A "dynamic page" is a web page that displays different content depending on the context when it is accessed.
In recent years, due to innovations in information technology, many dynamic pages have come to be displayed on web pages and SNS. Along with this, attention is focused on maximizing the value of web pages by collecting and analyzing dynamic page data in real time.
There is a computer technique called "web scraping" that can help collect data on dynamic pages. Scraping dynamic pages in general requires programming skills. But is there any other way for those who have no programming experience?
Using the method introduced in this article, even those without programming skills can easily retrieve data from dynamic pages. In this article, we will explain in detail from the importance of dynamic website data, how to acquire dynamic data, and how to use it.
Why is dynamic data retrieval important?
By continuously monitoring data on dynamic web pages, you can collect vast amounts of data in a short amount of time so you can act faster. Here are some other specific benefits of retrieving dynamic data.
To realize speedy decision-making
Capturing dynamic data gives you real-time updates on your market and competitors. Leveraging such data can significantly reduce the time it takes to analyze results and factors. The result is data-driven insights that support faster, data-driven decision making.
Amazon founder Jeff Bezos said, ``Speed is important in business,'' and quick decision-making is essential for business growth. It is no exaggeration to say that the success or failure of a business depends on a system that constantly collects the latest data to support decision-making.
Enterprises need to continuously extract dynamic data and build extensive databases to improve the quality of data analysis.
This is because in the digital world, the amount of data continues to increase at an accelerating rate, and the value of the data itself is relatively declining. "Freshness" is especially important for data. As the amount of data increases year by year, there is a need to continue collecting and analyzing ever-changing data.
Short-term data collection is generally helpful in solving immediate problems and in making small decisions. On the other hand, long-term data collection can help you grasp future development trends and set long-term business goals. In this way, it is necessary to construct an appropriate database according to the issues of your company.
To establish an adaptive analytical system
The real purpose of data analysis is to build adaptive and independent data analysis systems. An adaptive analysis system automatically collects all dynamic data and enables continuous problem analysis based on it.
In particular, automatic collection reduces the time required to build analysis models each time, leading to more efficient human resources.
Specific examples of how dynamic data can drive business development
Acquiring and analyzing data from dynamic sites in real time is useful in many business situations and leads to promotion of business development. Here are some specific usage scenarios.
Product monitoring
Information such as product prices, descriptions, reviews and images are updated from time to time and are all available on our online marketplace. For example, you can easily conduct market research such as searching for product information on Amazon or scraping Google Maps .
By extracting this dynamic information, you can assess the competitiveness of your products and effectively develop strategies for pricing and inventory management. This is a reliable method of monitoring competitor behavior.
Customer experience management
Customer experience management is becoming more and more important for businesses. Gartner defines customer experience management as “customer satisfaction, loyalty, Efforts to improve support”.
For example, you can extract all reviews for an Amazon product and analyze positive and negative feedback to learn how your customers feel about the product in question. This helps you understand your customers' needs and understand their satisfaction in real time.
marketing strategy
Through analysis of dynamic data, you can understand which strategies have been most effective in the past, whether current marketing strategies are working well, or what improvements can be made.
Evaluate your marketing strategy in real time so you can quickly make adjustments and improvements accordingly.
How to get dynamic data?
Traditional manual copy-and-paste is no longer practical for real-time, continuous collection of dynamic data. A "web scraping tool" that anyone can easily automate data extraction is the best. Using a web scraping tool has the following advantages:
no coding required
No programming knowledge or skills are required to use the web scraping tool. This no-code web scraping tool allows anyone to easily extract dynamic data from websites by simply following the steps.
Compatible with any website
Dynamic websites have different structures such as HTML and JavaScript for each site. Even experienced programmers should study the site structure before writing scripts.
However, if you use a web scraping tool, the scraping task will be executed according to the structure of each site, so you can easily extract data from different sites and save a lot of scraping time.
Book scraping work
Web scraping tools allow you to schedule extraction tasks if you need regular data extraction. For example, if you set a schedule such as date, day of the week, and time in advance, data will be extracted automatically according to the schedule.
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