Friday, 10 October 2014

Grow your business faster with affordable web data extraction services

Data is vital to running a successful business, and every business today tries to incorporate business intelligence value into its operations model by analyzing market trends, studying competitors, and observing user and market demands. A huge amount of historical as well as general Data Extraction is needed in order to accurately study and predict such factors, and gaining access to it is not an easy task. Any business that has a well documented database is highly unlikely to share its resources with anyone else, and most businesses have no choice other than to either purchase this data from a broker, or slowly collect the data on their own. 

Now with the entry of web data extraction services in the market, companies have a third option. One that optimally balances monetary as well as timing related needs of the business.For contact information to product details, and even blogs about a particular topic, the needs of a business when it comes to data are varied, and there is no single extraction solution that fits all needs. This is the reason that businesses require the services of a data extraction provider who can customize their tools to pull out specific data on the client's demand. At the same time, in order to quality being dubbed the best web data extraction service provider, the company needs to have an already existing database of popularly needed information, which a business can purchase whenever they need it.

Understanding data extraction

Before you can even begin to decide which data extraction service is right for you, you must first know what data extraction really is. Data exists in many forms online, not all of them readable by machines. Images, for example, can have enormously useful information, but a software cannot tell what they contain. Graphics and videos often contain vital data, which would benefit businesses immensely, and needs to be extracted and saved in a form that can be easily indexed and searched by software solutions. This process of making otherwise unreadable data ready, for software solutions of machines is known as data extraction. 

Data extraction is a delicate process that often combines human intelligence with computing power of the machine to achieve desirable results. Information needs to be verified to ensure that extraction was without any error. When trying to find the best web data extraction services for your business, it pays to understand the efforts that the company will have to put in, in order to offer you a high quality standard. 

Get reliable and affordable web data extraction services for your needs. Make sure that your business gets to profit from the amazing array of opportunities that the possession of a well built database presents. Hire an affordable data extraction service and gain access to all the information that you require for working in an even better and professional manner. Their services can directly affect the operations of your business, so make sure you pick only the best web data extraction services provider for your needs.

Thursday, 25 September 2014

Why Data mining is still a powerful tool to help companies

The ability of Data mining technologies to sift through volumes of data and arrive at predictive information to empower businesses can in no way be undermined. The advent of new techniques and technologies has made the practice more affordable by organizations both big and small. The new technologies have not only helped in reducing the overhead costs of running the data mining exercise, but also simplified the practice making it more accessible for smaller and mid-size companies employ it in their organizational processes. In the current era, information is power and Web Data Mining Technologies are stretching the limits of their capabilities to help organizations acquire that power.

Data Mining Ensures Better Business Decisions
Organizations usually have access to large databases which store millions of historical data record. Traditional practices of hands-on analysis of patterns and trends of all available data proved to be too cumbersome to be pursued and were soon replaced with shorter and more selective data sets. This caused hidden patterns to remain hidden thus blocking off possibilities for organizations to grow and evolve. However, the advent of Data Mining as a technology that automates the identification of complex patterns in those databases changed all that. Organizations, now, are engaging in a thorough analysis of massive data sets and are moving ahead to extracting meanings and patterns from them. The analysis helps to unlock the hidden patterns and enables organizations to predict future market behavior and be geared with proactive and knowledge driven decisions for the benefit of their business.

Data Mining provides Fraud Detection Capabilities
Loss in Revenue has definite adverse impacts on a company’s morale. It slackens productivity and slows down their growth. Fraud is one of the common malpractices that eat into the organization’s revenue earning capability. Data Mining helps to prevent this and ensures a steady rise in their revenue graph. Data mining models can be built to predict consumer behavior patterns which help in effectively detecting fraud.

Data Mining Evolves to be Business Focused
Traditional Data Mining technologies were focused more on algorithms and statistics on delivering results which, though good failed to address the business issues appropriately. The new age data mining technologies, however, have evolved to become business focused. They understand the needs that drive the business and utilize the strong statistical algorithms built into their system to explore, collect, analyze and summarize data that can be made to work for better health of the business.

Data Mining has become more Granular
As technology evolves, organizations leverage the benefits it generates. Integration of fundamental data mining functionalists into database engines is one such innovation that has helped organizations to thoroughly benefit from its effect. Mining data from within the database instead of Web Data Extraction the data and then analyzing it saves valuable time for the organization. Moreover, as organizations can now drill down into more granular levels of the data therefore there is a higher possibility of ensuring accuracy. Moreover, as data mining software now have a more direct access to the data sets within the database, there is a higher possibility of ensuring a smoother workflow and hence a better performance.

Data mining, though capable of helping organizations generate good things, however, needs to be used intelligently. It has to be strongly aligned with the organization’s goals and principles in order to ensure appropriate performance that would strengthen the organization adequately.

Wednesday, 3 September 2014

How to Build Data Warehouses using Web Scraping

Businesses all over the world are facing an avalanche of information which needs to be collated, organized, analyzed and utilized in an appropriate fashion. Moreover, with each increasing year there is a perceived shortening of the turnaround time for businesses to take decisions based on information they have assimilated. Data Extractors, therefore, have evolved with a more significant role in modern day businesses than just mere collectors or scrapers of unstructured data. They cleanse structure and store contextual data in veritable warehouses, so as to make it available for transformation into useable information as and when the business requires. Data warehouses, therefore, are the curators of information which businesses seek to treasure and to use.

Understanding Data Warehouses
Traditionally, Data Warehouses have been premised on the concept of getting easy access to readily available data. Modern day usage has helped it to evolve as a rich repository to store current and historical data that can be used to conduct data analysis and generate reports. As it also stores historical data, Data Warehouses are used to generate trending reports to help businesses foresee their prospects. In other words, data warehouses are the modern day crystal balls which businesses zealously pore over to foretell their future in the Industry.

Scraping Web Data for Creating Warehouses

The Web, as we know it, is a rich repository of a whole host of information. However, it is not always easy to access this information for the benefit of our businesses through manual processes. The data extractor tools, therefore, have been built to quickly and easily, scrape, cleanse and structure and store it in Data Warehouses so as to be readily available in a useable format.

Web Scraping tools are variously designed to help both programmers as well as non-programmers to retain their comfort zone while collecting data to create the data warehouses. There are several tools with point and click interfaces that ease out the process considerably. You can simply define the type of data you want and the tool will take care of the rest. Also, most tools such as these are able to store the data in the cloud and therefore do not need to maintain costly hardware or whole teams of developers to manage the repository.
Moreover, as most tools use a browser rendering technology, it helps to simulate the web viewing experience of humans thereby easing the usability aspect among business users facilitating the data extraction and storage process further.


The internet as we know it is stocked with valuable data most of which are not always easy to access. Web Data extraction tools have therefore gained popularity among businesses as they browse, search, navigate simulating your experience of web browsing and finally extract data fields specific to your industry and appropriate to your needs. These are stored in repositories for analysis and generation of reports. Thus evolves the need and utility of Data warehouses. As the process of data collection and organization from unstructured to structured form is automated, there is an assurance of accuracy built into the process which enhances the value and credibility of data warehouses. Web Data scraping is no doubt the value enhancers for Data warehouses in the current scenario.

Tuesday, 26 August 2014

How Data Scraping can extract Data from a Complex Web Page?

The Web is a huge repository where data resides both in structured as well as unstructured formats and presents its own set of challenges in the extraction.The complexity of a website is defined by the way it displays its data. Most of the structured data available on the web are sourced from an underlying database, while the unstructured data are randomly available. Both, however, make querying for data a complicated process. Moreover, Websites display the information in HTML format marked by their unique structure and layout, thereby complicating the process of data extraction even further. There are, however, certain ways in which appropriate data can be extracted from these complex web sources.
Complete Automation of Data Extraction process

There are several standard automation tools which require human inputs in order to start the extraction process. These Web automation processes, known as the Wrappers, need to be configured by a human administrator so as to carry out the extraction process in a pre-designated manner. This method, therefore, is also referred to as extraction through the supervised approach. Owing to the use of human intelligence in pre-defining the extraction process, this method assures a higher rate of accuracy. However, it is not without its fair share of limitations. Some of these are:
  •  It fails to scale-upsufficiently in order to take on a higher volume of extraction more frequently and from multiple sites. 
  •  They fail to automatically integrate and normalize data from a large number of websites owing to its inherent workflow issues 
As a result, therefore, fully automated data extraction tools which do not require any human input are a better option to tackle complex web pages. The benefits they afford include the following:

  • They are better equipped to scale up as and when needed 
  •  They can handle complex and dynamic sites, including those running on Java and AJAX 
  •  They are definitely more efficient than the use of manual processes, running scripts or even using Web Scrapers.

Selective Extraction

Web sites today comprise a host of unwanted content elements that are not required for your business purpose. Manual processes, however are unable to eliminate these redundant features from being included. Data Extraction tools can be geared to exclude these in the extraction process. The following things are noted in order to ensure that:
  • As most irrelevant content elements like banners, advertisements and the like are found at the beginning or the end of the web page, the tool can be configured so as to ignore the specific regions during the extraction process. 
  • In certain web pages, elements like navigation links are often found in the first or last records of the data region. The tool can be tuned to identify these and remove them during extraction. 
  • Tools are equipped to match similarity patterns within data records and remove ones that bear low similarity with essential data elements as these are likely to have unwanted information.

Web Data Extraction through automated processes provides the precision and efficiency required to extract data from complex web pages. If engaged the process helps you to achieve satisfactory innovations in your business processes.

Wednesday, 13 August 2014

How does Web Scraping Identify the Data you Want

The Web is one of the biggest sources of data that should be leveraged for your business. Be it an email, an URL or even a hyperlink text you are looking at, it comprises data that could be translated into useful information for your business. The challenge however lies in identifying the data that is relevant for your needs and enabling access to the required data. Web Scraping tools, however, are geared to help you address this need and leverage the benefit of this huge information repository.

Web Scraping and how it Works?
Web Scraping is the practice followed to extract data from relevant sources on the Web and transforming them into crucial information packages for use in your business. This is an automated process which is executed with the help of a host of intuitive Web Extraction tools, thus facilitating ease, accuracy and convenience in extracting vital data.

Scrapers also work by writing intelligent pieces of code that scour the web and extract data that you need for the benefit of your business. The languages used for coding these scrapers are Python, Ruby and PHP. The language you use will be determined by the community you have access to.

As mentioned earlier, the biggest challenge that web scraping is subjected to include the identification of the right URL, page and element in order to scrape out the required information. No matter how good you may be at coding scripts, no amount of that will help you achieve your objective if you fail to develop an understanding of the way the web is structured. It is this which will enable you to structure your code in a manner that will be the most effective in scraping the desired information.

Understanding a Web Site
A Web Site appears on your browser owing to two technologies. These include:
  • HTTP – The language used to communicate with the server for requesting the retrieval of resources, namely, images, videos, and documents and so on.
  • HTML – The language that helps to display the retrieved information on the browser.

The display format of your website is therefore defined using the HTML. It is within the folds of its syntax, that you will find the data which you need to extract. It is, therefore, important that you understand the anatomy of a web site by studying the structure of an HTML Page.

The HTML Page Structure
An HTML page comprises a stack of elements known as tags, each bearing a specific significance. The first among these being the header tags that comprises mostly all the elements within it. The table element, the most important so far as data containers are concerned, is a crucial element that you need to study. It comprises several table rows (TR) and table data (TD) elements that hold the vital data nuggets that you might need to train your scrapers to extract.

In addition to these, HTML pages comprise a series of other tags that act as vital data holders, namely, image tags (img src), hyperlinks (a href) and the div tags which essentially refer to a block of text.
The scraper code needs to be built around your understanding of the HTML elements. Knowing the elements will help you to understand the specific location where relevant data are stacked. This helps you to correctly define the code so as to enable the scraper to search and extract the right element in order to provide you with the most appropriate information.

Tuesday, 5 August 2014

Collect Targeted Data from Web Using Data Extractor Tools

The use of data to enhance your business prospects is a widely acknowledged fact. It is therefore very important that you have access to relevant data and not just any data in order to further your growth prospects. Utilizing the features and benefits of Web Scraper tools can help you achieve this goal effortlessly.

Customizing Web Extraction Tools for Your Business

The Internet is a maze of information repositories and identifying the right information from the right source may pose to be a major challenge. Moreover, data incorrectly sourced may result in erroneous analysis leading to a faulty strategy and slow growth for your business.  The risk is, however, considerably mitigated by employing Web extractor tools in your business processes and leveraging the advantages they provide. 

Web extraction tools are used for the singular task of extracting relevant unstructured data from specific web sites and providing business users with a set of structured useable data. They perform this vital task with the help of scripting languages like python, Ruby, or Java. The biggest advantage of utilizing Web extraction tools is its ability to be customized as per the business requirement. This is easily achieved by defining the specific seed list you wish to scrape in the crawler script. A Seed list is the series of URLs that you wish to scan in order to extract the relevant data.  Thus defined, the crawler will scan only the targeted URLs. Along with the Seed list you can also specify the following relevant information to customize the scraper tool and ensure that it delivers as per your requirement. These defining parameters include:

  • Define the number of pages you wish the scraper to crawl

  • Define the specific file types you want the scraper to crawl
  • Define the type of data you would like to extract
This ensures that you can launch a focused search for the specific type of data that you wish to extract and also defines the appropriate source you want the crawler to access.

Benefits of using Targeted Data 

Every business pertains to a specific domain. Its growth prospects, its revenue and its present standing are all defined by the demands and dynamics of that domain. Therefore, undertaking a study of its individual domain is one of the chief pre-requisites that your business must concentrate its efforts on in order to accelerate its growth. Moreover, through your business, you need to conduct a detailed analysis of competitive data in order to remain contextual in your specialized domain. Web Extractor tools have been equipped to understand this need and scrape pertinent data to foster growth patterns that strike the right chords. Some of the benefits leveraged from the extraction of targeted data include:

  • Updated financial information from competitor sites on stock prices and product prices helps you to estimate and launch competitive rates for your stocks and products
  • Studying market trends for a competitor’s products help you to position your product and plan your promotional campaigns effectively
  • Studying analytics of competitor websites will ensure that you are able to plan your web promotions in a far more effective way
  • Extracting data from blogs and websites that cater to your personal interests and hobby areas help you to build up your own knowledge repository which you can leverage to achieve benefits for your business as and when required.

Friday, 1 August 2014

How Simple Data Scraping Tools Make Marketing Simpler

Marketing, the art of popularizing or promoting your product and influencing prospective buyers, depends on a foolproof strategy in order to achieve success. The strategy should be defined using accurate knowledge. The accuracy of this knowledge can be authenticated from the credible information sources which are scraped with efficient web data extraction tools to extract the relevant data available on related and competitive sites. In order to leverage the benefits of web data scraping to help you draft an effective marketing strategy, it is recommended that you take a deeper look into its nuances.

The Role of Web Data Extraction in Designing Marketing Strategies

Every business wishes to ensure the maximum visibility of its products within its targeted customer base. Marketing dynamics revolve primarily around this aspect. As product visibility is possible primarily through promotions, therefore, organizations build their marketing strategies around promoting or increasing the awareness of their product or services using the contact details, like email ID, Website URL and so on, of their focused client base.

Client data, such as these, can be easily extracted from the Web using simple data scraping tools. These tools are designed to not only extract or scrape data, but also analyses, categorize and populate excel sheets to help you in using them effectively.

Uses of Data in Marketing

Data is a chief component in drafting marketing strategies. Lack of sufficient amount of accurate data about your competition will render you incapable of understanding how the industry is functioning. Without a proper idea about this crucial aspect, you will land up with unproductive and erroneous marketing plans. Let us take a look at some of the ways in which data scraping tools can help you in extracting correct data.

  • Intelligent Scraping tools are able to help you identify other competitors in your domain. The tools are used in scraping the organic search results by using a specific search term. This also helps you to understand the primary keywords and titles that are being used by others in your industry to design their websites and improve their rankings in search engines.
  • Data extraction tools are also useful in helping you extract a whole host of On-page elements about your competition’s website. The data extracted includes title tags, Meta description tags, Meta keywords tag, Heading tags, backlinks and even Facebook likes. These provide you with crucial inputs on your competitor’s website strategies. Thus providing you with the relevant directions as to how you can chart up your marketing plans. 
  • Email extractors are equally useful data scraping tools that help you to acquire the email information from various sources like web pages, HTML files or even text files. This helps you to build your business contacts for your marketing strategies. 
  • The most useful and productive service provided through extraction tools is that of Data mining. The utility of this service lies in the fact that it helps to transform extracted data into useful information by importing them into human-readable formats namely, MS excel, CSV, or HTML. This also indicates the basic difference between data parsing and data extraction. Where one makes data available for machine interpretation only, the other makes information available for use by the end-user.