Web Scraping In Travel Industry



Who doesn’t like travelling and exploring the unexplored? And probably that is why the travel industry is one such industry which round the year makes profit in one way or the other. Also, with new travelling and booking websites and apps coming into the market every now and then, this industry is at a boom presently, with the vacation seasons adding the much-needed icing on the cake.

However, like every coin has two faces, in a similar fashion, the success of the travel industry too has two facets to it. On one hand, where this success presents plenty of opportunity for travel managers, on the other hand it brings along with it, fierce competition. And so, if any firm / organisation wants to have a stronger hold on the grounds and create a niche in the competitive arena at the same time offering an enriched customer experience to the travelers, it is an absolute necessity for it to leverage key resources like data scraping and big data platforms.

One of the major benefits of data scraping is that it helps in tracking and automating competitive price monitoring. Utilizing data scraping techniques allows the respective firm and/ or organisation to monitor their competitors’ pricing in the pursuit of optimizing their own accordingly. So also, it helps in choosing the ideal price point to stay competitive and attract more customers, at the same time maximizing the profit rates.

Not only this, it is a tool to analyse customer behavior, feedback, reviews, and demands, enabling one to understand the customers better and thence, fine-tune the business practices accordingly so as to deliver better services to the targeted strata of people.

But with the competition heating up every day, conventional data scraping tools are lagging behind in providing the optimum and so, the requirement of more robust and dynamic web data integration solutions have become the need of the hour. These enhanced services allow one to extract, prepare, and normalize data in a very easy and efficient manner with the help of reports and visualizations.

However, with the many benefits of web scraping there also comes handy a few risks. Legal atrocities, data authentication issues and resource / tool verification are some of the risks which are involved and are crucial to be handled properly. Also, with everyday changes in the market strategies, new software development patches come in so that the tool being used is up-to-date to handle the scenario well. In such cases, it becomes difficult for the commoners to handle it efficiently as not everyone is well trained in this sphere.

But worry not! ITSYS Solutions is there to your help. With years of experience in web scraping, data harvesting and bid data handling, the ITSYS professionals are there to ensure that your own data is safe and at the same time the data being scraped upon doesn’t lead to any legalities. Also, our testimonials speak of the excellence we portray in our work. So why wait, choose ITSYS Solutions and kick start your graph of exponential growth.

Compliance and Risk Management


Compliance, in general, means in compliance to a rule, such as a specification, policy, standard or law. Risk management is the identification, assessment, prioritization and mitigation of the effect that can be placed upon an organization. Risk management can imply both negative risks as well as positive risks. The term “risk management” is mostly used by different groups of specialists to define rather diverse, yet associated, functions. Risk management can be classified in three types: operational risk management, financial risk management, and enterprise risk management.

Without a doubt, compliance and risk management are closely aligned:

Compliance with established rules and regulations helps protect organizations from a variety of unique risks, while risk management helps protect organizations from risks that could lead to non-compliance—a risk, itself. However, they have differences.


Tactical vs. Strategic

Since non-compliance can prompt expensive fines and penalties, not to forget reputation damage, it should not be underestimated. Risk management, on the other hand, should rest more heavily on analysis in order to avoid risks or govern risks worth taking.


Prescribed vs. Predictive

With compliance, organizations must follow rules and regulations already there. Risk management, nonetheless, should be less responsive. It should be able to predict the impact risks will have on the organization—encouraging new and inventive procedures (as opposed to contributing to established rules) that lessen risks or take benefit of their pluses.


Risk Aversion vs. Value Creation

Conforming with governance rules and regulations hardly interprets into value-generating business propositions. Compliance usually stops with proof that a rule has been followed to evade risks. The best risk management, though, can convert the necessary evils associated with compliance into a boon.


Siloed vs. Integrated

Most of the time compliance is driven by a siloed compliance department or siloed initiatives in various departments. Although compliance practices certainly benefit from broad transparency, still they can survive without it. On the other hand, the most impact risk management programs cannot accomplish in silos. Integrating departments, technology systems and processes is essential to control the predominant risks within an organization and how they should be controlled—whether it’s to circumvent their insinuations or drive value.


Managing Compliance Risk

A workable plan, procedures and technology is needed to manage compliance risk. Little to no compliance risk management: A compliance team has to be formed to identify compliance needs and requirements, evaluate the existing compliance program, form a phased budget for objectives, and allocate resources to touch the objectives.


Aging compliance process and technology: Evaluate compliance and objectives, and invest in new technology.

Compliance and risk management are not the same. And organizations need to be wary to not lump the two together as one initiative, with one attitude. Nevertheless, understanding their resemblances and how to support the two is equally significant—allowing one to gain the assistance from compliance and risk management being in sync.

Media Scraping and Public Relations


Media scraping or social media scraping is a popular method employed in order to determine various data from social networking sites such as Facebook, Instagram, twitter, Snapchat, LinkedIn. The data is also obtained from blogging sites like WordPress, Blogger, other important new sites and pages like Wikipedia, Encyclopedia Britannica. The obtaining of data is done with the help of few well developed apps. The data that is obtained is extremely crucial for different brands and companies. Through these studies one of the biggest studies on human behavior is conducted. This media scraping helps the organizations to understand what the customer is thinking and what the consumer’s attitude is towards a certain product or a topic.

Public Relations is a growing field within every organization and brand. It is the public relations office that helps in the publicity of the product manufactured by the company. It helps the organization or individual in creating a decent image that would nudge the public toward the organization or individual and their products. It generally uses various strategies in order to establish a friendly communication between the public and organization or individual and maintain that organization or individual’s image positive. It helps in the spreading of information and promotions of the coming up projects and products within the public sphere.


With each day the connection between media scraping and public relations is growing.


The different ways in which media scraping is useful for public relations are as follows –


1.  One of the key functions of the public relations is understanding, interpreting, and analyzing the wants, attitudes and opinions of the masses. The media scraping’s first function too is obtaining data that helps in the meticulous understanding of different human behaviors and attitudes. The data that is extracted reveals what the customer thinks about a certain topic. This information will help the public relation in analyzing the public behavior. Suppose the product is a lavender scented candle. The public relation department by making use of the data obtained by media scraping will be able to understand exactly what percentage of the public is in favor of lavender and how many of them use candles and how many love flowers. Thus the function of the public relation will become much easier.


2.   Media scraping’s data extraction also helps immensely in understanding the market. If a product is being launched then what is its demand in the market. The public relation department is also involved in the promoting of the products through the use of press and writing. By determining the market demand by media scraping the public relations will adequately be able to promote that product in the market.


3.  The above two explained functions are two main functions of the media scraping and public relations. Other functions are that the data helps in making content for the products easier, it also determines the current image of the organization or individual in the market.


For the success of an organization or individual the combined presence of media scraping and public relations is not only significant but absolutely essential and necessary.

Retail & Distribution Chain Monitoring




Retail and Distribution mean the purchase of goods in moderately small amounts for use or consumption. Retail and Distribution channel provides the pathway to travel from the producers to customers. Distribution channels depend on the number of mediators required to deliver a product or service. Retail and distribution chain monitoring is a fundamental element of the Supply Chain Management. Retail and Distribution chain is one of the important sectors to make rapid growth in the trade. Monitoring Retail and distribution chain help to understand the market, customer needs, and competition. This process of monitoring is done when the product for sale to the usual world. Data is collected and systematized to understand the pattern, trends, and brands and many other impacting factors. Conclusion obtained from the analysis rapidly consumed by regional and upper management to use in their vital and tactical decision to develop and sustain themselves in the market.

The Different Channel Of Retail & Distribution.


  • B2B (BUSINESS TO BUSINESS): This channel is between the business to business. For instance; any company producing mobile need many sensors and components. The deal for this between two companies is a channel for business to business trade.
  • B2C (BUSINESS TO CUSTOMER): channel between the business and the customer is known as B2C. For e.g. any mobile phones used by the customer is sold by the company to the customer/ consumer. Hence it is the channel between Business and customer.
  • B2G (BUSINESS TO GOVERNMENT): Under this channel, the door is open for trading between the government and business. The coal industry is one such example of this channel. B2G channel will give a great development for any country to become stable and developed.

Relation of data scraping with Retail & Distribution Chain Monitoring


Data scraping is always helpful where analysis of data is a need. Web scraping provides direct discernibly of data needed to succeed in the retail aspect. The Retail & Distribution Chain Monitoring by web scraping helps you recognize what’s happening at competitor’s tent and empowers you to equip strategy. This helps for the planning of the next strategy and action plan to execute and play the card of an organisation which will make an emperor strong by its roots. Data scraping helps to get data from multiple website data. When it is collected from the various different website and it will make data comparison efficient and planning of the strategy become more efficient in lesser time. Even data scraping save the time for the collection of the data. Market research is made easy when and multiple portal data will help the data authentication. This will open a big door and even the smaller blocked windows by the instant exploring of the current trending data. Hence it becomes easy to decide the deals of the company with regards to B2B, B2G, or B2C.

Goals of Financial Research and Analysis

Financial research or financial analysis is known as the course of assessing businesses, projects, budgets and other finance-related bodies to decide their performance and fitness. One can use financial analysis to check if the business or project or budget is stable or solvent or liquid or profitable enough to permit a monetary investment. On the other hand, Market research is the course of measuring the feasibility of a new good or service through research conducted directly with the consumer. Since this practice is done straight with the consumers, it helps the company to discover the target market and record direct inputs from the customers.


Goals of Financial Research and Analysis


Profitability – With the help of the income statement of the company, profitability can be measured.

Solvency & Liquidity – Based on the company’s balance sheet, its ability to maintain positive cash flow and its ability to pay its obligation can be calculated.

Stability – Besides the income statement and the balance sheet, other financial and non-financial indicators help find the ability of the company to remain in business in the long run.


Method of Financial Analysis


Comparing financial ratios like solvency, profitability, growth etc., past performance of the company is recorded. Extrapolating those values, the future performance can be foreseen and can be manipulated accordingly. Data scraping also helps in this when comparing between similar firms.


Goals of Market Research


Market research is a way of getting an impression of consumers’ wishes, needs and opinions. It can also involve discovering how they act.

Market research can guarantee the success of marketing campaigns, and in-turn sales. It can help the company keep a tab on the competitors. Market research can also help minimize loss in business.


Types of Market Research Information


Market research typically involves two types of data:

Primary information- the company itself or a third-party company does the research.

Secondary information- the data is already compiled by reports and studies by govt. agencies, trade associations etc. Data scraping helps in collecting the data.

Primary research can be done in a few ways like- direct mail, telephone or personal interviews.

In direct mail questionnaire, response is usually low. 3-5% is the usual response where in telephonic interviews success rate is higher. Speed and cost effectiveness are also advantages for telephonic interviews. However, personal interviews are the most effective form of marketing research. They can also be of two types: A group survey (used mostly by big business) and the in-depth review (one-on-one interviews).

In conclusion, we can say that financial and market research are both very important for a company. The ratios in financial analysis indicates how well the company is utilizing its equity investment. It is also important for small business owners to understand and use financial analysis because investors and outside analysts measure this for a company’s success. Marketing research is needed on a continual basis to keep up with the latest market trends and gain a competitive edge in the business market. Understanding market research and using it to advantage is vital in reaching out to the target audience and increasing the sales.

Reasons for Social Media Monitoring



Social media monitoring in the general sense refers to the method of utilizing of various devices to pay attention to what is the topic being discussed over the internet and monitoring and controlling media not only from the conventional publishers but on a million of different social networking sites. The practice of social media monitoring is at times also called or related to the terms social listening, buzz analysis, online analytics, social media intelligence, social media measurement or even social media management and the list can go on.

Reasons for Social Media Monitoring

Social media monitoring or social media analytics were previously applied in quintessential sector of companies such as the finance or retail industries who used social media monitoring and scraping to make sure to create brand awareness, improvement of customer services, marketing planning along with the detection and recognition’s of fraudulent. Apart from the mentioned reasons there are a few more causes which gets benefited through the social media monitoring which includes:

  • Measurement of Customer Sentiment

Social media monitoring helps an organisation to know about the position they hold in the social space and also gives a reality check. Through study of the social media one can assess the outlook of the customers regarding a particular product or topic and the viewpoint about the company as a whole by the measurement of their emotions, tone and context. Keeping a track of the customer reviews help the company to grow and maintain customer satisfaction, loyalty of the customers regarding the particular brands as well as their purpose of relation which would further help in the marketing of the campaigns at present and also in the future.

  • Segmentation of the Selected Market

The selected market refers to the bunch of customers which includes organisations, individuals or even households for which a particular company or organisation make designs, execute and preserve the mix of marketing procedures which suits the requirements and fondness of that particular bunch. Organisation and assessing the data-set of social media platform makes a person aware of when and to whom the marketing should be done regarding their services or products. Recognition of more suitable market field helps in the increment of the return on investment.

Monitoring of the online branding doesn’t only refer to paying attention to what the customers have to say regarding the particular products and services of the company but also keeping a check on the various competitors in the field, the press and print media monitoring along with the say of the key opinion leader of the industry. It is not only concerned about just the products of a company but also their customer service management procedure, social engagement, etc.

  • Recognition of Market Trends

Recognition of the various trends in the existing market is important to modify the business planning, keeping the business in the similar rate with the forthcoming changes in directions in the particular industry.

Other than the instinctive internet scraping devices, in the present times a lot of social media channels provide reimburse application program interface to its customers, research individuals, academia and particular organisations such as Facebook and Twitter in the social networking domain.

Media Scraping and monitoring for Broadcast Media




Media scraping is an extremely popular tool used primarily for the extraction of data from various social media sites as wells as blogs and news sites. The most important social media sites that are used for this very purpose are Facebook, twitter, Instagram, snapchat and LinkedIn. These are social media platforms where the majority of the public choose to share most of their private delights and opinions. Through numerous posts of different individuals in the public media scraping which is also known as social media scraping is able to derive data that ultimately aids in revealing and further understanding of various human behaviors, attitudes and habits. This particular information help to determine data about various consumption habit of the publics which helps organizations, individuals, media to understand how their content is being consumed, who are its most enthusiastic consumers and also they can improve their content.

Broadcast media is a group of media focused on producing entertaining as well as political and relevant contents. The success of broadcast media chiefly depends on audience reaction. What the audience thinks and wants influences the work of this group. Broadcast media traditionally includes television and radio but now also includes certain digital media platforms. The broadcast of different kinds of new totally depends on how the audience. For example the evenings are mostly reserved for the relaying of the most topical news and discussions around the world because that is the time when majority of the working population returns home and switches on the television or the radio. It also depends on who is watching what kind of content. Indian television serials mostly portray traditional Indian domestic scenes as housewives and old people are most likely to sit around the television and while away their time watching these contents.

Media scraping is extremely essential for the broadcast Medias.


The different ways in which media scraping monitors for the broadcast media are as follows –


  • The media scraping helps in determining the kind of content the audience is craving. By this the broadcast media is inspired to create content centering those topics. What the audience wants is crucial for the success and effect of the broadcast media.
  • The media scraping helps in assessing how satisfied the audience is with the present content. This aspect is also very important as this helps the broadcast company to understand the quality of content they are producing and how effective and impact they are.
  • Another crucial data that media scraping extracts is what the present content is lacking. This lack helps immensely in the determining of what more needs to be included in the future content.
  • The data also helps in understanding what kind of platform the audience prefers while consuming content – digital or traditional media
  • Media scraping also helps immensely in figuring on which days, at what part of those days a certain kind of content is likely to be consumed. Another crucial data that media scraping reveals is the amount of time the audience devotes to those contents.

The collaboration of media scraping and broadcast media is extremely crucial and critical.

Techniques of web scraping you should know




It’s a process of extraction of data from various websites. It’s a variant of data scraping. The data extracted is then used for analysis. Web scraping involves fetching a web page and then extracting the data from it. Web scraping is used to understand the trend of the market, to understand your competitors and their pricing and then get ahead of them. Web scrapers typically take something from webpage and then use it for other purposes. The data may be parsed, reformatted or put in a spreadsheet etc.

Techniques of web scraping

Web scraping is the process of automatically collecting information from the World Wide Web. Following are some of the best web scraping techniques that can be used for collecting information: –

  • Human copy and paste – Sometimes a better technology than any ever created. Usually websites don’t want their data to be scraped. For these sites, human touch can do the trick.
  • Text pattern matching – It’s a very simple yet powerful approach. It’s based on UNIX grep command or regular expression matching facilities of programming languages.
  • HTTP programming – HTTP requests can be posted to the web server to retrieve static and dynamic web pages.
  • HTML parsing – websites generally have a large collection of pages generated dynamically. Same category data are usually encoded into similar pages by a common script or template. To parse HTML pages, languages like HTQL and XQuery can be used.
  • Dom parsing – by embedding a full-fledged browser, programs can retrieve the dynamic content generated by client-side scripts.
  • Semantic annotation recognizing – the pages being scraped may embrace semantic mark-ups and annotations. These can be used to locate specific data snippets.


Web data scraping in modern times has advanced the internet usage, marketing and management to a whole new dimension. The job which demanded days can be finished within few seconds. Extensively used in marketing and artificial intelligence analysis it’s importance cannot be ignored.

Finance And Marketing Research




Web scraping is an efficient method for organizations to reduce the workload upon people involved in the analysis and study of data. It involves analysis, storage, and the organization of data regarding specific topics which is found by scanning through digital media and them downloading this information into directories that are stored on computers or in databases.

It is very useful for understanding and collecting financial data as this information would otherwise involve large amounts of research to identify. Financial activities include a number of avenues which can include large amounts of data, and a wide range of activities. Often, the financial activities of a single organization may be handled by a large number of people or units simultaneously. Data scraping makes it easier for the coordination and management of these activities, as well as to maintain clear and ordered records of all data.

Financial activities are one of the central processes which are associated with all organizations and are hence it is vital to have proper management. In terms of research, it is easy for organizations to gather relevant information using scraping. It can be used to understand current trends, reactions of consumers, and analyse what actions and decisions should be taken.


Marketing Practices


Marketing is another key area where organizations can benefit from data scraping. A lot of marketing practices are very dependent on how consumers react to certain actions and behaviors. Moreover, marketing practices are many and varied and there may be different activities which are appropriate for different groups of people. Data scraping can be used to consolidate information about various trends and demands which are found in the market and to use it to analyse how an organization should proceed with its marketing activities. It is even more important in the initial stages of the development of an organization because marketing plays a key role during launch periods. At such times, there is a large amount of research and data analysis which goes into planning their activities. These activities would be highly strenuous and time consuming If done manually. It can also help in greatly reducing the amount of time that must be put into consolidating and coordinating information between various sources. This is a key issue for a number of large organizations having numerous functions, and for organizations that are dependent on current market activities.

Research is in itself a very strenuous process which involves a large amount of attention and precision which is better achieved by using digital methods. Moreover, there are many sources and a large number of further links that may have relations to the same type of information. In these cases, financial and marketing related research can get very complicated and hard to keep track of for individual people. Scraping can greatly improve the quality and quantity of the research as well as help in the simultaneous categorizing and storing of this information. Finally, it is safe to say there is too much information and data relating to marketing and finance which may be needed for an organization and this research can be greatly simplified by using data scraping and related technology.

Data scraping: Jeopardy or bliss for compliance and risk management




Compliance and risk management


Compliance and risk management are closely associated with each other. To differentiate them there is a very thin borderline but, both the term protects the organisation from risk and helps to grow by guesti-mated risk to achieve the goal.” DATA scraping is the process of collecting data/ set of instruction from a website to your pc with a help of a local file. It widely also known as the web scraping OR screen scraping.  To associate compliance and risk management with screen scraping might be the jeopardy or bliss to a company.  The two sides of the coin can only be judged once you know the traits and objective of the company. How well research that web scraping is? Or how the source is reliable for that specific industry?  The biggest question which can come to anyone’s mind is that will taking a risk on this web scraping worth or not. Web scraping itself is already a long time taking the process to understand and learn.

In an organisation, risk factors work in every possible manner. Many big companies have different executive for study and research purpose for their market. Here, web scraping might be helpful to do research and collect the data from the various website. Data scraping will be very helpful to people or officials who can recognize the risk and its fragment for the market and an organisation

DATA scraping is an emerging technology which will help every industry inclined or dependent on data. Compliance and risk management is one of those fields where they have to depend on the data to stay in competition or to become a brand. And institutions need to be careful to not lump. However, understanding their similarities and realising how to align and allowing producing the gains from compliance and risk management being in sync. Compliance and risk management assist as a repository for all rules, regulations, and contracts with tracking and monitoring to study it market culture with help of data scraping. Estimating the truth of prospective data and market of an organisation helps to grow industry with a larger perimeter.  Data scraping with the authentication of data will help each and every industry. The analysis will be more easily executed and taken into consideration. Even the data security plays an important role in risk management and compliance.

Compliance and risk management is an important factor of a business to sustain it demands technology to increase operational values and trustworthy. Web scraping provides an intelligence eye to analysis in the field of compliance and risk management. This eye will help grow the business industry and get a better idea of tomorrow.

Competitive Pricing Intelligence


Competitive Pricing Intelligence Solutions recover product and pricing information from market leader websites including their competitors and change necessary details. It helps an E-commerce business remain one step ahead of the market competition. Pricing tools assemble and screen competitive data shifting it in to intelligence. They draw data at scheduled interval of time with automation – tracking competitor’s online presence. Pricing intelligence contains tracking, monitoring and analyzing pricing data to understand the market to make educated pricing changes at speed and scale. Since product pricing fluctuates randomly, retailers need to continually monitor their relative price position and include changes. However, this doesn’t mean dropping the price just because a competitor does.



Price Intelligence is necessary for retailers, for several key reasons:

  • Increased consumer price sensitivity.
  • Increased aggressiveness from competitors.
  • Increased price transparency.



There are a few steps to apply Competitive Price Intelligence.

The old-style model of monitoring price changes manually is inefficient, time consuming and often inaccurate. The vast amount of existing data makes it more difficult to scale. So, data collection needs to be scalable. As a company grows, its number of SKUs, channels and competitors to monitor grows with it. This is where automation comes in convenient, as the retailer won’t have to repeat those time-consuming and inefficient processes over and over again.  By automating competitive pricing analysis, retailers can obtain exact pricing data in a timely manner. This frees up valuable time and resources, eradicates potential human error, and delivers relevant and accurate information. Data Scraping software help in automating also.

Retailers can make quicker response and decisions depending on the data and outperform their competitors based on market trends and behaviors. Say for an emerging clothing brand, competing with big, established brands, any bit of intel is a big deal. It wants to know which of its competitors sell basic shirts, when, and with what offers and shipping options. Seeing this, the emerging cloth brand can offer something similar, or be more creative to persuade the consumers to buy the brand or make a switch.

Pricing intelligence is nothing without immediate action. If a retailer collects a heap of data about the price of sweaters in December, but analysts review the data in May, it is way too late. On one hand the prices are irrelevant five months later, and on the other hand, no one is going to buy sweaters in the middle of summer. Retailers need to act on data as and when the market changes, not six months later. If a retailer notices a spike in sweater sales in December, it needs to react at that time. It does not matter if it’s creating its own sale or sending out promo deals and coupons. The benefits of acting on more accurate data faster can mean an increase in sales and getting new customers.

So, it’s necessary to implement a dynamic pricing strategy that can swing based on the latest and greatest competitor visions. Retailers should use pricing intelligence to manage its relative price position in the competitive market, anticipate margin pressures, and boost revenue at the same time. If it doesn’t, it’s certain that its competitor will.

Data Scraping – Make the Best of Data




Data scraping or more preferably web scraping is extracting data from a website into a local file or spreadsheet on your computer. It is a method of importing information to a human-readable output. Data scraping also termed as Web Harvesting or Web Data Extraction is employed to extract a large chunk of data and save it to a database in spreadsheet format. It is most efficiently used to collect data from various websites. Even data scraping helps in channeling information from one website to another. Generally, data transfer from one program to another is totally computer-centric. No involvement of human interaction is required. Data scraping is generally considered, inelegant technique, often used only as a “last resort” when no other mechanism for data interchange is available. Data displayed by websites can only be seen using browsers. There are no functionality of the option for saving an offline version in your device. One has to manually copy and paste the data which is a very tedious and time-consuming job It can take days to extract data and import it to a local file in your device. To curb this problem and to make the process easier data scraping software is used. They perform the same task within a fraction of second. This web scraping software would automatically load and extract data from multiple sites depending upon your preference and requirements. Just one click away you can file and document the information directly from the websites. The basics for web scraping is relatively easy to master.

Popular uses of data scraping

Data scraping is used popularly to channel constructive data from website to another or from multiple websites to your local file on computer. Data scraping Popular uses of web data scraping includes

  • Research purposes- Generally when we intend to do research on a particular topic, this technology comes handy in analyzing and channeling data directly between various websites offering you the information as per requirement.
  • Comparing cost and price change monitoring – It is also used for travel booking of tickets in various price comparing sites.
  • Contact scraping- It is used to obtain access to customer’s email account for marketing purposes.
  • Sending product details from an e-commerce site to another online vendor.
  • Weather data comparison.
  • Gathering real estate listings.
  • Web data integration and web mashup.



Web scraping is process of automatically mining and extracting information from internet and document it. The field is actively developing. It ranges from fully automatic computerized programs to programs requiring human-computer interaction. Data scraping are structured on basis of- Human manual copy-and-paste, Text pattern matching, HTTP programming and parsing, computer vision webpage analysis and so on.


Dark side of Data Scraping

Despite having the positive views, data scraping technology gets abused by a small proportion. The most prevalent misuse being email harvesting leading to scamming and spamming of email addresses of the customers. There is an ongoing legal battle prevalent between the data scrappers and website developers.


Data scraping in modern times has advanced the internet usage, marketing and management to a whole new dimension. The job which demanded days can be finished within few seconds. Extensively used in marketing and artificial intelligence analysis it’s importance cannot be ignored.

Website Scraping – Extract Your Data


Website scraping, also known as Web Data Extraction, Web harvesting or Screen Scraping is the process of extracting large amounts of data from any given website, which is then stored locally in the local disk of the computer or in the form of a spreadsheet format. Data that is displayed by most websites can mainly be used for the purpose of viewing by consumers. These data are not open for copying on a large scale process locally. In such cases, one might be forced to copy the relevant data and simply paste in the computer file location. However, this is a tedious job as it takes up hours, days and even months, depending on the size of the date needed to be downloaded. This is where website scraping comes into the picture. Website scraping helps to automate this process of copying and pasting by loading and extracting the relevant data from many website pages at a single time, thereby saving man-hours and manpower.

The various techniques of Web Scraping

  1. Human copy paste – Some websites set up intricate barriers that do not allow Web Scraping to mine data from those websites. In such cases, human copy-pasting is the only method that comes in handy to get the desired data.
  2. Text Pattern Matching – The UNIX grep command or regular expression-matching facilities like Python offer simple methods of matching texts that have been set to be mined from the data, thereby facilitating easy web scraping.
  3. HTTP programming – In the case of static and dynamic websites, socket programming is used to post HTTP requests to the remote web servers to allow seamless data mining.

Benefits of Web Scraping

  1. Businesses require data on e-commerce websites to learn about the prices, discounts, and quality of products provided by them to get a better idea about their rivals and improve their own situation in the business market.
  2. Data mined regarding an individual or a company can be later used for statistical processes like analytics, comparisons and even investment decisions in the future.
  3. All websites depend on the choice of the consumers. The reputations of the websites depend on the liking of its users. So, by scraping data from the social media pages, the online website company can get a clear picture about its position in the market, what changes it must accomplish in order to satisfy customers and draw in new customers into the website.
  4. Online shopping mainly depends on past reviews. In order to catch fraudulent fake reviews that may affect the business in an adverse manner, web scraping comes into play to detect and locate such fake reviews.

Competitive And Pricing Intelligence

Pricing intelligence using data scraping

Price intelligence is also known as competitive price monitoring. It is the awareness about the market price and how it impacts the business. Modern techniques like data mining and data scraping are used to analyze the information. Price intelligence is useful as it gives information on increased consumer price sensitivity, increased competition among the competitors, and increased price transparency. Price scrapers or price bots provide pricing intelligence solutions. Price scraping is a technique used to lift off the pricing data from the e-commerce websites. Competitors use this data scraping technique to steal the dynamic data regarding the pricing. Many tools and technologies like cURL, HTTrack, Scrappy, Selenium, Wget, PhantonJS, and so on. The scrapers can also use third-party scrapers to target the data. They target multiple websites, pull the pricing, and catalog information and sell it to the competitors. Price intelligence has various advantages like optimization of pricing strategy, improvement of the in-store experience, boost pay-per-click, repricing etc. Scraping is done to analyze the website value of target and competitors and competitive edge.

The competitor can completely analyze the data provided by the data scraping technique and override the pricing strategy by undercutting the prices. An entrepreneur can achieve success by using the data scraping tool. The company can also many customers by reducing the price of their products or services, compared to the competitors.

But price scraping has its disadvantage. There is a huge drain of information from the websites. The companies that use data scraping techniques illegally must also deal with scrapers and competitors in the court.

Competitive intelligence using data scraping

Competitive intelligence is the process of defining, forming, analyzing, and distributing data and information about the products, customers, demand, competitors, and competition. This data would help the executives and managers in taking a strategic decision for the company. It is a legal business practice so, you need to worry about court and privacy case.

With the increase in technology and advancements, many companies have been established. Many budding start-ups are also coming into the play. If a company wants to stay on the top of the leader board, then it must use the technology. Data scraping is the latest technique used to extract data on and about different companies.  Web scraping is done to gain information on the competitors. Having data about your competitors would serve as a huge advantage.

Data scraping would give you all the information about the market and competitors.

Assessing the Data like a Data Scientist


What is data mining?

Today everyone is behind data; whoever has big data rules the world. Companies pay a hefty amount to data mining firms and data scientists to gain hold of data.

Like the name suggest this means digging of data, the process of extracting usable data from a large set of any raw data, it means analyzing a large chunk of data with the help of one or more software. The application of data mining can be executed in multiple fields, such as research and science.

Businesses can learn more about their customers and develop effective strategies to leverage resources in a more optimized manner. Data mining uses sophisticated algorithms to evaluate the probability of future events.

What data can do?

Since last decade there have been advances in the speed that enables us to move beyond the traditional and time-consuming practices to automate data

analysis. Complicated data have the potential to unravel relevant insights. The major consumers of these data are banks, manufacturers, retailers, and telecommunications providers.

The techniques to mine the data have become more sophisticated, because of data we’ve been looking ahead by mapping out patterns into the future. Data mining does not work by itself; it discovers hidden information in gathered data.

Data mining won’t give out all the Information; it discovers predictive relationships which are not necessarily causes of behavior. For example; data mining will determine that males with income of 30000-60000 who have certain subscriptions will buy a given product. This information will help companies to develop a targeted marketing strategy; however, data only will give the leads that a consumer might be interested in the product but it doesn’t say that they will buy the product because they belong to this population.

Which tools can be used to mine data?

There are several tools to mine data, some of them are open sourced and some are paid. Here are a few tools which can help in mining the necessary data.

  • Rapid Miner is one of the best and open source tools to predictive analysis, this tool can be used for a various range of applications including for business applications, research, machine learning, and commercial application.
  • Weka also known as Waikato Environment, this software is based on the freemium model. This can be used for data analysis and predictive modeling, this software contains algorithms which supports machine learning.
  • Sisense is licensed software. This is extremely useful and suited when it comes to internal reporting within the organization. This software helps in generating highly visual reports; these are specially designed for non-technical users.

Data mining solves few problems and will lead companies to their customers by analyzing data which are already in the database, but this also takes the right skills and tools to execute and get desired results.

The scope for finding the necessary findings will be ever greater, companies as long as they can figure out how to mine and execute it effectively. Businesses will be able to learn about their consumers, the tools will help to make business decisions with the gathered data.