Data scraping tool for non-coding journalists launches

A tool which helps non-coding journalists scrape data from websites has launched in public beta today.

Import.io lets you extract data from any website into a spreadsheet simply by mousing over a few rows of information.

Until now import.io, which we reported on back in April, has been available in private developer preview and has been Windows only. It is now also available for Mac and is open to all.

Although import.io plans to charge for some services at a later date, there will always be a free option.

The London-based start-up is trying to solve the problem of the fact that there is "lots of data on the web, but it's difficult to get at", Andrew Fogg, founder of import.io, said in a webinar last week.

Those with the know-how can write a scraper or use an API to get at data, Fogg said. "But imagine if you could turn any website into a spreadsheet or API."

Uses for journalists

Journalists can find stories in data. For example, if I wanted to do a story on the type of journalism jobs being advertised and the salaries offered, I could research this by looking at various websites which advertise journalism jobs.

If I were to gather the data from four different jobs boards and enter the information manually into a spreadsheet it would take would take hours if not days; if I were to write a screen scraper for each of the sites it would require knowledge and would probably take a couple of hours. Using import.io I can create a single dataset from multiple sources in a few minutes.

I can then search and sort the dataset and find out different facts, such as how many unpaid internships are advertised, or how many editors are currently being sought.

How it works

When you download the import.io application you see a web browser. This browser allows you to enter a URL for any site you want to scrape data from.

To take the example of the jobs board, this is structured data, with the job role, description and salaries displayed.

The first step is to set up 'connectors' and to do this you need to teach the system where the data is on the page. This is done by hitting a 'record' button on the right of the browser window and mousing over a few examples, in this case advertised jobs. You then click 'train rows'.

It takes between two and five examples to teach import.io where all of the rows are, Fogg explained in the webinar.

The next step is to declare the type of data and add column names. For example there may be columns for 'job title', 'job description' and 'salary'. Data is then extracted into the table below the browser window.

Data from different websites can then be "mixed" into a single searchable database.

In the example used in the webinar, Fogg demonstrated how import.io could take data relating to rucksacks for sale on a shopping website. The tool can learn the "extraction pattern", Fogg explained, and apply that to to another product. So rather than mousing over the different rows of sleeping bags advertised, for example, import.io was automatically able to detect where the price and product details were on the page as it had learnt the structure from how the rucksacks were organised. The really smart bit is that the data from all products can then be automatically scraped and pulled into the spreadsheet. You can then search 'shoes' and find the data has already been pulled into your database.

When a site changes its code a screen scraper would become ineffective. Import.io has a "resilience to change", Fogg said. It runs tests twice a day and users get notified of any changes and can retrain a connector.

It is worth noting that a site that has been scraped will be able to detect that import.io has extracted the data as it will appear in the source site's web logs.

Case studies

A few organisations have already used import.io for data extraction. Fogg outlined three.

    British Red Cross

The British Red Cross wanted to create an iPhone app with data from the NHS Choices website. The NHS wanted the charity to use the data but the health site does not have an API.

By using import.io, data was scraped from the NHS site. The app is now in the iTunes store and users can use it to enter a postcode to find hospital information based on the data from the NHS site.

"It allowed them to build an API for a website where there wasn't one," Fogg said.

    Hewlett Packard

Fogg explained that Hewlett Packard wanted to monitor the prices of its laptops on retailers' websites.

They used import.io to scrape the data from the various sites and were able monitor the prices at which the laptops were being sold in real-time.

    Recruitment site

A US recruitment firm wanted to set up a system so that when any job vacancy appeared on a competitor's website, they could extract the details and push that into their Salesforce software. The initial solution was to write scrapers, Fogg said, but this was costly and in the end they gave up. Instead they used import.io to scrape the sites and collate the data.


Source: http://www.journalism.co.uk/news/data-scraping-tool-for-non-coding-journalists-launches/s2/a554002/

ScraperWiki lets anyone scrape Twitter data without coding

The Obama administration’s open data mandate announced on Thursday was made all the better by the unveiling of the new ScraperWiki service on Friday. If you’re not familiar with ScraperWiki, it’s a web-scraping service that has been around for a while but has primarily focused on users with some coding chops or data journalists willing to pay to have someone scrape data sets for them. Its new service, though, currently in beta, also makes it possible for anyone to scrape Twitter to create a custom data set without having to write a single line of code.

Taken alone, ScraperWiki isn’t that big of a deal, but it’s part of a huge revolution that has been called the democratization of data. More data is becoming available all the time — whether from the government, corportations or even our own lives — only it’s not of much use unless you’re able to do something with it. ScraperWiki is now one of a growing list of tools dedicated to helping everyone, not just expert data analysts or coders, analyze — and, in its case, generate — the data that matters to them.

After noticing a particularly large numbers of tweets in my stream about flight delays yesterday, I thought I’d test out ScraperWiki’s new Twitter search function by gathering a bunch of tweets directed to @United. The results — from 1,697 tweets dating back to May 3 — are pretty fun to play with, if not that surprising. (Also, I have no idea how far back the tweet search will go or how long it will take using the free account, which is limited to 30 minutes of compute time a day. I just stopped at some point so I could start digging in.)

First things first, I ran my query. Here’s what the data looks like viewed in a table in the ScraperWiki app.

Next, it’s a matter of analyzing it. ScraperWiki lets you view it in a table (like above), export it to Excel or query it using SQL, and will also summarize it for you. This being Twitter data, the natural thing to do seemed to be analyzing it for sentiment. One simple way to do this right inside the ScraperWiki table is to search for a particular term that might suggest joy or anger. I chose a certain four-letter word that begins with f.

Surprisingly, I only found eight instances. Here’s my favorite: “Your Customer Service is better than a hooker. I paid a bunch of money and you’re still…” (You probably get the idea.)

But if you read my “data for dummies” post from January, you know that we mere mortals have tools at our disposal for dealing with text data in a more refined way. IBM’s Many Eyes service won’t let me score tweets for sentiment, but I can get a pretty good idea overall by looking at how words are used. For this job, though, a simple word cloud won’t work, even after filtering out common words, @united and other obvious terms. Think of how “thanks” can be used sarcastically and you can see why.

Using the customized word tree, you can see that “thanks” sometimes means “thanks.” Other times, not so much. I know it’s easy to dwell on the negative, but consider this: “worst” had 28 hits while “best” had 15. One of those was referring to Tito’s vodka and at least three were referring to skyline views. (Click here to access it and search by whatever word you want.)

Here’s a phrase net filtering the results by phrases where the word “for” connects two words.

Anyhow, this was just a fast, simple and fairly crude example of what ScraperWiki now allows users to do, and how that resulting data can be combined with other tools to analyze and visualize it. Obviously, it’s more powerful if you can code, but new tools are supposedly on the way (remember, this is just a beta version) that should make it easier to scrape data from even more sources.

In the long term, though, services like ScraperWiki should become a lot more valuable as tools for helping us generate and analyze data rather than just believe what we’re told. Want to improve your small business, put your life in context or perhaps just write the best book report your teacher has ever seen? It’s getting easier every day.


Source: http://gigaom.com/2013/05/10/scraperwiki-lets-anyone-scrape-twitter-data-without-coding/

What is data scraping and how can I stop it?

Data scraping (also called web scraping) is the process of extracting information from websites. Data scraping focuses on transforming unstructured website content (usually HTML) into structured data which can be stored in a database or spreadsheet.

The way data is scraped from a website is similar to that used by search bots – human web browsing is simulated by using programs (bots) which extract (scrape) the data from a website.

Unfortunately, there is no efficient way to fully protect your website from data scraping. This is so because data scraping programs (also called data scrapers or web scrapers) obtain the same information as your regular web visitors.

Even if you block the IP address of a data scraper, this will not prevent it from accessing your website. Most data scraping bots use large IP address pools and automatically switch the IP address in case one IP gets blocked. And if you block too many IPs, you will most probably block many of your legitimate visitors.

One of the best ways to protect globally accessible data on a website is through copyright protection. This way you can legally protect the intellectual ownership of your website content.

Another way to protect your site content is to password protect it. This way your website data will be available only to people who can authenticate with the correct username and password.


Source: http://kb.siteground.com/what_is_data_scraping_and_how_can_i_stop_it/

WP Web Scraper

An easy to implement professional web scraper for WordPress. This can be used to display realtime data from any websites directly into your posts, pages or sidebar. Use this to include realtime stock quotes, cricket or soccer scores or any other generic content. The scraper is an extension of WP_HTTP class for scraping and uses phpQuery or xpath for parsing HTML. Features include:

    Can be easily implemented using the button in the post / page editor.
    Configurable caching of scraped data. Cache timeout in minutes can be defined in minutes for every scrap.
    Configurable Useragent for your scraper can be set for every scrap.
    Scrap output can be displayed thru custom template tag, shortcode in page, post and sidebar (through a text widget).
    Other configurable settings like timeout, disabling shortcode etc.
    Error handling - Silent fail, error display, custom error message or display expired cache.
    Clear or replace a regex pattern from the scrap before output.
    Option to pass post arguments to a URL to be scraped.
    Dynamic conversion of scrap to specified character encoding (using incov) to scrap data from a site using different charset.
    Create scrap pages on the fly using dynamic generation of URLs to scrap or post arguments based on your page's get or post arguments.
    Callback function to parse the scraped data.

For demos and support, visit the WP Web Scraper project page. Comments appreciated.

Tags: curl, html, import, page, phpquery, Post, Realtime, sidebar, stock market, web scraping, xpath   



Source: http://wordpress.org/plugins/wp-web-scrapper/

Simple method of Data Scrapping

There are so many tools available on the Internet are scraping data. With these tools, without stress, you can download a large amount of data. The last decade, the Internet revolution as an information center was the world. You can get any information on the Internet. However, if you want to work with specific information, you must find other sites. Download all the information on the website that interests you, then you must copy the information in the document header. Everything seems to work a bit "more difficult. With scraping tools, your time, save money and can reduce manual labor.

Tools for extracting Web data to extract data from HTML pages and Web sites to compare data. Each day, there are many sites are hosted on the Internet. You can not see all the sites the same day. These data mining tools, you can view all pages on the Internet. If you use a wide range of applications, the scraping tool is also useful for you.

Software tools for data retrieval for structured data that is used on the Internet. There are so many Internet search engines to help you find a site for a particular problem would be. Various sites, the data appears in different styles. The expert scraped help you compare the different sites and structures for recording updated data.

And the web crawler software tool is used to index the Web pages on the Internet, moving data to the Internet from your hard drive. With this work, you can surf the Internet much faster than they are connected. It is time to use the tip of the device is important if you try to download data from the Internet. It will take considerable time to download. However, the device with faster Internet rate. There you can download all the corporate data of the person is another tool called e-mail extractor. The tribute, you can easily target your e-mail client. Each time your product is able to send targeted advertisements to customers. The customer database to find the best equipment.

Scraping and data extraction can be used in any organization, corporation, or any company which is a data set targeted customer industry, company, or anything that is available on the net as some data, such as e-ID mail data, site name, search term or what is available on the web. In most cases, data scraping and data mining services, not a product of industry, are marketed and used for example to reach targeted customers as a marketing company, if company X, the city has a restaurant in California, the software relationship that the city's restaurants in California and use that information for marketing your product to market-type restaurant company can extract the data.

MLM and marketing network using data mining and data services to each potential customer for a new client by extracting the data, and call customer service, postcard, e-mail marketing, and thus produce large networks to send large groups of construction companies and their products.

However, there are tolls are scraping on the Internet. And some sites have reliable information about these tools. By paying a nominal amount to download these tools.


Source: http://goarticles.com/article/Simple-method-of-Data-Scrapping/4692026/

Google scraper to download data from Google search pages

Web scraping involves extraction of data from websites and converting them to usable format. There are many web scraping tools designed specific purposes like white pages scraper, amazon scraper, email address scraper, customer contract scraper etc. Google scraper is one such web scraping application which is used to extract google search results. This application will gather useful information from search results of Google which can be helpful in preparation of prospective databases with potential customers, email lists, online price comparison, real estate data, job posting information and customer demographics. Many people nowadays use web scraping to minimize the effort involved in manual extraction of data from websites.

You can find the details of customers in particular locality be searching through the white pages of that region. Also, if you want to gather email address or phone numbers of customers, you can do that with email address extractor. Google scraper will be useful to scrape google results and store them in text file, Spread sheets or database. The data scraping is automated function done by software application to extract data from websites by simulation human exploration of web through scripts like Perl, Python, and JavaScript etc. The data scraping could be great tool for programmers and can have lot of value for the money.

Also data collected through web scraping tool is accurate and ensures faster results. You can use this to collect email address of potential customers for your email marketing campaign to promote your products. You can search for relevant information about customer products. If you want to download images of products you can just enter the relevant keyword and google scraper will automatically extract the data from you google images page. You can generate sales leads and expand your business by using scraping tools which can save lot of time and money.



Source: http://goarticles.com/article/Google-scraper-to-download-data-from-Google-search-pages/4254108/

Information About Craigslist Scraping Tools

Information is one amongst the foremost vital assets to a business.Whatever trade the business relies in, while not the crucialinformation that helps it to operate, it'll be left to die.However, you are doing not ought to hunt round the net or through pilesof resources so as to urge the data that you just would like. Instead,you can merely take the data that you just have already got and use itto your advantage.

With info being thus promptly accessible for big corporations, itmay be not possible to guess what precisely a corporation can would like this muchdata and data from. completely different jobs together with everything frommedical records analysis, to selling uses net hand tool technology inorder to compile info, analyze it and so use it for his or her ownpurposes.

Another reason that a corporation could utilize an internet hand tool is fordetection of changes. for instance, if you entered into a contract witha company to confirm that their net link stayed on your online page forsix months, they may use an internet hand tool to form certain that you just do notback out. this fashion they additionally don't ought to manually check yourwebsite a day to confirm that the link remains there. This savesthem from wasting their valuable labor prices.

Finally you'll be able to use an internet hand tool to urge all of the info concerning acompany that you just would like. whether or not you wish to seek out out what differentwebsites ar speech concerning your company, otherwise you merely need to seek out allof the data a few bound topic, employing a net hand tool is asimple, fast and simple answer.

There ar many various corporations that give you with the abilityto scrape the net for info. one amongst the businesses to lookat is Mozenda. Mozenda permits you to setup custom programs that scrapethe net for all differing types of knowledge, relying upon the exactneeds that your company has. Another net scraping company that ispopular is thirty Digits net Extractor. they assist you to extract theinformation that you just would like from a spread of internet sites and webapplications. you'll be able to use any type of alternative services to urge all ofyour information scraped from the online.

Web information scraping could be a growing business. There ar such a lot of industriesand businesses that use the data they get from net datascraping to accomplish quite bit. whether or not you would like to scrape information inorder to seek out personal info, past histories, compile databasesof factual info or another use it's terribly real and potential todo so! but, so as to use an internet hand tool effectively you mustmake certain to use a real company.

don't come with any company off thestreet, check that to visualize them against others within the trade. Ifworst involves worse, check drive many completely different corporations. Thenstick with the online hand tool that best meets your wants. check that thatyou let the online hand tool work for you, after all, the net is apowerful tool in your business!



Source: http://goarticles.com/article/Information-About-Craigslist-Scraping-Tools/7507586/

Craigslist Scraping Data Extraction Tools

It is Associate in Nursing ever developing company that is serving the folks. The craigslist may be a net services company. it's one among st the leading issues in its category. the realm of operation has mature to over forty five countries round the world. This websites may be a specialist in that includes sales promotions.

all types of ads square measure displayed here starting from paid ads and free ads.

Ads of jobs, services, personal sales and lots of a lot of square measure displayed here. Even discussion forums square measure gift here in order that folks will discuss what they like. Their major supply of sales come back from the paid ads associated with jobs. it's thought to be the simplest web site without charge sales promotions on-line.

many folks take into account this because the best for looking jobs, service sand lots of a lot of. there's no marvel that it's stratified at the 33th spot within the whole world. within the u. s. of America it's thought-about because the seventh best web site overall Web Data Extraction Software, Scripts.
And the most astonishing reality is that it manages this whole business by to a small degree variety of staff. There square measure solely regarding thirty staff in it. there's no surprise it's should for those staff to be terribly economical. The success depends upon the co - ordination of those folks. folks will build cash by finance during this business.

If one trains himself and provides his commitment he will undoubtedly become extremely roaring. except for this it's crucial to settle on a tool for posting ads effectively. someone WHO posts several ads on Craigslist is aware of the work load and time it takes. however this stress and cargo are often overcome by employing a sensible Craigslist Posting tool. particularly if the posting tool is all automatic in posting ads it's another advantage. however it's not a straightforward task to zero in on one software package and shopping for it.

as a result of the quantity of software on the market within the net is very large Web Scraper Download.

You can have a headache in selecting one. however those efforts square measure worthwhile as a result of Craigslist is among the simplest which may communicate your ads to the whole world. it's Associate in Nursing economic and a good thanks to develop your business. There square measure lots of craigslist posting tools on the market that is absolutely automatic.

one among st the simplest ways that to choose a tool is to research the options and it should have the automated posting options. And conjointly each product offers a free trial for victimization it. when victimization the trial we are able to decide a tool and die. By these facilities it's simple for analyzing the merchandise.


Source: http://goarticles.com/article/Craigslist-Scraping-Data-Extraction-Tools/7529228/

The Manifold Advantages Of Investing In An Efficient Web Scraping Service

Bitrake is an extremely professional and effective online data mining service that would enable you to combine content from several webpages in a very quick and convenient method and deliver the content in any structure you may desire in the most accurate manner. Web scraping may be referred as web harvesting or data scraping a website and is the special method of extracting and assembling details from various websites with the help from web scraping tool along with web scrapping software. It is also connected to web indexing that indexes details on the online web scraper utilizing bot (web scrapping tool). The dissimilarity is that web scraping is actually focused on obtaining unstructured details from diverse resources into a planned arrangement that can be utilized and saved, for instance a database or worksheet. Frequent services that utilize online web scraper are price-comparison sites or diverse kinds of mash-up websites. The most fundamental method for obtaining details from diverse resources is individual copy-paste. Never web scraping theless, the objective with Bitrake is to create an effective software to the last element. Other methods comprise DOM parsing, upright aggregation platforms and even HTML parses. Web scraping might be in opposition to the conditions of usage of some sites. The enforceability of the terms is uncertain.

While complete replication of original content will in numerous cases is prohibited, in the United States, court ruled in Feist Publications v Rural Telephone Service that replication details is permissible. Bitrate service allows you to obtain specific details from the net without technical information; you just need to send the explanation of your explicit requirements by email and Bitrate will set everything up for you. The latest self-service is formatted through your preferred web browser and formation needs only necessary facts of either Ruby or Javascript. The main constituent of this web scraping tool is a thoughtfully made crawler that is very quick and simple to arrange. The web scraping software permits the users to identify domains, crawling tempo, filters and preparation making it extremely flexible. Every web page brought by the crawler is effectively processed by a draft that is accountable for extracting and arranging the essential content. Data scraping a website is configured with UI, and in the full-featured package this will be easily completed by Bitrake. However, Bitrake has two vital capabilities, which are:

- Data mining from sites to a planned custom-format (web scraping tool)

- Real-time assessment details on the internet.



Source: http://goarticles.com/article/The-Manifold-Advantages-Of-Investing-In-An-Efficient-Web-Scraping-Service/5509184/

Understanding Web Scraping

It is evident that the invention of the internet is one of the greatest inventions of life. This is so because it allows quick recovery of information from large databases. Though the internet has its own negative aspects, its advantages outweigh the demerits f using it. It is therefore the objective of every researcher to understand the concept of web scraping and learn the basics of collecting accurate data from the internet. The following are some of the skills researchers need to know and keep them abreast of:

Understanding File Extensions in Web Scraping

In web scraping the first step to know is file extensions. For instance a site ending with dot-com is either a sales or commercial site. With the involvement of sales activity in such a website, there is a possibility that the data contained therein is inaccurate. Sites that may be ending with dot-gov are sites owned by various governments. The information found on such websites is accurate since they are reviewed by professionals regularly. Sites ending with dot-org are sites owned by non-governmental organizations that are not after making profit. There is a greater probability that the information contained is not accurate. Sites ending with dot-edu are owned by educational institutions. The information found on such sites is sourced by professionals and is of high quality. In case you have no understanding concerning a particular website it is important that get more information from expert data mining services.

Search Engine Limitations in Web Scraping

After understanding the file extensions, the next step is to understand search engine limitations applied to web scraping. These include process such as file extension, filtering or any other parameters. The following are some of the restrictions that need to typed after your search term: for instance if you key in “finance” and then click “search” all sites will be listed from the dot-com directory that contain the word finance on its website. If you key in “finance site.gov,” of course with the quotation marks, only the government sites that have the word finance will be listed. The same applies to other sites with different file extensions.

Advanced Parameters in Web Scraping

When performing web scraping it is important to understand more skills beyond the file extension. Therefore there is a need to understand particular search terms. For instance if you key in “software company in India” without the quotation marks, the search engines will display thousands of websites having “software”, “company” and India in their search terms. If you key in “Software Company in India” with the quotation marks, the search engines will only display sites that contain the exact phrase “software company in India” within their text.

This article forms the basis of web scraping. Collection of data needs to be carried out by experts and high quality tools. This is to ensure that the quality and accuracy of the data scraped is of high standards. The information extracted from that data has wide applications in business operations including decision making and predictive analytics.


Source: http://goarticles.com/article/Understanding-Web-Scraping/6771732/

A Solution to Mobile Phone Data Issues

One subject of mobile phone ownership that cocmes up time after time is data usage. Data usage can be a controversial area for both the consumer and the mobile network but with a little help there is a solution. The networks continually don’t help themselves, they have a poor track record when monitoring and reporting data usage back to the end user. We see many times that the billing provided can be misleading or altogether inept for the purpose of monitoring the spend. With some networks the information is hidden within a very complex report or the usage is only recorded when the data bundle is exceeded. Once exceeded the cost becomes disproportionate to going over the bundled minutes so regularly we have seen bills of £300 and above for a one month overage on data.

This can be where the problems really begin as you are now in the situation of knowing there is something wrong, the bill doesn’t help so you call the network. At this point you will more than likely get the stock answer as to why the problem has occurred which is ‘we don’t know’. They don’t know because when data is consumed the network record the information as usage by volume of consumption and not what the data has been used for. So imagine how you would feel if you had a £300 overage in a month and the networks were unable to shed any light on it, this happens all the time.

What we need to do is understand how much data we need then ensure we put measures in to assess the usage. Smartphone’s consume data as a natural process continually updating the apps and operating systems. In fact they consume so much data that even if you don’t pick the phone up and leave it switched on it will consume on average 200MB per month. This is the point where the networks and re-sellers start to cause issues as they can often sell Smartphone packages with data bundles less than 200MB. Obviously the consumer then gets hit with a costly and unnecessary bill all within the first month of owning their new mobile phone. To prevent this you have to choose a bundle somewhere around the 500MB mark to allow for generic browsing and updates. You can still exceed this if choosing to download continually so there has to be an element of management by the user.

The first point to make is that a Smartphone will use data direct from the mobile network which eats into you data bundle and also over Wi-Fi. Wi-Fi usage does not cost the Smartphone airtime account so if you set the Smartphone to automatically select known Wi-Fi points when in range you will dramatically change the bundled data usage. It should become a habit that Wi-Fi is used to download anything out of the ordinary leaving plenty of the network bundle left for generic updates.

To help further there is an App called 3G watchdog that will help to manage the volumes used. Download this app from the App markets and install on the handset. There are many bespoke setting for the software so take your time to understand how it all works. What the correct setting will give is a measure at any point in the month of how many MB’s used either by Wi-Fi or 3g. Having the information then lets you adjust your usage or split in usage accordingly making you more aware of reaching the limit. The app will project forward your present use and tell you how many MBS will be used by the time your month end arrives.

It also has a shutdown system just in case you experience a virus or background app consuming data without your knowledge. Once again all you need to do is adjust the setting and tell the software to either alert you or shut down the data when a user defined percentage of data is achieved. This is a very key part to not exceeding the data bundle as in most overage cases a data heavy application is running in the background of the phone without the user’s knowledge. This simple feature on 3G watchdog will ensure that even if that happens the data will deactivate automatically and there is no affect on the billing.


Source: http://goarticles.com/article/A-Solution-to-Mobile-Phone-Data-Issues/6708243/

Web Scraping and Financial Matters

Many marketers value the process of harvesting data on the financial sector. They are also conversant with the challenges concerning the collection and processing of the data. Web scraping techniques and technologies are used for tracking and recognizing patterns that are found within the data. This is quite useful to businesses as it shifts through the layers of data, remove unrelated data and only leave the data that has meaningful relationships. This enables companies anticipate rather than just reacting to the customer and financial needs. Web scraping in combination with other complementary technologies and sound business processes, it can be used in reinforcing and redefining financial analysis.

Objectives of web scraping

The following are some of the web scraping services objectives that are covered in this article:

1. Discus show the customization of data and data mining tools may be developed for financial data analysis.

2. What is the usage pattern, in terms of purpose and the categories for the need for financial analysis?

3. Is the development of a tool for financial analysis through web scraping techniques possible?

Web scraping can be regarded as the procedure of extracting or harvesting knowledge for the large quantities of data. It is also known as Knowledge Discovery in Database (KDD). This implies that web scraping involves data collection, data management, database creation and the analysis of data and its understanding.

The following are some of the steps that are involved in web scraping service:

1. Data cleaning. This is the process of removing nose and the inconsistent data. This process is important as it only ensures that only important data should be integrated. This process saves time that will be consumed in the next processes.

2. Data integration. This is the processes of combining multiple sources of information. This process is quite important as it ensure that there is sufficient data for selection purposes.

3. Data selection. This is retrieving of data from databases that are relevant from the data in question.

4. Data transformation. It is the process of consolidating or transforming data into forms, which are appropriate for scraping by performing aggregation operations and summary.
5. Data mining. This is the process where intelligent methods are used in extracting data patterns.

6. Pattern evaluation. It is the identification of the patterns that are quite interesting and ones that represent knowledge and the interesting measures.

7. Knowledge presentation. It is the process where knowledge representation techniques and visualization are used in representing extracted data to the user.

Data Warehouse

Data warehouse may be defined as a store where information that has been mined from different sources, and stored under a unified schema and it resides at a single site.

Majority of banks and financial institutions offer a wide variety of baking services that include checking account balances, savings, customer and business transactions. Other services that may be offered by such companies include investment and credit services. Stock and insurance services may also be offered.

Through web scraping services it is possible for companies to gather data from financial and banking sectors, which may be relatively reliable, high quality and complete. Such data is quite important is it facilitates the analysis and the decision making of a company.

Data Extraction,Web Screen Scraping Tool,Mozenda Scraper

Web Scraping

Web scraping, also known as Web data extraction or Web harvesting, is a software method of extracting data from websites. Web scraping is closely related and similar to Web indexing, which indexes Web content. Web indexing is the method used by most search engines. The difference with Web scraping is that it focuses more on the translation of unstructured content on the Web, characteristically in rich text format like that of HTML, into controlled data that can be analyzed stored and in a spreadsheet or database. Web scraping also makes Web browsing more efficient and productive for users. For example, Web scraping automates weather data monitoring, online price comparison, and website change recognition and data integration.

This clever method that uses specially coded software programs is also used by public agencies. Government operations and Law enforcement authorities use data scrape methods to develop information files useful against crime and evaluation of criminal behaviors. Medical industry researchers get the benefit and use of Web scraping to gather up data and analyze statistics concerning diseases such as AIDS and the most recent strain of influenza like the recent swine flu H1N1 epidemic.

Data scraping is an automatic task performed by a software program that extracts data output from another program, one that is more individual friendly. Data scraping is a helpful device for programmers who have to generate a line through a legacy system when it is no longer reachable with up to date hardware. The data generated with the use of data scraping takes information from something that was planned for use by an end user.

One of the top providers of Web scraping software, Mozenda, is a Software as a Service company that provides many kinds of users the ability to affordably and simply extract and administer web data. Using Mozenda, individuals will be able to set up agents that regularly extract data then store this data and finally publish the data to numerous locations. Once data is in the Mozenda system, individuals may format and repurpose data and use it in other applications or just use it as intelligence. All data in the Mozenda system is safe and sound and is hosted in a class A data warehouses and may be accessed by users over the internet safely through the Mozenda Web Console.

One other comparative software is called the Djuggler. The Djuggler is used for creating web scrapers and harvesting competitive intelligence and marketing data sought out on the web. With Dijuggles, scripts from a Web scraper may be stored in a format ready for quick use. The adaptable actions supported by the Djuggler software allows for data extraction from all kinds of webpages including dynamic AJAX, pages tucked behind a login, complicated unstructured HTML pages, and much more. This software can also export the information to a variety of formats including Excel and other database programs.

Web scraping software is a ground-breaking device that makes gathering a large amount of information fairly trouble free. The program has many implications for any person or companies who have the need to search for comparable information from a variety of places on the web and place the data into a usable context. This method of finding widespread data in a short amount of time is relatively easy and very cost effective. Web scraping software is used every day for business applications, in the medical industry, for meteorology purposes, law enforcement, and government agencies.


Source: http://goarticles.com/article/Data-Extraction-Web-Screen-Scraping-Tool-Mozenda-Scraper/3635541/

Ultimate Scraping Three Common Methods For Web Data Extraction

So what's the best way to data extraction? It really is dependent upon what your needs are, and what resources you have you can use. Here are some of the pros and cons of the various options, as well as suggestions on once you might use each an individual:

Raw regular expressions in addition to code

<em>Advantages: </em>

- If you're already informed about regular expressions and some form of programming language, this may be a quick solution.

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

- You likely don't should try to learn any new languages or perhaps tools (again, assuming you're already informed about regular expressions and a new programming language).

- Regular expressions are supported in most of modern programming languages. Daylights, even VBScript has a daily expression engine. It's also nice for the reason that various regular expression implementations don't vary too significantly within their syntax.

<em>Disadvantages: </em>

- They are definitely complex for those that don't have plenty of experience with them. Figuring out regular expressions isn't want going from Perl for you to Java. It's more enjoy going from Perl to make sure you XSLT, where you really have to wrap your mind around an entirely different way of viewing the condition.

- They're often confusing to evaluate. Take a look through a number of the regular expressions people have manufactured to match something as simple as an email address and you'll see what i mean.

- If the content you're endeavoring to match changes (e. h., they change the internet page by adding a brand-new "font" tag) you'll likely must update your regular expressions to take into account the change.

- The data discovery component to the process (traversing various web pages to go to the page containing the data you want) will still should be handled, and can get fairly complex region deal with cookies and additionally such.

<em>When to make use approach: </em> You'll most in all likelihood use straight regular expressions in screen-scraping when you experience a small job you intend to get done quickly. Especially if you now know regular expressions, there's no sense in stepping into other tools if all you decide to do is pull some news headlines off a site.

Ontologies as well as artificial intelligence

<em>Advantages: </em>

- You create the software once and it can awfully extract the data from any page while in the content domain you're looking for.

- The data model is mostly built in. For case in point, if you're extracting data files about cars from online sites the extraction engine now knows what the help to make, model, and price are generally, so it can easily map it to existing data structures (e. gary the gadget guy., insert the data throughout the correct locations in ones own database).

- There is certainly relatively little long-term preservation required. As web sites change you likely might want to do very little to all your extraction engine as a way to account for the transformations.

<em>Disadvantages: </em>

- It's relatively complex for making and work with this engine. The level of expertise needed to even understand an removal engine that uses man-made intelligence and ontologies is noticeably higher than what must deal with regular words and phrases. Professionals Implement Key Search engine optimization Metric Techniques


Source: http://goarticles.com/article/Ultimate-Scraping-Three-Common-Methods-For-Web-Data-Extraction/5123576/

Challenges in Effective Web Data Mining

Data collection and web data mining are critical processes for many companies and the marketing companies today. The techniques usually used include search engines,

topic-based searches and directories. Web data mining is necessary for any business that wants to create data warehouses by harvesting data from the internet. This is so

because high-quality and intelligent information may not be harvested from the internet easily. Such information is critical as it enables you to get desired results and the

business intelligence in demand.
Keyword-based searches are important in marketing of company products. They are usually affected by the following factors:
• Irrelevant pages. The use of common and general keywords on the search engines yields millions of web pages. Some of thesepages may be irrelevant and may not be of help

to the user.
• Ambiguous results.This is usually caused by multi-variant or similar keyword semantics. A name would be an animal, movie or even a sport accessory. This results in web

pages that are different what you are actually searching for.
• Possibility of missing some web pages.There is a great possibility of missing the most relevant information that is contained on web pages that are not indexed on a given

keyword.
One of the factors that prohibit the usage of web data mining is the effectiveness of search engine crawlers. This is widely evidenced by lack of access of the entire web due to

search engine crawlers and bot.This can be attributed partly tobandwidth limitations. It is important to understand that there are thousands of databases on the internet that can

deliver well-maintained information, high quality and are not easily accessed by crawlers.
In web data mining it is important to understand that majority of search engines have limited choices or alternatives for keyword query combination. For instance, yahoo and

Google offer option like phrase and even the exact matches that may limit even the search results. It is usually demands more efforts and even time and thereby get the most

important and relevant information.The human behavior and the alternatives usually change of time.This therefore implies that web pages need to be updated frequently and

there by reflect on the emerging trends. It is important to realize that there is a limited space for web data mining. This is so because the information that currently exists is

heavily relied on keyword-based indices. This does not apply for the real data.
It is important to realize that web data mining is an important tool for any business. It is therefore important to embrace this technology to solve data crisis problems. There are

several limitations and many challenges which may have resulted in the quest of effectively and efficiently in rediscovering the use of web resources. However, irrespective of the

challenges of web data mining, this technology is an effective tool that can be employed in many technological and scientific fields. It is therefore paramount to embrace this

technology and use it fully in order to realize your corporate goals.


Source: http://goarticles.com/article/Challenges-in-Effective-Web-Data-Mining/6771744/

Web Screen Scrape With a Software Program

Which software do you use for data mining? How much time does it take in mining required data and is it able to present in a customized format? Extracting data from the web is

a tedious job, if done manually but the moment you use an application or program, web screen scrape job becomes easy.

Using an application would certainly make data mining an easy affair but the problem is that which application to choose. Availability of a number of software programs makes

it difficult to choose one but you have to select a program because you canâEUR(TM)t keep mining data manually. Start your search for a data mining software program with

determining your needs. First note down the time a program takes to completing a project.

Quick scraping

The software shouldnâEUR(TM)t take much time and if it does then thereâEUR(TM)s no use of investing in the software. A software program that needs time for data mining would

only save your labor and not time. Keep this factor in mind as you canâEUR(TM)t keep waiting for hours for the software to provide you data. Another reason behind choosing a

quick software program is that you a quick scraping tool would provide you latest data.

Presentation

Extracted data should be presented in readable format that you could use in a hassle free manner. For instance the web screen scrape program should be able to provide data in

spreadsheet or database file or in any other format as desired by the user. Data thatâEUR(TM)s difficult to read is good for nothing. Presentation matters most. If you

arenâEUR(TM)t able to understand the data then how could you use in future.

Coded program

Invest in web screen scrape program coded for your project and not for everyone. It should be dedicated to you and not made for public. There are groups that provide coded

programs for data mining. They charge a fee for programming but the job they do worth a fee. Look for a reliable group and get the software program that could make your data

mining job a lot easier.

Whether you are looking for contact details of your targeted audiences or you want to keep a close watch on social media, you need web screen scrape service that would save

your time and labor. If youâEUR(TM)re using a software program for data mining then you should make sure that the program works according to your wishes.


Source: http://goarticles.com/article/Web-Screen-Scrape-With-a-Software-Program/7763109/

Web Screen Scrape: Quick and Affordable Data Mining Service

Getting contact details of people living in a certain area or practicing a certain profession isnâEUR(TM)t a difficult job as you could get the data from websites. You can even get the data in short time so that you could take advantage of it. Web screen scrape service could make data mining a breeze for you.

Extracting data from websites is a tedious job but there isnâEUR(TM)t any need to mine the data manually as you could get it electronically. The data could be extracted from websites and presented in a readable format like spreadsheet and data file that you could store for future use. The data would be accurate and since you would get the data in short time, you could rely on the information. If your business relies on the data then you should consider using this service.

How much this data extraction service would cost? It wonâEUR(TM)t cost a fortune. It isnâEUR(TM)t expensive. Service charge is determined on the number of hours put in data mining. You can locate a service provider and ask him to give quote for his services. If youâEUR(TM)re satisfied with the service and the charge, you could assign the data mining work to the person.

ThereâEUR(TM)s hardly any business that doesnâEUR(TM)t need data. For instance some businesses look for competitor pricing to set their price index. These companies employ a team for data mining. Similarly you can find businesses downloading online directories to get contact details of their targeted customers. Employing people for data mining is a convenient way to get online data but the process is lengthy and frustrating. On the other hand, service is quick and affordable.

You need specific data; you can get it without spending countless hours in downloading data from websites. All you need to do to get the data is contact a credible web screen scrape service provider and assign the data mining job to him. The service provider would present the data in the desired format and in the expected time. As far as budget of the project is concerned, you can negotiate the price with the service provider.

Web screen scrape service is a boon for websites. This service is quite beneficial for websites that rely on data like tour and travel, marketing and PR companies. If you need online data then you should consider hiring this service instead of wasting time on data mining.



Source: http://goarticles.com/article/Web-Screen-Scrape-Quick-and-Affordable-Data-Mining-Service/7783303/

Why to Go With a Web Screen Scraping Program?

There is a tough competition in the market, nowadays. Business owners are trying to get the best and beneficial result in their business growth. At present, there are different kinds of businesses available online. With the support of their specific websites, business owners are promoting their products as well as services online. Currently, most of the people are internet users and in order to get their contact details, websites owners are availing the benefits of software that can help them to get the desired data in a very short time. Websites are now extracting relevant data of internet users with the support of web screen scraping software, these days. Undoubtedly, data collection from websites is a time consuming and laborious job and thus one need to have a dedicated team to do so. However today, with the support of website screen scraping program, it has become so easy to extract required data from websites as it was never before.

Screen scraping is really a beneficial program that can help people to download the desired data in an appropriate format. Therefore, it would be great for people to select a screen scraping program instead of going with data mining team. There is no denying to this fact that this software would make your job much easier than before. There are a number of benefits of using this software for the people in different ways. First of all, this program enables you to save lots of your precious time and to get your particular project done in a very short time. If there is need to collect contact details of targeted audiences from some specific websites then it can easily be done with the support of this program.

The best thing about this software is that it would help your data mining team to get rid of the tedious job of data mining from different websites. software will not only make your data mining team free from the tedious job but also make you able to utilize them in some other productive projects of your company. With the support of this software, you will surely experience great improvement in your teamâEUR(TM)s productivity. This program will surely make you able to get the data in the same format you are looking for. It will allow you to get the required data in suitable format. So, what are you waiting for? Leave all your data extracting problems on this software and enjoy its benefits!



Source: http://goarticles.com/article/Why-to-Go-With-a-Web-Screen-Scraping-Program/7803789/

Web Scraper Shortcode WordPress Plugin Review

This short post is on the WP-plugin called Web Scraper Shortcode, that enables one to retrieve a portion of a web page or a whole page and insert it directly into a post. This plugin might be used for getting fresh data or images from web pages for your WordPress driven page without even visiting it. More scraping plugins and sowtware you can find in here.

To install it in WordPress go to Plugins -> Add New.
Usage

The plugin scrapes the page content and applies parameters to this scraped page if specified. To use the plugin just insert the

[web-scraper ]

shortcode into the HTML view of the WordPress page where you want to display the excerpts of a page or the whole page. The parameters are as follows:

    url (self explanatory)
    element – the dom navigation element notation, similar to XPath.
    limit – the maximum number of elements to be scraped and inserted if the element notation points to several of them (like elements of the same class).

The use of the plugin is of the dom (Data Object Model) notation, where consecutive dom nodes are stated like node1.node2; for example: element = ‘div.img’. The specific element scrape goes thru ‘#notation’. Example: if you want to scrape several ‘div’ elements of the class ‘red’ (<div class=’red’>…<div>), you need to specify the element attribute this way: element = ‘div#red’.
How to find DOM notation?

But for inexperienced users, how is it possible to find the dom notation of the desired element(s) from the web page? Web Developer Tools are a handy means for this. I would refer you to this paragraph on how to invoke Web Developer Tools in the browser (Google Chrome) and select a single page element to inspect it. As you select it with the ‘loupe’ tool, on the bottom line you’ll see the blue box with the element’s dom notation:


The plugin content

As one who works with web scraping, I was curious about  the means that the plugin uses for scraping. As I looked at the plugin code, it turned out that the plugin acquires a web page through ‘simple_html_dom‘ class:

    require_once(‘simple_html_dom.php’);
    $html = file_get_html($url);
    then the code performs iterations over the designated elements with the set limit

Pitfalls

    Be careful if you put two or more [web-scraper] shortcodes on your website, since downloading other pages will drastically slow the page load speed. Even if you want only a small element, the PHP engine first loads the whole page and then iterates over its elements.
    You need to remember that many pictures on the web are indicated by shortened URLs. So when such an image gets extracted it might be visible to you in this way: , since the URL is shortened and the plugin does not take note of  its base URL.
    The error “Fatal error: Call to a member function find() on a non-object …” will occur if you put this shortcode in a text-overloaded post.

Summary

I’d recommend using this plugin for short posts to be added with other posts’ elements. The use of this plugin is limited though.



Source: http://extract-web-data.com/web-scraper-shortcode-wordpress-plugin-review/

Visual Web Ripper: Using External Input Data Sources

Sometimes it is necessary to use external data sources to provide parameters for the scraping process. For example, you have a database with a bunch of ASINs and you need to scrape all product information for each one of them. As far as Visual Web Ripper is concerned, an input data source can be used to provide a list of input values to a data extraction project. A data extraction project will be run once for each row of input values.

An input data source is normally used in one of these scenarios:

    To provide a list of input values for a web form
    To provide a list of start URLs
    To provide input values for Fixed Value elements
    To provide input values for scripts

Visual Web Ripper supports the following input data sources:

    SQL Server Database
    MySQL Database
    OleDB Database
    CSV File
    Script (A script can be used to provide data from almost any data source)

To see it in action you can download a sample project that uses an input CSV file with Amazon ASIN codes to generate Amazon start URLs and extract some product data. Place both the project file and the input CSV file in the default Visual Web Ripper project folder (My Documents\Visual Web Ripper\Projects).

For further information please look at the manual topic, explaining how to use an input data source to generate start URLs.


Source: http://extract-web-data.com/visual-web-ripper-using-external-input-data-sources/

Scraping Amazon.com with Screen Scraper

Let’s look how to use Screen Scraper for scraping Amazon products having a list of asins in external database.

Screen Scraper is designed to be interoperable with all sorts of databases and web-languages. There is even a data-manager that allows one to make a connection to a database (MySQL, Amazon RDS, MS SQL, MariaDB, PostgreSQL, etc), and then the scripting in screen-scraper is agnostic to the type of database.

Let’s go through a sample scrape project you can see it at work. I don’t know how well you know Screen Scraper, but I assume you have it installed, and a MySQL database you can use. You need to:

    Make sure screen-scraper is not running as workbench or server
    Put the Amazon (Scraping Session).sss file in the “screen-scraper enterprise edition/import” directory.
    Put the mysql-connector-java-5.1.22-bin.jar file in the “screen-scraper enterprise edition/lib/ext” directory.
    Create a MySQL database for the scrape to use, and import the amazon.sql file.
    Put the amazon.db.config file in the “screen-scraper enterprise edition/input” directory and edit it to contain proper settings to connect to your database.
    Start the screen scraper workbench

Since this is a very simple scrape, you just want to run it in the workbench (most of the time you want to run scrapes in server mode). Start the workbench, and you will see the Amazon scrape in there, and you can just click the “play” button.

Note that a breakpoint comes up for each item. It would be easy to save the scraped details to a database table or file if you want. Also see in the database the “id_status” changes as each item is scraped.

When the scrape is run, it looks in the database for products marked “not scraped”, so when you want to re-run the scrapes, you need to:

UPDATE asin
SET `id_status` = 0

Have a nice scraping! ))

P.S. We thank Jason Bellows from Ekiwi, LLC for such a great tutorial.


Source: http://extract-web-data.com/scraping-amazon-com-with-screen-scraper/

Using External Input Data in Off-the-shelf Web Scrapers

There is a question I’ve wanted to shed some light upon for a long time already: “What if I need to scrape several URL’s based on data in some external database?“.

For example, recently one of our visitors asked a very good question (thanks, Ed):

    “I have a large list of amazon.com asin. I would like to scrape 10 or so fields for each asin. Is there any web scraping software available that can read each asin from a database and form the destination url to be scraped like http://www.amazon.com/gp/product/{asin} and scrape the data?”

This question impelled me to investigate this matter. I contacted several web scraper developers, and they kindly provided me with detailed answers that allowed me to bring the following summary to your attention:
Visual Web Ripper

An input data source can be used to provide a list of input values to a data extraction project. A data extraction project will be run once for each row of input values. You can find the additional information here.
Web Content Extractor

You can use the -at”filename” command line option to add new URLs from TXT or CSV file:

    WCExtractor.exe projectfile -at”filename” -s

projectfile: the file name of the project (*.wcepr) to open.
filename – the file name of the CSV or TXT file that contains URLs separated by newlines.
-s – starts the extraction process

You can find some options and examples here.
Mozenda

Since Mozenda is cloud-based, the external data needs to be loaded up into the user’s Mozenda account. That data can then be easily used as part of the data extracting process. You can construct URLs, search for strings that match your inputs, or carry through several data fields from an input collection and add data to it as part of your output. The easiest way to get input data from an external source is to use the API to populate data into a Mozenda collection (in the user’s account). You can also input data in the Mozenda web console by importing a .csv file or importing one through our agent building tool.

Once the data is loaded into the cloud, you simply initiate building a Mozenda web agent and refer to that Data list. By using the Load page action and the variable from the inputs, you can construct a URL like http://www.amazon.com/gp/product/%asin%.
Helium Scraper

Here is a video showing how to do this with Helium Scraper:


The video shows how to use the input data as URLs and as search terms. There are many other ways you could use this data, way too many to fit in a video. Also, if you know SQL, you could run a query to get the data directly from an external MS Access database like
SELECT * FROM [MyTable] IN "C:\MyDatabase.mdb"

Note that the database needs to be a “.mdb” file.
WebSundew Data Extractor
Basically this allows using input data from external data sources. This may be CSV, Excel file or a Database (MySQL, MSSQL, etc). Here you can see how to do this in the case of an external file, but you can do it with a database in a similar way (you just need to write an SQL script that returns the necessary data).
In addition to passing URLs from the external sources you can pass other input parameters as well (input fields, for example).
Screen Scraper

Screen Scraper is really designed to be interoperable with all sorts of databases. We have composed a separate article where you can find a tutorial and a sample project about scraping Amazon products based on a list of their ASINs.


Source: http://extract-web-data.com/using-external-input-data-in-off-the-shelf-web-scrapers/

Handy Web Extractor

Handy Web Extractor is a simple tool for everyday web content monitoring. It will periodically download the web page, extract the necessary content and display it in the window on your desktop. One may consider it as the data extraction software, taking its own nitch in the scraping software and plugins.

What is it for?

Have you ever needed to track some web site changes without visiting it again and again? If so, you may find this program useful. The idea is simple: it periodically downloads the specified web page, extracts the part you need and displays it for you in a small window. You can easily move, resize, hide or show this window according to your needs.

It’s totally free and available for download.
How does it work?

After installing the program you will see the following window:


At the top of the window (on white background) you may see the extracted web page itself (in this case it’s a header of this article) followed by program settings (on light yellow background). If you don’t see the program settings click on the gear icon (if you want to hide them click it again).

Settings available:

    Web Site URL – type the URL of the target web-page you want to scrape
    Extract using XPath – use this option if you want to specify the portion of the web-page using XPath expression
    Extract using Regex – use this option if you want to specify the portion of the web-page using Regex expression
    Update every N min - to specify how often the program will scrape the target website
    Autostart – check this box if you want the program to start automatically when Windows starts

After you change either the web site URL or XPath/Regex expression click the “Update now” link at the bottom to rescrape the web site.

You may always access this window via the “magnet” icon in the system tray. Click the icon to show/hide the window and right-click it to display an additional menu.

That’s it. The only thing I’d like to mention here is that the program remembers all your settings right away (including window position and size) and you don’t need to “save” them manually.
Usage Examples
Stocks

You can use Handy Web Extractor as a stock tracker:


Hot news

Here is an example of how to monitor hot news using Handy Web Extractor:

Number Tracker

With Handy Web Extractor you can easily extract a single number using Regex expressions. Here is an example of how to track your program downloads:

Here is how it may look on your desktop:

Picture of the day

You may even use Handy Web Extractor to display a picture of the day from any web site :) :



Source: http://extract-web-data.com/handy-web-extractor/

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

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

Data Management Services

In recent studies it has been revealed that any business activity has astonishing huge volumes of data, hence the ideas has to be organized well and can be easily gotten when need arises. Timely and accurate solutions are important in facilitating efficiency in any business activity. With the emerging professional outsourcing and data organizing companies nowadays many services are offered that matches the various kinds of managing the data collected and various business activities. This article looks at some of the benefits that accrue of offered by the professional data mining companies.

Entering of data

These kinds of services are quite significant since they help in converting the data that is needed in high ideal and format that is digitized. In internet some of this data can found that is original and handwritten. In printed paper documents and or text are not likely to contain electronic or needed formats. The best example in this context is books that need to be converted to e-books. In insurance companies they also depend on this process in processing the claims of insurance and at the same time apply to the law firms that offer support to analyze and process legal documents.

EDC

That is referred to as electronic data. This method is mostly used by clinical researchers and other related organization in medical. The electronic data and capture methods are used in the utilization in managing trials and research. The data mining and data management services are given in upcoming databases for studies. The ideas contained can easily be captured, other services being done and the survey taken.

Data changing

This is the process of converting data found in one format to another. Data extraction process often involves mining data from an existing system, formatting it, cleansing it and can be installed to enhance both availability and retrieving of information easily. Extensive testing and application are the requirements of this process. The service offered by data mining companies includes SGML conversion, XML conversion, CAD conversion, HTML conversion, image conversion.

Managing data service

In this service it involves the conversion of documents. It is where one character of a text may need to be converted to another. If we take an example it is easy to change image, video or audio file formats to other applications of the software that can be played or displayed. In indexing and scanning is where the services are mostly offered.

Data extraction and cleansing

Significant information and sequences from huge databases and websites extraction firms use this kind of service. The data harvested is supposed to be in a productive way and should be cleansed to increase the quality. Both manual and automated data cleansing services are offered by data mining organizations. This helps to ensure that there is accuracy, completeness and integrity of data. Also we keep in mind that data mining is never enough.

Web scraping, data extraction services, web extraction, imaging, catalog conversion, web data mining and others are the other management services offered by data mining organization. If your business organization needs such services here is one that can be of great significance that is web scraping and data mining




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Outsourcing Data Entry Services

Data or raw information is the backbone of any industry or business organization. However, raw data is seldom useful in its pure form. For it to be of any use, data has to be recorded properly and organized in a particular manner. Only then can data be processed. That is why it is important to ensure accurate data entry. But because of the unwieldy nature of data, feeding data is a repetitive and cumbersome job and it requires heavy investment, both in terms of time and energy from staff. At the same time, it does not require a high level of technical expertise. Due to these factors, data entry can safely be outsourced, enabling companies to devote their time and energy on tasks that enhance their core competence.

Many companies, big and small, are therefore enhancing their productivity by outsourcing the endless monotonous tasks that tend to cut down the organization's productivity. In times to come, outsourcing these services will become the norm and the volume of work that is outsourced will multiply. The main reason for these kinds of development is the Internet. Web based customer service and instant client support has made it possible for service providers to act as one stop business process outsourcing partners to parent companies that require support.

Data entry services are not all alike. Different clients have different demands. While some clients may require recording information coupled with document management and research, others may require additional services like form processing or litigation support. Data entry itself could be from various sources. For instances, sometimes information may need to be typed out from existing documents while at other times, data needs to be extracted from images or scanned documents. To rise up to these challenges, service providers who offer these services must have the expertise and the software to ensure rapid and accurate data entry. That is why it is important to choose your service provider with a lot of care.

Before hiring your outsourcing partner, you need to ask yourself the following questions.

* What kind of reputation does the company enjoy? Do they have sufficient years of experience? What kind of history and background does the company enjoy?

* Do they have a local management arm that you can liaise with on a regular basis?

* Do the service personnel understand your requirements and can they handle them effectively?

* What are the steps taken by the company to ensure that there is absolutely no compromise in confidentiality and security while dealing with vital confidential data?

* Is there a guarantee in place?

* What about client references?

The answers to these questions will help you identify the right partner for outsourcing your data entry service requirements.



Source: http://ezinearticles.com/?Outsourcing-Data-Entry-Services&id=3568373

Data Mining Social Networks, Smart Phone Data, and Other Data Base, Yet Maintaining Privacy

Is it possible to data mine social networks in such a way to does not hurt the privacy of the individual user, and if so, can we justify doing such? It wasn't too long ago the CEO of Google stated that it was important that they were able to keep data of Google searches so they can find disease, flu, and food born medical clusters. By using this data and studying the regions in the searches to help fight against outbreaks of diseases, or food borne illnesses in the distribution system. This is one good reason to store the data, and collect it for research, as long as it is anonomized, then theoretically no one is hurt.

Unfortunately, this also scares the users, because they know if the searches are indeed stored, this data can be used against them in the future, for instance, higher insurance rates, bombardment of advertising, or get them put onto some sort of future government "thought police" watch-list. Especially considering all the political correctness, and new ways of defining hate speech, bullying, and what is, what isn't, and what might be a domestically home-grown terrorist. The future concept of the thought police is very scary to most folks.

Usually if you want to collect data from a user, you have to give them something back in return, and therefore they are willing to sign away certain privacy rights on that data in trade for the use of such services; such as on their cell phone, perhaps a free iPhone app or a virtual product in an online social network.

Artificially Intelligent Search Features

It is no surprised that AI search features are getting smarter, even able to anticipate your next search question, or what you are really trying to ask, even second guessing your question for instance. Now then, let's discuss this for a moment. Many folks very much enjoy the features of Amazon.com search features, which use artificial intelligence to recommend potential other books, which they might be interested in. And therefore the user probably does not mind giving away information about itself, for this upgraded service or ability, nor would the person mind having cookies put onto their Web browser.

Nevertheless, these types of systems are always exploited for other purposes. For instance consider the Federal Trade Commission's do not call list, and consider how many corporations, political party organizations, and all of their affiliates and partners were able to bypass these rules due to the fact that the consumer or customer had bought something from them in the last six months. This is not what consumers or customers had in mind when they decided they wanted to have this "do not call list" and the resultant and response from the market place, well, it proves we cannot trust the telecommunication companies, their lobbyists, or the insiders within their group (many of which over the years have indeed been somehow connected to the intelligence agencies - AT&T - NSA Echelon for example.)

Now then, this article is in no way to be considered a conspiracy theory, it is just a known fact, yes national security does need access to such information, and often it might be relevant, catching bad guys, terrorists, spies, etc. The NSA is to protect the American People. However, when it comes to the telecommunication companies, their job is to protect shareholder's equity, maximize quarterly profits, expand their business models, and create new profit centers in their corporations.

Thus, such user data will be and has been exploited for future profits against the wishes of the consumer, without the consumer benefiting from free services for lower prices in any way. If there is an explained reason, trade-off, and a monetary consideration, the consumer might feel obliged to have additional calls bothering them while they are at home, additional advertising, and tracking of their preferences for ease of use and suggestions. What types of suggestions?

Well, there is a Starbucks two-blocks from here, turn right, then turn left and it is 200 yards, with parking available; "Sale on Frappachinos for gold-card holders today!" In this case the telecommunication company tracks your location, knows your preferences, and collects a small fee from Starbucks, and you get a free-phone, and 20% off your monthly 4G wireless fee. Is that something a consumer might want; when asked 75% of consumers or smart phone users say; yes. See that point?

In the future smart phones may have data transferred between them, rather than going through a given or closest cell tower. In other words, packets of information may go from your cell phone, to the next nearest cell phone, to another near cell phone, to the person which is intended to receive it. And the data passing through each mobile device, will not be able to read any of the information which was it is not assigned to receive as it wasn't sent to it. By using such a scheme telecommunication companies can expand their services without building more new cell towers, and therefore they can lower the price.

However, it also means that when you lay your cell phone on the table, and it is turned on it would be constantly passing data through it, data which is not yours, and you are not getting paid for that, even though you had to purchase the smart phone. But if the phone was given to you, with a large battery, so it wouldn't go dead during all those transmissions, you probably wouldn't care, as long as your data packets of information were indeed safe and no one else could read them.

This technology exists now, and is being discussed, and consider if you will that the whole strategy of networking smart cell phones or personal tech devices together is nothing new. For instance, the same strategies have been designed for satellites, and to use an analogy, this scheme is very similar to the strategies FedEx uses when it sends packages to the next nearest FedEx office if that is their destination, without sending all of the packages all the way across the country to the central Memphis sort, and then all the way back again. They are saving time, fuel, space, and energy, and if cell phones did this it would save the telecommunication companies mega bucks in the savings of building new cell towers.

As long as you got a free cell phone, which many of us do, unless we have the mega top of the line edition, and if they gave you a long-lasting free battery it is win-win for the user. You probably wouldn't care, and the telecommunication companies could most likely lower the cost of services, and not need to upgrade their system, because they can carry a lot more data, without hundreds of billions of dollars in future investments.

Also a net centric system like this is safer to disruption in the event of an emergency, when emergency communications systems take precedence, putting every cell phone user as secondary traffic at the cell towers, which means their calls may not even get through.

Next, the last thing the telecommunication company would want to do is to data mine that data, or those packets of information from people like a soccer mom calling her son waiting at the bus stop at school. And anyone with a cell phone certainly wouldn't want their packets of information being stolen from them and rerouted because someone near them hacked into the system and had a cell phone that was displaying all of their information.

You can see the problems with all this, but you can also see the incredible economies of scale by making each and every cell phone a transmitter and receiver, which it already is in principle anyway, at least now for all data you send and receive. In the new system, if all the data which is closest by is able to transfer through it, and send that data on its way. The receiving cell phone would wait for all the packets of data were in, and then display the information.

You can see why such a system also might cause people to have a problem with it because of what they call net neutrality. If someone was downloading a movie onto their iPad using a 3G or 4G wireless network, it could tie up all the cell phones nearby that were moving the data through them. In this case, it might upset consumers, but if that traffic could be somewhat delayed by priority based on an AI algorithm decision matrix, something simple, then such a tactic for packet distribution plan might allow for this to occur without disruption from the actual cell tower, meaning everyone would be better off. Therefore we all get information flow faster, more dispersed, and therefore safer from intruders. Please consider all this.





Source: http://ezinearticles.com/?Data-Mining-Social-Networks,-Smart-Phone-Data,-and-Other-Data-Base,-Yet-Maintaining-Privacy&id=4867112

The A B C D of Data Mining Services

If you are very new to the term 'data mining', let the meaning be explained to you. It is form of back office support services that are being offered by many call centers to analyze data from numerous resources and amalgamate them for some useful task. The business establishments in the present generation need to develop a strategy that helps them to cooperate with the market trends and allow them to perform well. The process of data mining is actually the retrieval process of essential and informative data that helps an organization to analyze the business perspectives and can further generate better interests in cutting cost, developing revenue and to acquire valuable data on business services/products.

It is a powerful analytical tool that permits the user to customize a wide range of data in different formats and categories as per their necessity. The data mining process is an integral part of a business plan for companies that need to undertake a diverse research on the customer building process. These analytical skills are generally performed by skilled industrial experts who assist the firms to accelerate their growth through the critical business activities. With a vast applicability in the present time, the back office support services with the data mining process is helping the businesses in understanding and predicting valuable information. Some of them include:

    Profiles of customers
    Customer buying behavior
    Customer buying trends
    Industry analysis

For a layman it is somewhat the process of processing some statistical data or methods. These processes are implemented with some specific tools that preform the following:

    Automated model scoring
    Business templates
    Computing target columns
    Database integration
    Exporting models to other applications
    Incorporating financial information

There are some benefits of Data Mining. Few of them are as follows:

    To understand the requirements of the customers which can help in efficient planning.
    Helps in minimizing risk and improve ROI.
    Generate more business and target the relevant market.
    Risk free outsourcing experience
    Provide data access to business analysts
    A better understanding of the demand supply graph
    Improve profitability by detect unusual pattern in sales, claims, transactions
    To cut down the expenses of Direct Marketing

Data mining is generally a part of the offshore back office services and outsourced to business establishments that require diverse data base on customers and their particular approach towards any service or product. For example banks, telecommunication companies, insurance companies, etc. require huge data base to promote their new policies. If you represent a similar company that needs appropriate data mining process then it is better that you outsource back office support services from a third party and fulfill your business goals with excellent results.

Katie Cardwell works as a senior sales and marketing analyst for a multinational call center company, based in United States of America. She takes care of all the business operations and analysis the back office support services that power an organization. Her extensive knowledge and expertise on Non -voice call center services such as Data Mining Services, Back office support services, etc, have helped many business players to stand with a straight spine and thus making a foothold in the data processing industry.




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