Making Your Product Descriptions Ready For Business

How far would you have to go to find a poorly written product description or unclear, confusing content? There is a good chance that some of you need to go no further than your own website.

I guarantee that if you browse ecommerce sites selling multiple products, such as beauty items and electronics, you will find example after example of poorly written, confusing, unintelligible, even laughable descriptions of products.

Have you ever been confused by poorly written descriptions or bogged down in unintelligible information? The writers of this web content did not intend to confuse you. These writers no doubt intended to convey clear, interesting information. They simply did not have the skills to do so.

Your product descriptions should be written using what we call "product description grammar".

Don't worry, this grammar will be written in everyday English. Basically, you will find this grammar to be the same you learned in school, However, there are a few things removed to give it a professional business-like tone and style.

In addition to a business-like style, product description grammar also means the language in your description is:

• Crisp
• Clear
• Concise
• Accurate
• Appropriate for the intended audience

The grammar used in the descriptions of your products is basic and should be used for all your products.

When we start writing your product descriptions, it will be in a conversational tone. It is written as if you were telling a friend about the features and benefits that your products have and why a customer might want to purchase them from you. Since you are telling someone about your business and products that means your description is written in the first person.

Since your description is in the first person, the pronouns "I" and "we" will be the subject of most of your sentences. When the description is finished the first person pronouns, articles, helping verbs and being verbs are removed. You will find that your description will have a crisp business-like tone to it, all your tenses will be correct and you will have a great, readable version of your description. You will see that writing a description using this grammar will produce content that can be read and understood without effort.

Everyone marketing online needs content and anyone can make mistakes that lead to misunderstanding. Follow the rules of product description grammar eliminates most mistakes. Your descriptions will be clearer and you will prevent misunderstandings between the seller and the buyer.

First-rate product description copywriting is one of the most overlooked, underused and cost effective weapons in your online marketing arsenal. It has the power to stop you in your tracks or contribute to success beyond your wildest dreams. Have you considered a professional team? Maybe it's about time.

Source:http://ezinearticles.com/?Making-Your-Product-Descriptions-Ready-For-Business&id=7412049

Increase Visibility of Your Business Enlisting it in Local Search Engine

In this global market it is very tough for the local businesses to attract new customers or retain their existing customer base. Every form of media is crowded with different advertisements and your effort to get noticed via media promotion will be lost in the clutter. Moreover, the local players have limited promotional budget in comparison to national or international companies. So, what a local business man will do to promote their business?

Previously, people refer to Yellow Pages to find a local business. Such days are quickly disappearing. Now people turned to internet for every sort of information. Therefore, the best way for the local businesses is to enlist themselves in the online directories.

When people think of search engines the first three names that come to mind are Google, Yahoo and Bing. Even when the term local is attached with search engine, the thought process moves in the same direction. It is true that these big players list local businesses also. If a person tries to search a thriving local business in Google he or she will have no difficulty to see a listing for that business in this big platform. Suppose that person, without any knowledge of the businesses of the area, is looking for a local service provider in Google. He or she will have a good number of business listings which will include many national companies. The information will be of no use to that person. It will be better if there is a local search engine providing location specific results.

Businesses that are struggling to gain an edge in the local markets can optimize their presence on local search engines. It is an excellent way to attract web traffic towards your site. When the online users will discover that there is a search engine meant solely for a geo-location, they will stick to it instead of referring to Google. There are several such local search engines satisfying the requirements of the customers. My Quick Search is one of them that specifically cover the local businesses of Chhattisgarh and satisfy every need of people located in that area. 

Benefits that you can enjoy listing your company with local search engine:

Reach your Target Audience: The target audience of a local business stay in their close proximity. The businesses that depend on local clientele like restaurants, salon, plumbers, carpenters, mechanic, dentists, lawyers, make-up artists, and several others aim to approach the these target groups. The businesses usually consider different media for promoting their business. It is true that local media is an effective way to make people aware of your existence.

However, when need arises they may not remember what you have once advertised. They will then search online to satisfy their requirements. The local listing plays a significant role at that situation. 

Extensive coverage: The small and medium companies are often absent from the listing of top search engines. Even if they are present, there are high chances that they will be lost amidst the big names. Contrary to it, the local search engine carefully includes all the existing service providers of a geo-location from where the customers can pick up the business as per their requirements. Since, in a specific area there is comparatively limited number of service providers, all the companies are visible.

Cost Effectiveness: An online listing is pretty cheaper compared to other kinds of advertisements. Spending only a little amount you can increase the visibility of your brand. Another benefit of listing on the major local network you have to compete with far lesser number of businesses.

Mobile phone friendly: Whenever, there is an informational requirement a person hardly awaits search them from their computers. They instantly connect internet from their Smartphone to access the required information. When you are using a Smartphone, it is very easy to scroll through the listings. Most of the mobile phone users searching information at first refer to business listing. A local listing gives adequate information whenever and wherever they require about the businesses in the vicinity just with the touch of finger.

Therefore, claim your listing in the local search engine and let it work in favour of your business.

Source:http://blogs.siliconindia.com/myquicksearch/Business/Increase-Visibility-of-Your-Business-Enlisting-it-in-Local-Search-Engine-bid-kR9y3q2740616186.html

Law of Cards: Beckett Sues Two More for Scraping Data

The recent trend in trading card cases focuses more on protecting trading card data than on trading cards themselves. Beckett has filed two more lawsuits over alleged data scraping.

Collectors Universe (CU) started this trend with lawsuits against MWP Software/Matthew Perry and SaintSoft LLC/John Kountz. In both of these suits, CU alleged the defendants copied CU data available only to paying CU subscribers, and then unlawfully (and in violation of CU's terms of service) used that data on the defendants' websites or in their own apps.

Pokémon then followed by suing the Pokellector (a website which attempts to provide a comprehensive list of all Pokémon cards, along with images of those cards) for allegedly reproducing copyrighted images of its cards without permission, trademark infringement and unlawfully rebranding the images of Pokémon cards with a Pokellector trademark.

Beckett continued the trend by bringing a trade secret lawsuit against Check Out My Cards (COMC) which, among other things, made a big deal out of COMC's "scraping" of checklists and pricing data (although COMC alleges such scraping may have been authorized).

On April 24, Beckett filed two more lawsuits focusing on pricing and checklist data. This time against Custom Plush Productions Inc's The Card Collector and Derek Miller of Miller Cards.

These two new complaints cannibalize a lot of the COMC complaint and are nearly mirror images of each other as well.

It also looks like Beckett might have let an intern from the marketing department edit these complaints. Paragraph six of both state, "Beckett is the preeminent company and most trusted source operating within the collectibles industry, and it has been since it formed in 1984."

Sounds more like a PR piece than a lawsuit, right?

For The Card Collector case, Beckett alleges The Card Collector accessed Beckett's pricing guides through the Beckett website and unlawfully "scraped" Beckett's copyrightable checklist and pricing data. Allegedly, The Card Collector now offers Beckett's card checklists, grading and pricing data on its own website and through a CD-ROM it sells to others. For that Beckett brings claims for copyright infringement, common law misappropriation, "accounting" (bring out the accountants!), unjust enrichment, a violation of Computer Fraud and Abuse Act, trespass and a Harmful Access by Computer Under Texas Penal Code.

A little bit of everything, right?

For the second new suit, Beckett alleges Miller Cards operates several websites (such as millercards.net and freebaseballcardspriceguide.com) that provide checklists and pricing guides for card collectors. Beckett contends that Miller accessed Beckett's price guides through his Beckett membership, violated the membership agreement by "scraping" this data and then unlawfully reproduced the data on his websites. It brings the identical claims against Miller Cards that it brought against the Card Collector.

Giving all of this scraping going on, I guess, the next planking or Tebowing-type meme should be the "scraping" Beckett meme. I'm looking forward to seeing your pictures on what that should look like.

Now, we've only seen Beckett's side of the story, but it looks bad for both defendants. Sure, there are issues about how much copyright protection should be afforded checklists, but these cases are not just about publicly available checklist data. The checklist and pricing information from these cases was allegedly scraped from behind a pay wall at and then distributed to others in violation of Beckett's terms of service.

Allegedly stealing something from behind a pay wall to give or sell to others just doesn’t look good.

Given this, in all likelihood, these cases will disappear (settle) quickly before we get into any real issues.

These two cases (and the COMC case) have another implication for the industry. Beckett has a template complaint that it looks like it's going to recycle again and again against scrapers. And it's policing the Internet looking for infringers. I predict then we'll see this complaint filed again this year, perhaps multiple times.

If you'd like to review a copy of these complaints, click here for the Card Collector complaint and here for the Miller Cards complaint.

The information provided in Paul Lesko's "Law of Cards" column is not intended to be legal advice, but merely conveys general information related to legal issues commonly encountered in the sports industry. This information is not intended to create any legal relationship between Paul Lesko, the Simmons Browder Gianaris Angelides & Barnerd LLC or any attorney and the user. Neither the transmission nor receipt of these website materials will create an attorney-client relationship between the author and the readers.

The views expressed in the "Law of Cards" column are solely those of the author and are not affiliated with the Simmons Law Firm. You should not act or rely on any information in the "Law of Cards" column without seeking the advice of an attorney. The determination of whether you need legal services and your choice of a lawyer are very important matters that should not be based on websites or advertisements.

Source: http://www.cardboardconnection.com/news/law-of-cards-beckett-sues-two-more-for-scraping-data

Grepsr scraping service Review

As we reviewed web scraping software and services, we stumbled upon an interesting cloud scraping service called Grepsr. This service is dedicated to extracting consumer requested data by its own specialists with the possibility that the user may control scrape scheduling and some other data extraction steps.

Grepsr focuses on a project for scrape. You don’t need to worry about choosing an extractor, the environment to run it or DB for data storage; everything is done for you. Just give a precise description of data you need and your request will be processed. The sample request I composed took them just over 30 min. to complete the data extraction. The pricing hinges on the down payment for a project and the number of scheduled projects per month regardless of the data amount you scrape. One shortage of the UI is when scaling the page up, fonts remain the same size, irritating the eyes.

Make a Sample Project

You don’t need to log in to Grepsr before you describe your target data for a sample project.  To point at the data you might want, use the visual tools at Grepsr, the mark up box or just enter notes. The online specialist is prompt to chat with you. As you describe the extraction details and leave your contact info, a confirmation letter will be sent to you and your project will be indicated as one in process. In the following picture, I marked the needed info using the inbuilt box with the comment box appearing under the table. I was able to compose the request quickly. 

Moreover, you may specify any search filters or login info for target page(s) if needed.

Data Synchronization and Storage

For each project, you choose the way to get the data synchronized, depending on your needed output format. You may request CSV, PDF or HTML files delivered to your FTP, Dropbox or Google Docs account. Also, you may request notification about your extracted data through alerts via Email or HTTP POST.

There is currently no limit for account data storage amount. However, if the storage amount becomes excessive (GBs), the data may either be archived or deleted or there may be a cost for storage.

Payment

The project development cost is $129, regardless of complexity unless the task has a very unique requirement (then custom pricing is used). The one-time extraction limit for new project is 50K records from 1 website. The first sample will be free – but to be able to download the data daily, there will be a $99 setup fee and $50 per month per project payable after viewing the sample data, regardless of the data amount extracted.

Scheduling

Scheduling is well organized, as shown below:

Summary

Unlike many other data hunting/scraping services, Grepsr provides usable tools to manage projects and scheduling. The service is user-friendly with prompt support. If you know nothing about programming and web scraping, but you need to get a data from the web, this service is for you. But if you are a programmer and know how to extract web data, you may use another web scraping solution to have more freedom with a lower cost.

Source: http://scraping.pro/grepsr-scraping-service-review/

Getting Back Into Internet Marketing

Today I am getting back into internet marketing. In the last few weeks I have completely stopped internet marketing to focus on property. There is so much more money to be made easier in property than internet marketing and I can see now how property can provide me with financial freedom a lot quicker than internet marketing ever could.

Although I do have a problem. Property doesn't take up a lot of my time. Doing property deals is an elongated process and takes minutes of your time spread throughout each day and each week. But then you have the dilemma of what you do with the time in between. I could do nothing, but that isn't exactly me, I always love to have my head full of something.

So after much consideration I have decided to start getting back into internet marketing. Property will still be my focus, and will be my focus until I am financially free, but I realise that internet marketing will be good for me also. Firstly it will generate income which will increase my borrowing power, secondly it will give me something to do, but most importantly it will give me an outlet for which to teach.

I have come a long way in the last 6 months when it comes to understanding wealth and actually being in a position where I am moving forward into wealth. I am currently still in negotiations on my first property deal and I am looking to do my second deal within the next month.

It will be very different teaching wealth from a place of wealth (or really moving towards) than just from a student's perspective. In the past I have always been the student of wealth, someone who knows a lot but not someone that had a lot of money. In fact I worked just enough to scrape by so that I could spend my time studying wealth. This meant I had great knowledge but no money.

I do believe that knowledge brings with it finance. The size of your bank account will increase to fit in with the size of you as a person. If you are rich on the inside, you will naturally gather and grow money to reflect who you are on the inside. If you are poor on the inside, even if you win lotto, your money will naturally shrink to fit who you are. So I am so glad that I focused on increasing my capacity instead of working harder for money.

I haven't really planned out exactly what I am going to do when it comes to internet marketing. This blog exists as my own outlet for my life, so it won't be part of my investment plan. I am not trying to make money from this blog. Although I have a few other things in mind.

I have grown a large subscriber base over the last few years (about 1,500 subscribers) but making money from my subscribers has always seem to elude me. So to combat this I plan to create my own course to market to my subscribers. It will be a course to teach people about the financial basics that I have been learning for the last 6 months. The financial basics that have allowed me to purchase my first property and start generating passive income.

I also want to continue to market and grow my list. I have around 1,500 subscribers. Ultimately I want to have 60,000+ subscribers and to get them I will be writing articles and submitting them to article directories.

I also want to eventually create a "How to make money with Aweber" course. I free course that I would market and get people to sign up for. The course would be free and I would only make money through affiliate sales of the Aweber service.

Basically I am trying to keep my brain occupied and have a little bit of fun in between doing each property deal.

Your next step towards becoming rich is to increase your financial IQ through education. By educating yourself in the area of finances you will be able to get a greater return on investment and you will be able to earn more with less work and less risk. Does that sound good to you?

Source:http://ezinearticles.com/?Getting-Back-Into-Internet-Marketing&id=3744975

Three Common Methods For Web Data Extraction

Probably the most common technique used traditionally to extract data from web pages this is to cook up some regular expressions that match the pieces you want (e.g., URL's and link titles). Our screen-scraper software actually started out as an application written in Perl for this very reason. In addition to regular expressions, you might also use some code written in something like Java or Active Server Pages to parse out larger chunks of text. Using raw regular expressions to pull out the data can be a little intimidating to the uninitiated, and can get a bit messy when a script contains a lot of them. At the same time, if you're already familiar with regular expressions, and your scraping project is relatively small, they can be a great solution.

Other techniques for getting the data out can get very sophisticated as algorithms that make use of artificial intelligence and such are applied to the page. Some programs will actually analyze the semantic content of an HTML page, then intelligently pull out the pieces that are of interest. Still other approaches deal with developing "ontologies", or hierarchical vocabularies intended to represent the content domain.

There are a number of companies (including our own) that offer commercial applications specifically intended to do screen-scraping. The applications vary quite a bit, but for medium to large-sized projects they're often a good solution. Each one will have its own learning curve, so you should plan on taking time to learn the ins and outs of a new application. Especially if you plan on doing a fair amount of screen-scraping it's probably a good idea to at least shop around for a screen-scraping application, as it will likely save you time and money in the long run.

So what's the best approach to data extraction? It really depends on what your needs are, and what resources you have at your disposal. Here are some of the pros and cons of the various approaches, as well as suggestions on when you might use each one:

Raw regular expressions and code

Advantages:

- If you're already familiar with regular expressions and at least one programming language, this can be a quick solution.

- Regular expressions allow for a fair amount of "fuzziness" in the matching such that minor changes to the content won't break them.

- You likely don't need to learn any new languages or tools (again, assuming you're already familiar with regular expressions and a programming language).

- Regular expressions are supported in almost all modern programming languages. Heck, even VBScript has a regular expression engine. It's also nice because the various regular expression implementations don't vary too significantly in their syntax.

Disadvantages:

- They can be complex for those that don't have a lot of experience with them. Learning regular expressions isn't like going from Perl to Java. It's more like going from Perl to XSLT, where you have to wrap your mind around a completely different way of viewing the problem.

- They're often confusing to analyze. Take a look through some of the regular expressions people have created to match something as simple as an email address and you'll see what I mean.

- If the content you're trying to match changes (e.g., they change the web page by adding a new "font" tag) you'll likely need to update your regular expressions to account for the change.

- The data discovery portion of the process (traversing various web pages to get to the page containing the data you want) will still need to be handled, and can get fairly complex if you need to deal with cookies and such.

When to use this approach: You'll most likely use straight regular expressions in screen-scraping when you have a small job you want to get done quickly. Especially if you already know regular expressions, there's no sense in getting into other tools if all you need to do is pull some news headlines off of a site.

Ontologies and artificial intelligence

Advantages:

- You create it once and it can more or less extract the data from any page within the content domain you're targeting.

- The data model is generally built in. For example, if you're extracting data about cars from web sites the extraction engine already knows what the make, model, and price are, so it can easily map them to existing data structures (e.g., insert the data into the correct locations in your database).

- There is relatively little long-term maintenance required. As web sites change you likely will need to do very little to your extraction engine in order to account for the changes.

Disadvantages:

- It's relatively complex to create and work with such an engine. The level of expertise required to even understand an extraction engine that uses artificial intelligence and ontologies is much higher than what is required to deal with regular expressions.

- These types of engines are expensive to build. There are commercial offerings that will give you the basis for doing this type of data extraction, but you still need to configure them to work with the specific content domain you're targeting.

- You still have to deal with the data discovery portion of the process, which may not fit as well with this approach (meaning you may have to create an entirely separate engine to handle data discovery). Data discovery is the process of crawling web sites such that you arrive at the pages where you want to extract data.

When to use this approach: Typically you'll only get into ontologies and artificial intelligence when you're planning on extracting information from a very large number of sources. It also makes sense to do this when the data you're trying to extract is in a very unstructured format (e.g., newspaper classified ads). In cases where the data is very structured (meaning there are clear labels identifying the various data fields), it may make more sense to go with regular expressions or a screen-scraping application.

Screen-scraping software

Advantages:

- Abstracts most of the complicated stuff away. You can do some pretty sophisticated things in most screen-scraping applications without knowing anything about regular expressions, HTTP, or cookies.

- Dramatically reduces the amount of time required to set up a site to be scraped. Once you learn a particular screen-scraping application the amount of time it requires to scrape sites vs. other methods is significantly lowered.

- Support from a commercial company. If you run into trouble while using a commercial screen-scraping application, chances are there are support forums and help lines where you can get assistance.

Disadvantages:

- The learning curve. Each screen-scraping application has its own way of going about things. This may imply learning a new scripting language in addition to familiarizing yourself with how the core application works.

- A potential cost. Most ready-to-go screen-scraping applications are commercial, so you'll likely be paying in dollars as well as time for this solution.

- A proprietary approach. Any time you use a proprietary application to solve a computing problem (and proprietary is obviously a matter of degree) you're locking yourself into using that approach. This may or may not be a big deal, but you should at least consider how well the application you're using will integrate with other software applications you currently have. For example, once the screen-scraping application has extracted the data how easy is it for you to get to that data from your own code?

When to use this approach: Screen-scraping applications vary widely in their ease-of-use, price, and suitability to tackle a broad range of scenarios. Chances are, though, that if you don't mind paying a bit, you can save yourself a significant amount of time by using one. If you're doing a quick scrape of a single page you can use just about any language with regular expressions. If you want to extract data from hundreds of web sites that are all formatted differently you're probably better off investing in a complex system that uses ontologies and/or artificial intelligence. For just about everything else, though, you may want to consider investing in an application specifically designed for screen-scraping.

As an aside, I thought I should also mention a recent project we've been involved with that has actually required a hybrid approach of two of the aforementioned methods. We're currently working on a project that deals with extracting newspaper classified ads. The data in classifieds is about as unstructured as you can get. For example, in a real estate ad the term "number of bedrooms" can be written about 25 different ways. The data extraction portion of the process is one that lends itself well to an ontologies-based approach, which is what we've done. However, we still had to handle the data discovery portion. We decided to use screen-scraper for that, and it's handling it just great. The basic process is that screen-scraper traverses the various pages of the site, pulling out raw chunks of data that constitute the classified ads. These ads then get passed to code we've written that uses ontologies in order to extract out the individual pieces we're after. Once the data has been extracted we then insert it
into a database.

Source:http://ezinearticles.com/?Three-Common-Methods-For-Web-Data-Extraction&id=165416

An Easy Way For Data Extraction

There are so many data scraping tools are available in internet. With these tools you can you download large amount of data without any stress. From the past decade, the internet revolution has made the entire world as an information center. You can obtain any type of information from the internet. However, if you want any particular information on one task, you need search more websites. If you are interested in download all the information from the websites, you need to copy the information and pate in your documents. It seems a little bit hectic work for everyone. With these scraping tools, you can save your time, money and it reduces manual work.

The Web data extraction tool will extract the data from the HTML pages of the different websites and compares the data. Every day, there are so many websites are hosting in internet. It is not possible to see all the websites in a single day. With these data mining tool, you are able to view all the web pages in internet. If you are using a wide range of applications, these scraping tools are very much useful to you.

The data extraction software tool is used to compare the structured data in internet. There are so many search engines in internet will help you to find a website on a particular issue. The data in different sites is appears in different styles. This scraping expert will help you to compare the date in different site and structures the data for records.

And the web crawler software tool is used to index the web pages in the internet; it will move the data from internet to your hard disk. With this work, you can browse the internet much faster when connected. And the important use of this tool is if you are trying to download the data from internet in off peak hours. It will take a lot of time to download. However, with this tool you can download any data from internet at fast rate.There is another tool for business person is called email extractor. With this toll, you can easily target the customers email addresses. You can send advertisement for your product to the targeted customers at any time. This the best tool to find the database of the customers.

However, there are some more scraping tolls are available in internet. And also some of esteemed websites are providing the information about these tools. You download these tools by paying a nominal amount.

Source:http://ezinearticles.com/?An-Easy-Way-For-Data-Extraction&id=3517104