Web Scraping the Easy Way – Know the Basics

Web Scraping is also known as Screen Scraping, Web Data Extraction, Web Harvesting etc. is a technique that is used to extract large amounts of data from websites the data is extracted and saved to a local file in your computer or to a database in a spreadsheet format. Web Scraping is the technique of automating this process in which the Web Scraping software will perform the same task within a fraction of the time instead of manually copying the data from websites.  The act of data extraction which is done manually, automated and gives the higher quality output.


Web Scraper

 

Web scraping is done with a software that simulates human Web surfing in order to collect specified bits of information from different websites and helps to collect certain data to sell to other users, or to use for promotional purposes on a website. Website scraper is the software that extract the data from multiple number of pages as per our requirements. Web scraper automatically identifies and fetches the patterns of data and scraps or reformat the data whenever repeated. It automatically extracts the data from multiple data. The web scraper downloads the image for the automated processes.  A web scraper can even ban the computer from accessing the data. This scraper helps to collect the data and create our own data.

Work

The work of web scraping is done with the webs scraper bot for which the operators invest in serveries for the data being extracted. A web scraper  bot is the software program that typically runs automated tasks with unattainable great speed.


Techniques

 

There are many techniques of web scraping.

  • Text pattern matching

Text pattern matching is basically the checking the sequences of data among the raw data, to extract the exact match.

  • HTTP programming

HTTP is the Hypertext transfer protocol that is the protocol that transfers the information between the computers and encrypt and decrypt their data according to the requests.

  • HTML parsing

HTML parsing is the software used for Hypertext Markup Language. HTML is the process for the analysing of data for storing.

  • DOM parsing

The Document Object Model (DOM) is the interface that allows to access and update the information used in the XML documents and with up-to-date style, text and pictures.

  • Computer vision web

Computer vision web is the ability to understand visual data, and interdisciplinary field. It seeks to acquire, process, analyse, and understand images.


Benefits

 

  1. Its enables to scrap product details. Boost analytics to extract all the data.
  2. Nothing can be hidden. The data can be scrapped which is further used in investment companies, analyzing companies, etc.,
  3. In helps in shilling. Shilling is an activity that aims to detect the fraudulent activities for the betterment of the company. Therefore, it enables the company to reduce the spamming so that no fake comments or data is present on the online portal of the company.
  4. It enables to update the portals of the company so businesses are able to update the data instantly with the help of data scraping.
  5. The extraction of data that is the data scraping helps to save the data into a single location.

Data Mining – Extract Useful Data

 

Data. It’s something that everybody has and everybody wants more of.

 

 

Over time, the amount of data in the universe has piled up in huge amounts, with more and more being added to the pile every day. Now, the term Big Data is being used to describe data that is extremely vast and cannot be easily measured.

Every company needs data to function- whether it’s based on customer reception to a product or service, or client-based information or data within your own system. Sometimes it is freely available and easy to get, but sometimes you have to dig a little deeper. Usually, a data scientist or analyst is hired to do the job of digging up data.

But the truth is anybody can do it. You don’t necessarily have to be a data scientist to do the job. This is where the concept of data mining steps in.

What is Data Mining?

In simple terms, data mining is a way to extract useful data from a large pile of raw data. It also involves checking or analyzing patterns in the data you’re collecting, using various kinds of tools and software.

You could use a tool like a web crawler software, for example, to extract the data you’re looking for.

Let’s take a look at the various other tools you could use to mine data.

Tools Used to my Data

Data mining software can either be an open source or a paid mining tool. Now, an open source tool is freely available, sure, but you might need to have the good coding knowledge to use it. The paid tools are a lot easier to use and give you immediate results. There several out there to choose from, but it’s important to choose one that meets your needs.

Understand what kind of data you need before you move ahead. If you’re going to go for data from your own system, then you can probably go ahead without expecting trouble. But if you need to go for data outside, then you might have to use a proxy server to cover up your footprints.

Now that you’ve chosen a tool and understood what kind of data you need, it’s time to take a look into the actual mining process.

Mining for Patterns

As mentioned before, the most important part of mining data is looking for a set of patterns.

There are various kinds of pattern. Some common ones are Association Learning Patterns, Anomaly, and Cluster Detection.

Association Learning consists of looking for patterns where you find items that are often bought together. Let’s say a man wants to buy a mobile phone, he might also want to buy a phone cover or a memory card. You find out which items customers usually buy together and then offer it next time a customer chooses the item.

Anomaly pattern is when there is a complete deviation from the usual selections. A Cluster pattern is when you categorize a customer under one cluster that has the same buying patterns. This helps predict what they usually buy and offer something along the same line.

Importance of Data Mining

Hence Data Mining is an important tool for businesses to understand their customers and for several other measures like database marketing and upselling their products.

Competitor Price Monitoring – Get an Edge in the Market

 

Competitive pricing

It’s the process of selecting strategic price points to take better advantage of the market than your competition. This pricing method is used by businesses which sell the same products, though their services may be different. This type of strategy is used for products which have been on the market for so long that their alternatives are also available. There are usually only three choices present in front of the businesses in terms of pricing, either sell their products at lower cost than competition, at equal cost or at higher cost than the competition. When your business is online, people get easy option to compare online your competitors prices. And if they find your competitors selling the same products that you are selling but at cheaper cost, they are going to opt for your competition and sooner or later you may end up losing your business. Online business is all about pricing and better the price, better the business.

Competitive pricing

 

Monitoring the competitors pricing

Competitor’s price monitoring is crucial strategy for the business. It’s the strategy that helps in finding the perfect pricing at the perfect time. Monitoring the competitor shouldn’t be the only criteria to set the prices but it’s an important one. Not only the pricing of your customers, but you should also be looking at your log and figure the trends of your buyers and your products perceived value. It’s the best way to stay ahead of the competition. You can also find out where you stand with respect to your competition.

For all this to happen conveniently, web scraping is a powerful tool that can act like a canon and give you an advantage over others. With web scraping, you can easily find out the pricing data whenever you want to.

To create your own competitor price monitoring strategy, just follow these simple steps:-

  • Competition identification- the first and foremost you should identify your competition. It’s only after you know who you are competing against that you can get a hold over them. Use Google or social media websites to find out your competition.
  • Identification of competitive assortment- you should have knowledge of which of your products are being sold more than or less than your competitors. Web scraping helps you to find it out and hence increases your chances of selling more than your competition.
  • Analysis of data- run the data which you have collected through scraping through an analytics platform and you will quickly identify the trends and compare the prices.

 

Importance of competitor price monitoring

Competitor price monitoring can be used to determine what competitors influence the sales of your business. It’s very beneficial if you know what your competitors are selling and at what price. Knowing this would help you to set up a better price which can increase your sales and get ahead of the competition. If your competitors are selling products at lower cost than you, you will definitely lose to your competition. It will help in avoiding in making pricing mistakes. Pricing has an obvious impact on your sales. If they are too high, consumers will obviously run away from you. Too low and you’re basically keeping the money on the table. The modern business world waits for none and you must always be ahead of your competition. Monitoring your competitors prices is like having a cheat sheet in your exam. That’s how much advantage you have when you monitor your competitors prices.