data mining and web intervene to eliminate.

For example, many companies based on their own needs, in particular, helped to find the data.

Data collection

Generally, data, information, automated computer programs for processing by the appropriate structures transmission. Such formats and protocols are usually strictly structured, well-documented, easily decompose, and confusion to a minimum. Very often, these transmissions are not human readable.

Tractor unit that automatically Extractor is an email from a reliable source that the e-mail ID helps to remove. This is fundamentally different than web pages, HTML files, text files or other format, business services contacts duplicate email addresses without.

A web spider is a computer program that a methodical, automated or surf the World Wide Web in a systematic way. Especially the many sites in the search engines, up-to-date information, as a means to quickly use.

Proxy data scraping technology solves the problem by using proxy IP addresses. Every time your data scraping program is a production of a website, the website that comes from a different IP address. The owner of this website, proxy data from around the world in an increase in traffic looks exactly like scraping the short term.

Now you might be asking yourself, "my project where I can get the data scraping proxy technology?" "Do it yourself" solution, but unfortunately, there is no need to call. Consider hosting the proxy server you choose to rent, but this option is quite pricey, but definitely better than the alternative is incredibly dangerous (but) free public proxy server.

Source:http://www.articlesbase.com/outsourcing-articles/have-you-ever-heard-to-web-scraping-expert-use-business-information-6250856.html

Why Hand-Scraped Flooring?

So many types of flooring possibilities exist on the market, so why hand-scraped hardwood and why now? Trends for hardwoods come and go. In recent years, the demand for exotic species has grown, and even more closer to the present, requests for hand-scraped flooring are also increasing. As a result, nearly all species are available hand-scraped, but walnut, hickory, cherry, and oak are the most popular.

In the past, parquet was a popular style of flooring, and while seldom seen in the present, parquet was characterized by an angular style and contrasting woods. Not relying on color, hand-scraped flooring instead goes for texture. The wood is typically scraped by hand, creating a rustic and unique look for every plank. But rather than be exclusively rough, some hand-scraped products have a smoother sculpted look, such as hand-sculpted hardwood, and this flooring is often considered "classic."

Texture, as well, makes the flooring have additional visual and tactile dimensions. Those walking on the floor may just want to run their hands over the surface to feel the knots, scraping, and sculpted portions. However, tastes for hand-scraped flooring vary by region. According to top hardwood manufacturer Armstrong, the sculpted look is more requested in California, while a rustic appearance of knots, mineral streaks, and graining is more common in the Southwest. The Northeast, on the other hand, is just catching onto this trend.

There's no one look for hand-scraped flooring. Rather, hardwood is altered through scraping or brushing, finishing, or aging; a combination of such techniques may also be used.

Scraped or brushed hardwoods are sold under names "wire brushed," which has accented grain and no sapwood; "hand-sculpted," which indicates a smoother distressed appearance; and "hand hewn and rough sawn," which describes the roughest product available.

Aged hand-scraped products go by "time worn aged" or "antique." For both of these, the wood is aged, and then the appearance is accented through dark-colored staining, highlighting the grain, or contouring. A lower grade of hardwood is used for antique.

A darker stain tends to bring out the look of hand-scraped flooring. For woods that have specifically been stained, "French bleed" is the most common. Such a product has deeper beveled edges, and joints are emphasized with a darker color stain.

No matter the look for hand-scraped flooring, the hardwood is altered by hand, generally by a trained craftsman, such as an Amish woodworker. As a result, every plank looks unique. However, "hand-scraped" and "distressed" are often used interchangeably, but not all "distressed" products are altered by hand. Instead, the hardwood is distressed by machine, which presses a pattern into the surface of the wood.

Source:http://www.articlesbase.com/home-improvement-articles/why-hand-scraped-flooring-5488704.html

Most Of The Recommended Web Scraping Data Into Business

More traditional Web search engines, websites visited, depending on how they were collected. The main disadvantage of these search engines is that they do not provide a method to extract the necessary information.

However, in modern times, the concept of scraping offs the website. Scraping all the relevant information and data contained in any web site can be found on the Internet together with the appearance.

Organizations and individuals to effectively and quickly recognized the need to gather information on the web scraping. Data structure that is more cut and paste can be accessed without having to contend with can not be collected.

If any other type of information to be able to arrange for the document. Traditional search engines use tools to harvest this website to a combination of individual clerks more sophisticated nuance with broad power. According to the criteria specified in the field of information is required.

News of the report on the software makes it easy for the crowd. The price and other analyzes to compare a pair of runs. Therefore, the Internet continues to work on the agencies that are required are a website as scrap. Web scraping by is the main reason for the growing number of companies.

Scraping the most reliable data Services Company based in India, offshore website provides information solutions to customers scraping. Data services to accomplish with your web search to try scraping, data mining, data conversion, data extraction, web scraping and web data in the data scraping.

Data Services are owned by scraping solution internet - India-based "Most of your trusted and reliable" service provider outsourcing. Data scraping Services offers high quality, accurate and manual internet scrape data and on the web scraping services at the lowest possible rate industry.

Data scraping Services is a firm based on the Indian expertise in outsourcing data entry, data processing, and Internet search and website scrape data. Data scraping Services offers great variety of data entry, data conversion, document scanning and data scraping service at the lowest possible rate industry since 2005. Services we offer cover the following areas; data entry, data mining, Web search, data conversion, data processing, scrape web sites, harvesting and collection of data internet email.

Data scraping Services follow the standard process to the highest quality Web search, data mining and web site services scratching. Search our website, data mining and data conversion projects to the process quality standards.

Most often the data must be scratched for the industry as part of lawyers, doctors, hospitals, students, schools, universities, chiropractor, dentists, hotels, property, real estate, pub, the bars, night club, a restaurant, and IT professionals. The most common medium to the database scraping and email numbers are directory business online, linked to, Twitter, Face book, social networking sites and search Google.

Data scraping service provider is the most trusted and reliable world of service, service of process data, data scrape, scrape data website, data mining, data extraction and business development database. We have already scraped some popular online business directories. We are only able to scrape public database available in any of the directory business.

Source:http://www.articlesbase.com/outsourcing-articles/most-of-the-recommended-web-scraping-data-into-business-5697814.html

Data Mining for Dollars

The more you know, the more you're aware you could be saving. And the deeper you dig, the richer the reward.

That's today's data mining capsulation of your realization: awareness of cost-saving options amid logistical obligations.

According to global trade group Association for Information and Image Management (AIIM), fewer than 25% of organizations in North America and Europe are currently utilizing captured data as part of their business process. With high ease and low cost associated with utilization of their information, this unawareness is shocking. And costly.

Shippers - you're in prime position to benefit the most by data mining and assessing your electronically-captured billing records, by utilizing a freight bill processing provider, to realize and receive significant savings.

Whatever your volume, the more you know about your transportation options, throughout all modes, the easier it is to ship smarter and save. A freight bill processor is able to offer insight capable of saving you 5% - 15% annually on your transportation expenditures.

The University of California - Los Angeles states that data mining is the process of analyzing data from different perspectives and summarizing it into useful information - knowledge that can be used to increase revenue, cuts costs, or both. Data mining software is an analytical tool that allows investigation of data from many different dimensions, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations among dozens of fields in large relational databases. Practically, it leads you to noticeable shipping savings.

Data mining and subsequent reporting of shipping activity will yield discovery of timely, actionable information that empowers you to make the best logistics decisions based on carrier options, along with associated routes, rates and fees. This function also provides a deeper understanding of trends, opportunities, weaknesses and threats. Exploration of pertinent data, in any combination over any time period, enables you the operational and financial view of your functional flow, ultimately providing you significant cost savings.

With data mining, you can create a report based on a radius from a ship point, or identify opportunities for service or modal shifts, providing insight regarding carrier usage by lane, volume, average cost per pound, shipment size and service type. Performance can be measured based on overall shipping expenditures, variances from trends in costs, volumes and accessorial charges.

The easiest way to get into data mining of your transportation information is to form an alliance with a freight bill processor that provides this independent analytical tool, and utilize their unbiased technologies and related abilities to make shipping decisions that'll enable you to ship smarter and save.

Source:http://ezinearticles.com/?Data-Mining-for-Dollars&id=7061178

Scrape Web data using R

Plenty of people have been scraping data from the web using R for a while now, but I just completed my first project and I wanted to share the code with you.  It was a little hard to work through some of the “issues”, but I had some great help from @DataJunkie on twitter.

As an aside, if you are learning R and coming from another package like SPSS or SAS, I highly advise that you follow the hashtag #rstats on Twitter to be amazed by the kinds of data analysis that are going on right now.

One note.  When I read in my table, it contained a wierd set of characters.  I suspect that it is some sort of encoding, but luckily, I was able to get around it by recoding the data from a character factor to a number by using the stringr package and some basic regex expressions.

Bring on fantasy football!

################################################################

## Help from the followingn sources:

## @DataJunkie on twitter

## http://www.regular-expressions.info/reference.html

## http://stackoverflow.com/questions/1395528/scraping-html-tables-into-r-data-frames-using-the-xml-package

## http://stackoverflow.com/questions/1395528/scraping-html-tables-into-r-data-frames-using-the-xml-package

## http://stackoverflow.com/questions/2443127/how-can-i-use-r-rcurl-xml-packages-to-scrape-this-webpage

################################################################

library(XML)

library(stringr)

# build the URL

url <- paste("http://sports.yahoo.com/nfl/stats/byposition?pos=QB",

        "&conference=NFL&year=season_2009",
        "&timeframe=Week1", sep="")

# read the tables and select the one that has the most rows

tables <- readHTMLTable(url)

n.rows <- unlist(lapply(tables, function(t) dim(t)[1]))

tables[[which.max(n.rows)]]

# select the table we need - read as a dataframe

my.table <- tables[[7]]

# delete extra columns and keep data rows

View(head(my.table, n=20))

my.table <- my.table[3:nrow(my.table), c(1:3, 5:12, 14:18, 20:21, 23:24) ]

# rename every column

c.names <- c("Name", "Team", "G", "QBRat", "P_Comp", "P_Att", "P_Yds", "P_YpA", "P_Lng", "P_Int", "P_TD", "R_Att",

        "R_Yds", "R_YpA", "R_Lng", "R_TD", "S_Sack", "S_SackYa", "F_Fum", "F_FumL")

names(my.table) <- c.names

# data get read in with wierd symbols - need to remove - initially stored as character factors

# for the loops, I am manually telling the code which regex to use - assumes constant behavior

# depending on where the wierd characters are -- is this an encoding?

front <- c(1)

back <- c(4:ncol(my.table))

for(f in front) {

    test.front <- as.character(my.table[, f])

    tt.front <- str_sub(test.front, start=3)

    my.table[,f] <- tt.front

}

for(b in back) {

    test <- as.character(my.table[ ,b])

    tt.back <- as.numeric(str_match(test, "\-*\d{1,3}[\.]*[0-9]*"))

    my.table[, b] <- tt.back
}

str(my.table)

View(my.table)

# clear memory and quit R

rm(list=ls())

q()

n

Source: http://www.r-bloggers.com/scrape-web-data-using-r/

Basic Information About Tooth Extraction Cost

In order to maintain the good health of teeth, one must be devoted and must take proper care of one's teeth. Dentists play a huge role in this regard and their support is important in making people aware of their oral conditions, so that they receive the necessary health services concerning the problems of the mouth.

The flat fee of teeth-extraction varies from place to place. Nonetheless, there are still some average figures that people can refer to. Simple extraction of teeth might cause around 75 pounds, but if people need to remove the wisdom teeth, the extraction cost would be higher owing to the complexity of extraction involved.

There are many ways people can adopt in order to reduce the cost of extraction of tooth. For instance, they can purchase the insurance plans covering medical issues beforehand. When conditions arise that might require extraction, these insurance claims can take care of the costs involved.

Some of the dental clinics in the country are under the network of Medicare system. Therefore, it is possible for patients to make claims for these plans to reduce the amount of money expended in this field. People are not allowed to make insurance claims while they undergo cosmetic dental care like diamond implants, but extraction of teeth is always regarded as a necessity for patients; so most of the claims that are made in this front are settled easily.

It is still possible for them to pay less at the moment of the treatment, even if they have not opted for dental insurance policies. Some of the clinics offer plans which would allow patients to pay the tooth extraction cost in the form of installments. This is one of the better ways that people can consider if they are unable to pay the entire cost of tooth extraction immediately.

In fact, the cost of extracting one tooth is not very high and it is affordable to most people. Of course, if there are many other oral problems that you encounter, the extraction cost would be higher. Dentists would also consider the other problems you have and charge you additional fees accordingly. Not brushing the teeth regularly might aid in the development of plaque and this can make the cost of tooth extraction higher.

Maintaining a good oral health is important and it reflects the overall health of an individual.

To conclude, you need to know the information about cost of extraction so you can get the right service and must also follow certain easy practices to reduce the tooth extraction cost.

Source:http://ezinearticles.com/?Basic-Information-About-Tooth-Extraction-Cost&id=6623204

Web Data Extraction Services and Data Collection Form Website Pages

For any business market research and surveys plays crucial role in strategic decision making. Web scrapping and data extraction techniques help you find relevant information and data for your business or personal use. Most of the time professionals manually copy-paste data from web pages or download a whole website resulting in waste of time and efforts.

Instead, consider using web scraping techniques that crawls through thousands of website pages to extract specific information and simultaneously save this information into a database, CSV file, XML file or any other custom format for future reference.

Examples of web data extraction process include:

• Spider a government portal, extracting names of citizens for a survey
• Crawl competitor websites for product pricing and feature data
• Use web scraping to download images from a stock photography site for website design

Automated Data Collection

Web scraping also allows you to monitor website data changes over stipulated period and collect these data on a scheduled basis automatically. Automated data collection helps you discover market trends, determine user behavior and predict how data will change in near future.

Examples of automated data collection include:

• Monitor price information for select stocks on hourly basis
• Collect mortgage rates from various financial firms on daily basis
• Check whether reports on constant basis as and when required

Using web data extraction services you can mine any data related to your business objective, download them into a spreadsheet so that they can be analyzed and compared with ease.

In this way you get accurate and quicker results saving hundreds of man-hours and money!

With web data extraction services you can easily fetch product pricing information, sales leads, mailing database, competitors data, profile data and many more on a consistent basis.

Should you have any queries regarding Web Data extraction services, please feel free to contact us. We would strive to answer each of your queries in detail.

Source:http://ezinearticles.com/?Web-Data-Extraction-Services-and-Data-Collection-Form-Website-Pages&id=4860417

Scraping bids out for SS United States

Yesterday we posted that the Independence Seaport Museum doesn’t have the money to support the upkeep of the USS Olympia nor does it have the money to dredge the channel to tow her away.  On the other side of the river the USS New Jersey Battleship Museum is also having financial troubles. Given the current troubles centered around the Delaware River it almost seems a shame to report that the SS United States, which has been sitting of at Pier 84 in South Philadelphia for the last fourteen years,  is now being inspected by scrap dealers.  Then again, she is a rusting, gutted shell.  Perhaps it is time to let the old lady go.    As reported in Maritime Matters:

SS UNITED STATES For Scrap?

An urgent message was sent out today to the SS United States Conservancy alerting members that the fabled liner, currently laid up at Philadelphia, is being inspected by scrap merchants.

“Dear SS United States Conservancy Members and Supporters:

The SS United States Conservancy has learned that America’s national flagship, the SS United States, may soon be destroyed. The ship’s current owners, Genting Hong Kong (formerly Star Cruises Limited), through its subsidiary, Norwegian Cruise Line (NCL), are currently collecting bids from scrappers.

The ship’s current owners listed the vessel for sale in February, 2009. While NCL graciously offered the Conservancy first right of refusal on the vessel’s sale, the Conservancy has not been in a financial position to purchase the ship outright. However, the Conservancy has been working diligently to lay the groundwork for a public-private partnership to save and sustain the ship for generations to come.

Source:http://www.oldsaltblog.com/2010/03/scraping-bids-out-for-ss-united-states/

ScraperWiki: A story about two boys, web scraping and a worm

“It’s like a buddy movie.” she said.
Not quite the kind of story lead I’m used to. But what do you expect if you employ journalists in a tech startup?
“Tell them about that computer game of his that you bought with your pocket money.”
She means the one with the risqué name.
I think I’d rather tell you about screen scraping, and why it is fundamental to the nature of data.

About how Julian spent almost a decade scraping himself to death until deciding to step back out and build a tool to make it easier.

I’ll give one example.
Two boys
In 2003, Julian wanted to know how his MP had voted on the Iraq war.
The lists of votes were there, on the www.parliament.uk website. But buried behind dozens of mouse clicks.
Julian and I wrote some software to read the pages for us, and created what eventually became TheyWorkForYou.

We could slice and dice the votes, mix them with some knowledge from political anaroks, and create simple sentences. Mini computer generated stories.

“Louise Ellman voted very strongly for the Iraq war.”
You can see it, and other stories, there now. Try the postcode of the ScraperWiki office, L3 5RF.

I remember the first lobbiest I showed it to. She couldn’t believe it. Decades of work done in an instant by a computer. An encyclopedia of data there in a moment.

Web Scraping

It might seem like a trick at first, as if it was special to Parliament. But actually, everyone does this kind of thing.

Google search is just a giant screen scraper, with one secret sauce algorithm guessing its ranking data.
Facebook uses scraping as a core part of its viral growth to let users easily import their email address book.

There’s lots of messy data in the world. Talk to a geek or a tech company, and you’ll find a screen scraper somewhere.

Why is this?
It’s Tautology

On the surface, screen scrapers look just like devices to work round incomplete IT systems.

Parliament used to publish quite rough HTML, and certainly had no database of MP voting records. So yes, scrapers are partly a clever trick to get round that.

But even if Parliament had published it in a structured format, their publishing would never have been quite right for what we wanted to do.

We still would have had to write a data loader (search for ‘ETL’ to see what a big industry that is). We still would have had to refine the data, linking to other datasets we used about MPs. We still would have had to validate it, like when we found the dead MP who voted.

It would have needed quite a bit of programming, that would have looked very much like a screen scraper.

And then, of course, we still would have had to build the application, connecting the data to the code that delivered the tool that millions of wonks and citizens use every year.

Core to it all is this: When you’re reusing data for a new purpose, a purpose the original creator didn’t intend, you have to work at it.

Put like that, it’s a tautology.
A journalist doesn’t just want to know what the person who created the data wanted them to know.
Scrape Through
So when Julian asked me to be CEO of ScraperWiki, that’s what went through my head.
Secrets buried everywhere.

The same kind of benefits we found for politics in TheyWorkForYou, but scattered across a hundred countries of public data, buried in a thousand corporate intranets.

If only there was a tool for that.
A Worm
And what about my pocket money?
Nicola was talking about Fat Worm Blows a Sparky.
Julian’s boss’s wife gave it its risqué name while blowing bubbles in the bath. It was 1986. Computers were new. He was 17.

Fat Worm cost me £9.95. I was 12.
[Loading screen]
I was on at most £1 a week, so that was ten weeks of savings.
Luckily, the 3D graphics were incomprehensibly good for the mid 1980s. Wonder who the genius programmer is.
I hadn’t met him yet, but it was the start of this story.

Source:https://blog.scraperwiki.com/2011/05/scraperwiki-a-story-about-two-boys-web-scraping-and-a-worm/

Ethics in data journalism: mass data gathering – scraping, FOI and deception

Mass data gathering – scraping, FOI, deception and harm

The data journalism practice of ‘scraping’ – getting a computer to capture information from online sources – raises some ethical issues around deception and minimisation of harm. Some scrapers, for example, ‘pretend’ to be a particular web browser, or pace their scraping activity more slowly to avoid detection. But the deception is practised on another computer, not a human – so is it deception at all? And if the ‘victim’ is a computer, is there harm?

The tension here is between the ethics of virtue (“I do not deceive”) and teleological ethics (good or bad impact of actions). A scraper might include a small element of deception, but the act of scraping (as distinct from publishing the resulting information) harms no human. Most journalists can live with that.

The exception is where a scraper makes such excessive demands on a site that it impairs that site’s performance (because it is repetitively requesting so many pages in a small space of time). This not only negatively impacts on the experience of users of the site, but consequently the site’s publishers too (in many cases sites will block sources of heavy demand, breaking the scraper anyway).

Although the harm may be justified against a wider ‘public good’, it is unnecessary: a well designed scraper should not make such excessive demands, nor should it draw attention to itself by doing so. The person writing such a scraper should ensure that it does not run more often than is necessary, or that it runs more slowly to spread the demands on the site being scraped. Notably in this regard, ProPublica’s scraping project Upton “helps you be a good citizen [by avoiding] hitting the site you’re scraping with requests that are unnecessary because you’ve already downloaded a certain page” (Merrill, 2013).

Attempts to minimise that load can itself generate ethical concerns. The creator of seminal data journalism projects chicagocrime.org and Everyblock, Adrian Holovaty, addresses some of these in his series on ‘Sane data updates’ and urges being upfront about

    “which parts of the data might be out of date, how often it’s updated, which bits of the data are updated … and any other peculiarities about your process … Any application that repurposes data from another source has an obligation to explain how it gets the data … The more transparent you are about it, the better.” (Holovaty, 2013)

Publishing scraped data in full does raise legal issues around the copyright and database rights surrounding that information. The journalist should decide whether the story can be told accurately without publishing the full data.

Issues raised by scraping can also be applied to analogous methods using simple email technology, such as the mass-generation of Freedom of Information requests. Sending the same FOI request to dozens or hundreds of authorities results in a significant pressure on, and cost to, public authorities, so the public interest of the question must justify that, rather than its value as a story alone. Journalists must also check the information is not accessible through other means before embarking on a mass-email.

Source: http://onlinejournalismblog.com/2013/09/18/ethics-in-data-journalism-mass-data-gathering-scraping-foi-and-deception/

The Hubcast #4: A Guide to Boston, Scraping Local Leads, & Designers.Hubspot.com

The Hubcast Podcast Episode 004

Welcome back to The Hubcast folks! As mentioned last week, this will be a weekly podcast all about HubSpot news, tips, and tricks. Please also note the extensive show notes below including some new HubSpot video tutorials created by George Thomas.

Show Notes:

Inbound 2014

THE INSIDER’S GUIDE TO BOSTON

Boston Guide

On September 15-18, the Boston Convention & Exhibition Center will be filled with sales and marketing professionals for INBOUND 2014. Whether this will be your first time visiting Boston, you’ve visited Boston in the past, or you’ve lived in the city for years, The Insider’s Guide to Boston is your go-to guide for enjoying everything the city has to offer. Click on a persona below to get started.

Are you the The Brewmaster – The Workaholic – The Chillaxer?

Check out the guide here

HubSpot Tips & Tricks

Prospects Tool – Scrape Local Leads
Prospects Tool

This weeks tip / trick is how to silence some of the noise in your prospect tool. Sometimes you might have need to just look at local leads for calls or drop offs. We show you how to do that and much more with the HubSpot Prospects Tool.

Watch the tutorial here

HubSpot Strategy
Crack down on your sites copy.
We talk about how your home page and about pages are talking to your potential customers in all the wrong ways. Are you the me, me, me person at the digital party? Or are you letting people know how their problems can be solved by your products or services.

HubSpot Updates
(Each week on the Hubcast, George and Marcus will be looking at HubSpot’s newest updates to their software. And in this particular episode, we’ll be discussing 2 of their newest updates)
Default Contact Properties

You can now choose a default option on contact properties that sets a default value for that property that can be applied across your entire contacts database. When creating or editing a new contact property in Contacts Settings, you’ll see a new default option next to the labels on properties with field types “Dropdown,” “Radio Select” and “Single On/Off Checkbox”.

Default Contact Properties
When you set a contact property as “default”, all contacts who don’t have any value set for this property will adopt the default value you’ve selected. In the example above, we’re creating a property to track whether your contact uses a new feature. Initially, all of them would be “No,” and that’s the default property that will be applied database-wide. As a result, this’ll get stamped on each contact record the value wasn’t present on.

Now, when you want to apply a contact property across multiple contacts, you don’t have to create a list of those contacts and then create a workflow that stamps that contact property across those contacts. This new feature allows you to bypass those steps by using the “default” option on new contact properties you create.

Watch the tutorial here
RSS Module with Images
Now available is a new option within modules in the template builder that will allow you to easily add a featured image to an RSS module. This module will show a blog post’s featured image next to the feed of recent blog content. If you are a marketer, all you need to do is simply check the “Featured Image” box off in the RSS Listing module to display a list of recent COS blog posts with images on any page. No developers or code necessary to do this!

If you are a designer and want to add additional styling to an RSS module with images, you can do so using HubL tokens.

Here is documentation on how to get started.

Default Contact Properties
Watch the tutorial here

HubSpot Wishlist

 The HubSpot Keywords Tool

Why oh why!!!! Hubspot why can we only have 1,000 keywords in our keywords tool? We talk about how for many companies a 1,000 keywords dont just cut it. For example Yale applaince can easily blow through those keywords.

Source: http://www.thesaleslion.com/hubcast-podcast-004/

Web Scraping’s 2013 Review – part 2

As promised we came back with the second part of this year’s web scraping review. Today we will focus not only on events of 2013 that regarded web scraping but also Big data and what this year meant for this concept.

First of all, we could not talked about the conferences in which data mining was involved without talking about TED conferences. This year the speakers focused on the power of data analysis to help medicine and to prevent possible crises in third world countries. Regarding data mining, everyone agreed that this is one of the best ways to obtain virtual data.

Also a study by MeriTalk  a government IT networking group, ordered by NetApp showed this year that companies are not prepared to receive the informational revolution. The survey found that state and local IT pros are struggling to keep up with data demands. Just 59% of state and local agencies are analyzing the data they collect and less than half are using it to make strategic decisions. State and local agencies estimate that they have just 46% of the data storage and access, 42% of the computing power, and 35% of the personnel they need to successfully leverage large data sets.

Some economists argue that it is often difficult to estimate the true value of new technologies, and that Big Data may already be delivering benefits that are uncounted in official economic statistics. Cat videos and television programs on Hulu, for example, produce pleasure for Web surfers — so shouldn’t economists find a way to value such intangible activity, whether or not it moves the needle of the gross domestic product?

We will end this article with some numbers about the sumptuous growth of data available on the internet.  There were 30 billion gigabytes of video, e-mails, Web transactions and business-to-business analytics in 2005. The total is expected to reach more than 20 times that figure in 2013, with off-the-charts increases to follow in the years ahead, according to researches conducted by Cisco, so as you can see we have good premises to believe that 2014 will be at least as good as 2013.

Source:http://thewebminer.com/blog/2013/12/