Understanding URL scraping

Understanding URL scraping

URL scraping is the process where you automatically extract and filter URLs of WebPages that have specific features. The features that you are looking for vary depending on your goal. For example, if you are looking for a site where you can place your comment and get back link juice, you should go for WebPages that allow dofollow comments.

Techniques for URL scraping

There are many techniques that you can use to get the URL that you are looking for. Some of these techniques include:

Copy pasting: this is where you visit a given site and check whether it has the features that you are looking for. For example, if you are interested in dofollow links, you should visit a number of sites and find out if they have your target links. You should then identify the ones that have the features that you are looking for and compile a list.

Text grepping: this is a technique that allows you to search plain text on websites that match a regular expression. Although, the technique was designed for Unix, you can also use it on other operating systems.

HTTP programming: here you retrieve the WebPages that have the features that you are looking for. You should then note the URL of the pages. To retrieve the pages you have to post HTTP requests using a remote server that uses socket programming.

HTML Parser: a HTML parser allows you to mine data by detecting a common template, script or code on a specific website or Webpage. To be able to detect the script or code you have to use one of the many programming languages: HTQL, Java, PHP, XQuery and Python. Once the data is extracted, it's translated and packaged in a way that you are able to easily understand it.

DOM parsing: This is a technique where you retrieve dynamic content that has been generated by client side scripts that execute in a web browser such as Google Chrome, Mozilla Firefox or any other browsers.

URL scraping software: this is the easiest way of scraping URLs as all you need is high quality software that will do all the work for you. You should identify the features that you are interested in and then give command to the software. The software will go through all the sites on the internet and extract the URLs of the pages that have your target features.

Source: http://www.amazines.com/article_detail.cfm/6180373?articleid=6180373

Why is web scraping worldwide used

Why is web scraping worldwide used

Nowadays a huge amount of information is placed online, and alongside with it, appeared new techniques and software that analyse and extract it. Such a software technique is web scraping, which simulates human exploration of the World Wide Web. The software that does this either implements the low-level Hypertext Transfer Protocol or embeds a web browser. Its main goal is to automatically collect information from the World Wide Web. This process requires semantic understanding, text processing, artificial intelligence and a close interaction between human and computer. This technique is widely used by business owners that want to find new ways of increasing their profit and using the relevant marketing strategies.

Web scraping is important for successful businesses because it provides three categories of information: web content, web usage and web structure. This means that it extracts information from web pages, server logs, links between pages and people, and browser activity data. This helps companies having access to the needed data, because web scrapping services transform unstructured data into structured data. The direct result of this process is seen on the outcome of the businesses. Companies set up easy web scraping programs that have the purpose to provide reliable and efficient information for its users. These services make this process much easier. Because companies are the ones that focused their energy to implement such a program, they benefit from multiple advantages. The companies that want to have a close relation with their clients, have the opportunity to send notifications to their customers that include promotions, price changes, or the launching of a new product. When using web scraping, companies have the opportunity of comparing their product prices with the ones of the similar ones.

Web data extraction proves to be very useful when meteorologists want to monitor weather changes. The companies that use this type of information extraction have also other advantages alongside with the ones listed above. This process allows them to transform page contents according to their needs, and they can be sure that the data collected is reliable and accurate. They can retrieve the data from their websites, because this process can be used with both dynamic and static pages. Web data extraction is very valuable because it is able to recognize semantic annotation. The companies that need complicated data can get it by using web scraping, and this leads to minimizing costs and more sales. Companies choose to use marketing intelligence because it helps them increase their profit through good business practices. The companies that use these services are the ones that practice online shipping, because they want to provide their clients information about services, terms of services and products. Other type of businesses that uses this service are stores, which supply their products online. This service helps them provide information about their services and products, but if it is a more complex store, then it helps them offer their clients details about their procedures and head offices. Web scraping proves to be a successful way of achieving success in many domains.

Source: http://www.amazines.com/article_detail.cfm/6193234?articleid=6193234

Benefits of Predictive Analytics and Data Mining Services

Benefits of Predictive Analytics and Data Mining Services

Predictive Analytics is the process of dealing with variety of data and apply various mathematical formulas to discover the best decision for a given situation. Predictive analytics gives your company a competitive edge and can be used to improve ROI substantially. It is the decision science that removes guesswork out of the decision-making process and applies proven scientific guidelines to find right solution in the shortest time possible.

Predictive analytics can be helpful in answering questions like:

-  Who are most likely to respond to your offer?
-  Who are most likely to ignore?
-  Who are most likely to discontinue your service?
-  How much a consumer will spend on your product?
-  Which transaction is a fraud?
-  Which insurance claim is a fraudulent?
-  What resource should I dedicate at a given time?

Benefits of Data mining include:

-  Better understanding of customer behavior propels better decision
-  Profitable customers can be spotted fast and served accordingly
-  Generate more business by reaching hidden markets
-  Target your Marketing message more effectively
-  Helps in minimizing risk and improves ROI.
-  Improve profitability by detecting abnormal patterns in sales, claims, transactions etc
-  Improved customer service and confidence
-  Significant reduction in Direct Marketing expenses

Basic steps of Predictive Analytics are as follows:

-  Spot the business problem or goal
-  Explore various data sources such as transaction history, user demography, catalog details, etc)
-  Extract different data patterns from the above data
-  Build a sample model based on data & problem
-  Classify data, find valuable factors, generate new variables
-  Construct a Predictive model using sample
-  Validate and Deploy this Model

Standard techniques used for it are:

-  Decision Tree
-  Multi-purpose Scaling
-  Linear Regressions
-  Logistic Regressions
-  Factor Analytics
-  Genetic Algorithms
-  Cluster Analytics
-  Product Association

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