What is web scraping? Web Scraping definition

Today’s world is fully data-driven. The information now seems to be the new gold. Businesses are seeking to possess the vast ocean of data available on the internet to gain a competitive advantage with the hand of data and insights coming from them. The most powerful tool that unlocks the potential of data available on the web is “Web Scraping.” In this article, we’ll try to develop web scraping definition.

In this article, we dive deep into the world of web scraping, exploring what it is, how it works, and the remarkable ways it empowers businesses and professionals across industries. Whether you’re an experienced data evangelist or new to the concept, this comprehensive guide will demystify web scraping and show you the possibilities coming from using it.

Web Scraping definition

Web scraping is an automated way of getting data that are available on the websites. This technique is designed for extracting specified data from websites across the internet. It allows getting needed data fast and in a fully automatic way.

You can think about web scraping as of the robot that navigates the internet, visiting websites, and gathering specific data points as per the defined criteria. The data downloaded can be in various types, including text, images, links, pricing details, customer reviews, social media interactions, and much more. By automating the data collection process, web scraping enables users to save time, so much time that normally would have been committed to manual data downloading. 

Web scraping is simulating behavior of user’s browsing the web, making HTTP requests, receiving server responses. When a user browse the website, it’s browser job to parse HTML, CSS and JS code and show website content the way that creator want it. During automated web scraping, the source code is parsed programmatically in order to extract only data that’s needed. 

While simple web scraping can be achieved using libraries and tools, more complex scenarios may require the expertise of professionals to handle dynamic websites, handle CAPTCHAs, and overcome anti-scraping measures.

Web scraping has become an obligatory tool in today’s data-driven world. The benefits in decision-making, market analysis, competitive research, and trend prediction coming from having real world data are enormous. With the potential to unlock a wealth of information from any website on the internet, web scraping has positioned itself as an essential resource for businesses for gaining a competitive edge and staying ahead.

How Web Scraping Works Behind the Scenes

After we’ve provided you with web scraping definition, it’s good to know how it works behind the scenes.

To understand how web scraping works, you need to understand how the Internet works.

In a nutshell, the Internet is based on client-server communication. The communication is done via HTTP protocol that handles all the magic under the hood of the Internet. 

It’s often the case that client wants to access a specific page (e.g. ScrapingZone.com). The client is performing an HTTP GET request using his browser to the server that is hosting the requested site. If the request was proper and the site is there (and there is), the server returns the RESPONSE containing all the source code that allows the browser to show the website.

Web scraping uses the same HTTP flow. The process of web scraping begins with a web scraper – a specialized software program designed to navigate the internet. This software using a library designed for dealing with HTTP Protocol sends HTTP requests to specific URLs, much like a web browser, to access the desired web pages. The target web server responds to these requests by providing the requested page’s code.

After receiving all necessary data, the process of parsing data is starting. The parsing is done with special techniques designed for traversing HTML tree-like structure in order to find specific information. After all necessary information are extracted. They are exported into database. 

Types of data: Static vs Dynamic

Web scraping can be performed in two ways: static and dynamic scraping. 

Static scraping involves retrieving data from web pages with fixed HTML structures, where the data is readily available within the page’s source code. 

Dynamic scraping requires usage of a real browser that will enable the bot to render JavaScript code as well as make additional data-fetching requests. Dynamic websites are nowadays extremely popular because of JS frameworks’ popularity increase. 

Benefits and Advantages of Web Scraping Services

Using web scraping in business projects may bring a lot of benefits and advantages. As the demand for data-driven decision-making is significantly growing, web scraping services stand as a catalyst for growth, offering a lot of advantages to users across diverse industries.


The most important reason why you should consider using automatic web scraping rather than manual is time and resource effectiveness. Well-designed web scraping is remarkably effective, allowing its beneficiaries to get access to data really fast and in a convenient way. Web scraping process can be easily parallelized, which can speed up the extraction even more. 

Data accuracy 

One of the most significant benefits of web scraping services is the data accuracy and completeness. Web scrapers are designed to extract data directly from the source, eliminating the risk of manual errors and ensuring data precision. Well-designed web scraping software is capable of doing few rounds of data quality assurance, what makes extracted data extremely reliable. 

Automated recurring scraping

It’s often the case that data have to be scraped periodically (e.g. once a day, once per week etc.). The most handy way to do this is to use automated web scraping. With robotic web scraper the data can be downloaded as often as needed, assuring the same data structure as well as way of exploring the site. Such approach allows creating reliable time series, insights for comparison etc. 

Let’s assume you want to have a time-series of prices of specific products. We can design a web scraper that will get that information every single day, and at the end of the month we will provide you with a graph showing how the price has changed throughout the period.


Web scraping services are designed to be flexible and customizable, making them applicable to various data requirements across different industries. Whether businesses seek to gather product details, financial data, social media information, web scraping services are here to use. This customizable approach allows companies to use the full potential of web data.

Business insights

With web scraping usage, companies can discovery market trends, identify customer preferences, and gain valuable insights into their competitors’ strategies. Armed with this knowledge, businesses upgrade their marketing strategies, optimize product pricing, and identify potential areas for expansion.

Not only data extraction 

Ultimately, the benefits of web scraping services extend far beyond data extraction. They empower businesses to make data-driven decisions, develop a deeper understanding of their markets and identify opportunities for growth and optimization. By claiming the power of web scraping services, companies can unlock the true potential of data and transform it into actionable intelligence and success in today’s data-centric world.


In conclusion, web scraping is a powerful and transformative technique that plays an important role in the modern data-driven landscape. As we have explored in this article, the web scraping definition encompasses the targeted and precise extraction of data from web pages. Through the skillful parsing and interpretation of website structures and network , web scraping unlocks valuable information, ranging from product details and pricing to customer reviews and market trends. This data-driven approach empowers businesses, researchers, and individuals to make informed decisions, gain competitive insights, and stay ahead in their respective industries. Embracing the essence of web scraping, practitioners can harness the wealth of information available on the internet, unleashing its potential for innovation, growth, and strategic decision-making.

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