Web scraping: What it is and how companies can use it
Web scraping is the process of automatically extracting and systematizing data from websites, allowing organizations to collect large volumes of information from the Internet. This information makes it possible to create new data sets that can be analyzed and used for various purposes.
Some organizations may use web scraping, for example, to monitor competitor websites or social media platforms to gain insights into consumer behavior and market trends. Others may use it to extract data from online product catalogs, review sites, and job listings to improve their offerings or services.
Additionally, this method can be used to collect information from online forums and news sites to better understand customer opinions and needs. Overall, web scraping is a powerful approach that can help companies achieve their business goals by providing access to valuable data that would otherwise be difficult or impossible to obtain.
What Makes Web Scraping Valuable for Businesses
Currently, the Internet provides a never-ending stream of constantly updated information that can be overwhelming, as people are not accustomed to receiving new information at such high speed. People need time to accept news, process it, analyze it, and make further decisions based on it.
Nevertheless, digitalization has revolutionized the market and opened up new areas for research. Without the Internet or social media, people cannot even imagine doing business. This is partly because technology has become such an integral part of our lives. Everything works faster and better, but it may be too fast for us to comprehend. Web scraping allows companies to extract information at nearly the same speed as new data is generated.
How to Get Started with Web Scraping
Companies often wonder what is better: to outsource web scraping or to build an in-house solution. It is not as simple as it may seem. To answer this question, a fairly thorough review is needed, including an understanding of both legal and technical aspects of the work. Here, for example, are several important questions that companies should analyze at the start of their data acquisition journey:
- Are there any government regulations that might prohibit the use of external data for your industry?
- Does your company have a policy that forbids sharing certain information, even for data enrichment?
- Is your approach to data collection unique and could it be considered a trade secret?
Once you have answers to the above questions, you can move on to considering technical questions, such as:
- Is this a one-time project or do you need data on a regular basis?
- What is more of a priority for you: scaling the project or maintaining it at a certain level?
- Would owning this product be considered a competitive advantage?
After everything is clarified, weigh the possible pros and cons of working with an in-house team versus outsourcing. But to start building your own solution, you will need at least software engineers, testers, quality assurance specialists, researchers, and a project manager. When time is limited, it is often impossible to allocate all necessary resources. However, when outsourcing, you cannot be sure that you will get the same data as when doing the project in-house, which requires additional clarification.
The most important question to ask is not whether to outsource or keep the work in-house, but what is the best solution for the specific project at this moment?
Instead of going bottom-up, try doing it top-down: Start by imagining what the final product should look like, and find the best possible solution for you. Then test viable options, consulting both your team and professional service providers. Either way, based on the answers you get, it should become clear which direction to take next.
Final Thoughts
When it comes to data, there is never enough. But focusing on the real application of data is still important, otherwise you can get lost in contradictory conclusions, making decision-making even more difficult.
Remember that regardless of what web scraping is used for—analyzing competitor behavior, tracking market trends, or improving products and services—companies should keep in mind that it is an important technology that helps businesses stay competitive and succeed in today's digital world.