3 Major Differences Between Web Scraping and Web Crawling

3 Major Differences Between
Web Scrapping and Web Crawling

Shahabudin K
Content Creator

5 min read | October 8, 2021


           There are 3 Major differences between web scraping & web crawling, which many organizations misunderstand almost all the time. Web Scraping and Web crawling are two terms that are often used interchangeably in the Big data industry. This is a common perception that most of the users or enablers have in general. However, there are some major differences between web crawling and web scrapping. Further, these differences  will give you a clear idea about  both the terms. Let us walk through the article to understand the 3 major differences between web scraping and web crawling. 

Understanding the Terminologies:

Web Crawling:

                  Web Crawling is a Process by which, a specialized bot often called a “Spider”, crawls over numerous websites and URLs. Further, it spots the relevant content and then gathers the crawled URLs and Websites. Meaning, the crawled content is now kept in a particular place for the user to access it easily. This process is commonly known as Indexing. Often internet sites like Google, Yahoo, Bing are search engines that make utmost use of this service to bring relevant content to the User’s Intent. 

Web Scrapping:

           Web Scraping is a process in which you can gather data from any source. Be it a website, or an excel sheet with a trillion-attribute data. Thus, from a process perspective, Web Scraping is more of a contextualized process when compared to Web crawling. This is because using Web Scrapping you can extract data under a particular topic.  Like extracting the costs of a certain product or reviews of certain products and similar examples as well. 

Requirements for the Process(Web Scraping and Web Crawling):

In the case of Web Crawling,
  • To crawl across multiple websites within a short span, you must build a system with a Versatile architecture. This system must be able to crawl amidst changes in the websites.
  • One should keep in mind not to harm the target websites. So, it is mandatory to design a crawler that acts in a polite manner.

  • Being Language neutral is a considerable expectation from the audience side, which can help businesses target websites all around the globe in multiple languages. 

  • A good crawler over multiple sites and help  compress  the collected links and data, to enhance storage demands making the system more efficient in the overall process. 
In the case of Web Scrapping,
  • Since, scrapping scenarios are illegal in certain use cases, it is highly important to design a framework that is clearly ethical as possible.

  • Being ready with Proper APIs of websites, which can help recover data from websites. 
  • To carry out a perfect scrapping scenario, make sure that you have the apt third-party HTML libraries. These Libraries helps in sending HTTP requests to the URLs of the target website.

  • Parsing of data from the extracted HTML format, making it easier to organize data in the demanded format. 

Business Use Cases for Web Scraping and Web Crawling:

Web Crawling Use cases include:

  1. Monitoring News content across various media platforms.
  2. Lead Generation (Getting contact details of Potential Clients) 
  3. Competitor Research (Example: Price Monitoring) 
  4. MonitoringYour Distributors

Web Scrapping Use cases include:

  1. Predictive analysis, wherein the process harvests data across multiple pages of websites, to get a clear-cut prediction. 
  2. Insurance Companies make use of web scraping, to analyze risks before introducing a new policy to provide the best outcome of their offerings. 
  3. Marketing Research teams of various companies make use of Web Scraping to get data from multiple websites by defining the requirements to understand the market space much better. 
  4. Recruitment Companies collects job postings from various websites to provide the required Job opportunities to Job Seekers with the help of Web Scraping. 


               Therefore, Web Crawling and Web scraping are two sides of the same coin, where at times you find the concepts & the outputs to be much similar. However, from this blog, we hope you have understood some of the major differences between Web Crawling and Web Scrapping. If you are a business looking forward to Web Crawling or Web Scraping, help us understand your requirements by fixing a time when you are free for a discussion. We will help you by delivering results that will be beyond your expectations, as our global clients say. 

For more details visit us at : BeezLabs

Check out our latest blog post on RPA tools and its productivity.


Digital Transformation for the Chemical Industry

Digital Transformation for the Chemical Industry

Shahabudin K
Content Creator

5 min read | Apr 27, 2021

The need for digital transformation:


               Digital Transformation in the chemical industry can help reap growth and innovation simultaneously.  Hence, it is important for chemical industries to understand this modernized solution. Consequently, this helps business make effective impact on its return on investment.

 Further, digital transformation could help chemical industries make effective usage of human resources by enabling Automation

               Firstly, the growth oriented chemical industry must be ready to adapt new changes. Moreover, adapting and adopting changes can help a chemical business to be at high par with digital transformation.

Digital transformation for Chemical Industries:


                  Chemical industries serves a large range of business-to-business and business-to-consumer communities. Therefore, handling business processes becomes a challenge.

For Instance, specialty chemicals satisfy both b2b & b2c sectors. Ultimately, specialty chemical industries are required to record the business process that happens.  Subsequently, these records can help run business effectively.

So, here is where digital transformation comes into action. Consequently, chemical industries go for an ERP system to manage their day-to-day business activities. 

As a result, around 60-70% of the manufacturing industries use SAP. But how can it be implemented effectively? How to differentiate your business growth from the others? 

Overcoming a challenge that the industry commonly face can help you rank above in this business.

        In brief, the main challenge of Adopting SAP is the manual tasks that happens in SAP. This requires huge manpower & high infrastructure costs.


With the advent of Automation and AI, industries started adopting RPA automation to reduce manual effort.



However, Conventional Automation finds it difficult to adapt changes offered by SAP. Therefore, Industries must adopt an Automation which is versatile enough. 


“Modernized ERP Automation is the Key”

Versatile digital transformation for Chemical Industries:

    “Reduce complexity through Standardization”

Most chemical industries fall into the traps of Automation that happens outside SAP. Ultimately, leading to the raise in infrastructure costs & number of SAP licenses. 

 However, to avoid complications chemical industries must adapt to modernized ERP automation . Selecting a Versatile ERP Automation services can  give a perfect fit for business.

           We Beez Innovation Labs are helping chemical industries adopt to Modernized ERP Automation on a global level. 

In conclusion, adapting to changes and using a versatile tool that business demands is the key to success.


Check out our blog to know more about “Modernized ERP Automation


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Understanding Deep Tech Startups

Understanding Deep Tech Startups

Shahabudin K
Content Creator

5 min read | Apr 22, 2021

Quick Introduction:

                            Deep tech startups are the companies which use a unique set of protocols and revolutionary technology which sets them apart from the rest of the startups. The term “Deep tech” was first coined by Swati Chatruvedi, Founder/CEO of Propel(x).

Footprints of Deep tech:

                                    Deep tech involves fields with respect   to Artificial Intelligence, Machine Learning, Robotics, Automation, Blockchain etc., As all these terms suggests, it is evident that with these varied technologies the sectors requiring immediate revival can be made more efficient, if deep tech is in action.

The Antonym of Deep Tech:

                              Shallow Tech which acts as a strong opposite of Deep tech involves reusability of the existing technologies. Meaning, it involves the same old  model of activation and productivity. On the contrary, Some famous companies like Uber follow a business model which runs on shallow tech. Above all, From a business point of view any strategy can be followed for success in the market if it works out well. But giving a deep tech touch makes a business remarkable and will serve as a reference model for upcoming businesses.

How can Deep tech startups help revive the Indian Economy?

                                Intelligent Automation supporting huge business enterprises help in scaling up productivity. Eventually, this increased domestic production will scale up the GDP as well. Above all, growing startups can adapt to deep tech involving AI, Automation, which will lead to the effective usage of resources. However, adoption of Deep tech might seem tough in the short run, whereas it proves to be more productive in the long run.

What does it take for an organization to adopt deep tech?

                                   For an organization to adopt deep-tech, Firstly, must be ready to learn and implement change management. Further, With change management comes the mindset of adapting to new tech in the market, then comes digital transformation. Also, Startups helping other start-ups will throw light on how technology is leveraging business. Further, this will turn the eyes of giant corporates towards these startups, turning everything into a profitable business opportunity.

Now, What is your take on Deep tech? Are you a Startup owner? If “yes”, what deep tech factor have you used in your organization? Let us know in the comments.

Check out our Latest Articles on Automation and AI.

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Balancing your Balance sheets with Artificial Intelligence and Machine Learning

Balancing your Balance sheets with AI and ML

Content Creator

5 min read | Apr 15, 2021

Balance sheets:

A company’s current fiscal strength, valuation, IPO releases, the attraction of Investors, and almost everything depends on its Balance Sheet. How? Years-long, balance sheets have been a key for understanding the income, expenses, SKU numbers, interest rates, asset values of a company.

As time passed, the modern world started requiring Modernized solutions like AI and ML, for a quick prediction of the future expenses, a short prediction of how a company can cut down interest rates, the level to which assets can be monetized in the long run, etc., These are a very few modern expectations arising from the business world when it comes to balance sheets.

With the evolution of Automation and AI, these predictions proved to be effective to a maximum level. However no system is 100% efficient, that is why a prediction is happening instead of accurate outputs. Now let us see some of the important aspects in a balance sheet where ML and AI can help.

An increase in the income structure, optimization of Operation costs, bringing down expenses are some of the must achieve targets in any balance sheet. One target in which businesses fail is ” Repayment of Debts” with “Interest”. Can AI help you pay the interest and debt amounts? No. But AI can help you in predicting the range of interest rates that your company will reach within a particular period, which can prove helpful for your finance manager to understand at what rates debts can be settled to free the balance sheet from interest rates and making the debt rates come down to zero.

Interest Rates over debts:

“When a gift is deserved, it is not a gift but a payment”

An increase in the income structure, optimization of Operation costs, bringing down expenses are some of the must achieve targets in any balance sheet. One target in which businesses fail is ” Repayment of Debts” with “Interest”. Can AI help you pay the interest and debt amounts? No. But AI can help you in predicting the range of interest rates that your company will reach within a particular period, which can prove helpful for your finance manager to understand at what rates debts can be settled to free the balance sheet from interest rates and making the debt rates come down to zero.

Revenue Forecasting in balance sheets:

                Revenue in business terms is the expenditure added to income in the balance sheet. You might find this definition a common one, but the results which we are going to get out of this simple formula are vast. Meaning, Revenue of a company decide almost every aspect of the budget in the upcoming financial year.     

              What if AI can do this prediction for you, for example, say for the next 5 financial years, Insane right? It can do even more. In basic aspects of financial management, we can predict the estimated revenue and other terms by using Financial ratios.

               Ratios can give you a certain level of output, but still, it is manual & time-consuming too. If you want to stay ahead of time and also make your company adapt to modern trends then you can bring AI into the picture, training an AI model with numerous balance sheets of all models and sizes with different data can help predict for the upcoming years, this will help your CFO and stakeholders where to concentrate more so that they can increase their revenue.

Failure of CAPEX:

“Money is always eager and ready to work for anyone ready to employ it”


                 The smartness of a business persona is making money work for you. Meaning, the expenditure which you had made on your capital assets, must yield a good percentage of ROI. The source of money for spending on your CAPEX depends on various sources, what if all these go wrong? You get hit by a strong debt, which will eventually lead to the failure of the assets, increasing the depreciation value of the assets which in turn will lead to bankruptcy at a certain point.

                 So how can AI/ML can help in this scenario? Again prediction modeling comes into the picture, your AI model can help analyze how much the depreciation cost might hit after a few years or the next year too, it can also help you understand whether investing in a particular asset is worth it or not. Which can help you preplan your monetary allocation on CAPEX saving your company from numerous pain points.


                    AI & ML are aspects that can help you give a predictive analysis to make your company prepared to face challenges. Any system isn’t 100% efficient, AI is no different from this. But the results will prove sufficient enough to take care of your challenges and over a while, this can skyrocket to any percent level for that matter, meaning the sufficient results given by AI can increase the strength of your balance sheet year on year.

Hope this helps. Now, tell us in which financial aspect you think AI can help you resolve your challenges.

Check out our Latest Articles to know more on AI and Automation to stay updated.

Check out our latest Product Release that exactly meets your business requirements.

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“Why is your RPA tool not able to scale your productivity?”

Why is your RPA tool not able to scale your productivity?

Content Creator

6 min read | Jan 20, 2021

RPA tool not able to scale productivity


        Intelligent Automation in the recent past is losing its core meaning. However, companies providing automation services end up providing either RPA or AI or Analytics. Yet this is the same old method  giving no value to the term “Intelligent Automation” and businesses. Further Industries must understand the difference between conventional RPA tools and Intelligent RPA tools. 

Therefore, the key factor defining intelligent automation is the integration of RPA and AI and Analytics. Further, we will discuss how traditional RPA is outdated and the components of an upgraded modern intelligent automation platform. 

Why traditional RPA fail to scale Business?

      Briefly, the functions of RPA from past times include automating tasks, which are mundane. Thus, making employees work for tasks which requires more human concern. However, Automation tools focus on traditional RPA services just to automate fractional tasks and not an entire business process.  


          Above all, If you are looking forward to scaling your business, firstly you should have a modernized vision about automation . In fact, in this COVID pandemic, organizations must bring in modern methods that could scale their entire business. 


Automating small tasks is a short-term achievement. However, in a competitive business environment, enterprises should target long-term achievements . Therefore, organizations must scale their overall business process with modernized automation. 

How can traditional RPA deteriorate the productivity of your Enterprise?

Effectiveness and efficiency are the two strongest factors for productivity. However, automation companies like UiPath and Automation Anywhere continue to offer effectiveness but lag in providing efficiency. On the contrary, with digital transformation in the lead, traditional RPA services are slightly off the race. Thus, Effectiveness should come along with efficiency.  


  Similarly, dumping in automation technology just for the sake of automating a particular task will distort the entire process in the long run. Further, it would also involve high costs in production and maintenance. Therefore, effectiveness without efficiency is like an LED bulb which increases your electricity bill rather than decreasing it. 

Modernizing RPA starts when your organization focuses on change management:

Firstly, for implementing Intelligent automation for your business you must adapt to change management. Now, Why is it important? When your company is ready to adapt to rapid changes, your company will be successful in the market amidst any era. Further, When it comes to digital transformation you should be ready to show a change that differentiates you from the rest.  


        Moreover, modernizing RPA involves the integration of RPA, AI, and Analytics. Consequently this makes it sufficient to automate an end-to-end business process without any disruption. Thus, this is the change that will make your organization scale ahead of your competition. 

Only 13% of RPA adopters use it productively, you are one among them, if your automation platform has the following features: 

An Orchestrator Engine:

    A successful digital transformation requires both automation and orchestration. Similarly, automation helps remove manual tasks that bog down your customer experience. On the other hand, orchestration brings them all of the moving parts together into a well-oiled, systematic engine. Working hand in hand, your company can realize significant benefits.


  • Cost savings: Armed with a full understanding of each process in your system, you can lower IT & Infrastructure costs. Further, Staff no longer needs to fix a single issue across multiple processes but has the visibility needed to fix one instance. Thus, the powerhouse pair of orchestration and automation also enables your systems to dynamically scale. Ultimately, you are only paying for the resources you’re consuming. 
  • More tightly regulated processes: Human errors are likely to crop up if updates are done individually for all apps or processes within a business suite. Above all, with everything under a single umbrella, you can enact mass policies that quickly trickle down to every automation within your system. 
  • Increased agility: Businesses constantly push to increase their time-to-market. Automation and orchestration open up a new market of cloud tools where you can handpick. 


In addition, when all of these comes with business standards like BPMN 2.0 and DMN 1.1,  it makes this a truly enterprise standard.

Automation Agents:

Automation Agents are native applications that run on edge systems. They build the ladder to success by helping optimize your infrastructure costs, causing lesser SOX disruptions, and smoothing change management.


1.   Cross-Platform Agent

        Firstly, An OS-Agnostic agent that can provide the most demanded service in the market – “Desktop less Automation”, ultimately reducing the buying cost of new desktops and virtual machines. As this agent automates backend processes via API it makes it possible to give you a desktop-less environment by which you can optimize your resources.  

 2. RPA Agent 

     Secondly, the core agent for any RPA platform is the RPA agent. When it comes to an intelligent automation platform, it can work with any RPA tool in the market, be it UiPath, Automation Anywhere, Blue prism, etc. This RPA agent can perform Front-end Automations connecting with fellow automation tools.  


Is that all? No, we have another surprise package for you if you are into SAP. Understanding the importance of edge applications and the future value of backend automation, we have developed an additional agent. Moreover, this will provide end-to-end automation for your SAP ERP, with a vibrant and a user prompting experience.


3. SAP Agent

Thirdly, to make it loud and clear for you, Automation of SAP Process is no more outside SAP. The Native ABAP Framework based Tulip SAP Agent makes now build, maintain and Run Robots for SAP process within SAP. #SAP ECC Above 7.0 #SOH #S/4 On-Premise & Private Cloud



Combining Automation Agent with capabilities for AI gives an additional edge for digital transformation in enterprises  

A Digital Assistant

      In this digital era, chat-bots are becoming a common and exclusive space that lets you enquire about a product. Further it helps in user  support as well. In addition, Intelligent automation platforms let you initiate the process in form of text messages. Ultimately, this is a breakthrough in the field of automation while automating an end-to-end process.  

Image Classification Models:

   In brief, a modernized intelligent automation platform lets you build intelligent components like OCR, NLP, CV, AI/ML, bots, and also allows you to use your domain-specific language.  

Along with all of these, a Next-Gen User Experience will enable end-users to have complete transparency on the overall execution. Thus, allowing them to make manual intervention from anywhere and any device. This makes the Automation Platform cutting edge.


    This means that if a user is experiencing an issue, it must be visible for the user to check & should not need to rely on the technical team which will reduce the dependency and the reliance on the IT support team.


What is the use? 


Consequently, a vibrant user experience increases the user’s morale which indirectly increases productivity. 


We will go through a clear explanation of the workflows, tasks, the control towers, defining modernized RPA automation.


Further, a modernized Intelligent Automation Platform allows business users to perform the following tasks: 


Automation Request:  

        The automation should be triggered by the business user/the end-users where the user can get complete visibility of the automation which will be a new age self-service for the users. Instead of initiating requests from a native tool, make sure that you can initiate directly from your daily applications like Microsoft Teams.


User Task:  

     Manual Interventions are important, the tool should provide a next-age solution where you can approve user tasks anywhere from any device with modernized user interaction. 

    Say, from your daily business applications like Microsoft Teams & mobile apps. From where you can perform tasks like approving a blocked sales order because of various credit history reasons so that the order can go through. Users can provide inputs in the form of attachment, text, or table for the next level approver to take action.


Rule Maintenance:

          Users, automation admins & business users should be able to maintain business rules specific to the automation process so that they do not need to depend on IT, and they are self-empowered to manage automation processes.  


Role-based control towers:  

      Continuing the legacy of single view control towers, it provides you with control towers for every role of automation, like DevOps Lead, End Users, technical Users, Automation Admin 


The question that arises now is “Is there a tool with the above-mentioned power-packed features?” the answer is a big “YES”. 


We from BeezLabs with our pioneering team have engineered the best and futuristic intelligent automation platform – “TULIP”. With “TULIP” we can guarantee you an ever-versatile automation experience for your business.

  Above all , we being times ahead in user experience, we offer you to manage processes in TULIP via Microsoft teams, iOS & Android apps, even on the web too. All of these include a hybrid deployment strategy: On-Premise, BeezLabs Cloud, and Private Cloud.  

“Change is the only constant, and we are innovating that too”.

Many Global giants have started experiencing the change driven by TULIP. If you want your company to experience this new vibe, 

you can book an appointment to know more.

You can also write to us at [email protected] to know more.


Don’t forget to checkout our latest blog on “Digital Transformation for the Chemical Industry”

Further, we will get back to you with the collaterals and a demo request to make you feel the difference we are making.