Screen scraping is a technique used to extract data directly from the display interface, which can include texts, .doc files, UI elements, screenshots, media content, and recordings of user sessions. This method is primarily used in marketing to gather data for monitoring and analyzing reviews, market prices, advertising verification, and competitor analysis in e-commerce.
This technology can be executed manually or automated. Typically, the term "scraping" refers to the automated gathering of information, enabling the rapid processing of large volumes of data through specialized bots.
The primary benefits of scraping include:
Screen scraping emerged as a solution for transferring information from legacy systems, especially when updating software solutions was not feasible. By using screen scraping, data can be extracted from old systems and transferred to new ones.
Screen scraping is employed when data cannot be harvested using conventional web scraping techniques due to the specific characteristics of a website or application. Scenarios where screen scraping is particularly effective include:
However, it is crucial to acknowledge that screen scraping is not a one-size-fits-all solution for data collection and differs significantly from standard web scraping. Therefore, integrating both methods can often be more effective than using them individually.
First, the technologies differ in the type of data they can extract. Web scraping tools are designed to scrape websites and can capture URLs, text, videos, and images, often using just a simple online web scraper. In contrast, screen scraping tools are only capable of capturing data that appears on screen as it is displayed in websites, documents, and applications, including text, charts, graphs, and images.
Below is a comparison table outlining the main differences between screen scraping and web scraping:
Feature | Web scraping | Screen scraping |
Type of data collected | Structured data from websites such as text, links, images, and product prices | Both structured and unstructured data are available only through a visual interface |
Data source | Websites | Applications, web pages, PDF documents |
Data collection methods | Downloading the HTML code of the webpage and parsing it with tools like BeautifulSoup or Scrapy in Python | Analyzing displayed information on the screen, often using tools to automate browser interactions or capture screenshots |
Use cases | Data collection for analytics, price monitoring, product comparison, and information extraction for database creation | Automation of interactions with applications and physical data sources on web pages not designed for data extraction |
Speed of execution | High speed, especially when making parallel requests to servers | Generally slower due to the need for initiating actions such as page loading, data entry |
Data extraction often involves automated processes, and websites may restrict such activity on their pages. Using a proxy during screen scraping can provide several benefits:
There are several types of proxies available for use: server-based, mobile, and residential. Server-based proxies are faster but often face more frequent access restrictions on websites. Mobile and residential proxies typically offer better protection from blocking, making them more reliable for certain applications.
In today's technology landscape, data collection is a crucial process that can drive business growth. Screen scraping, when paired with proxy servers, becomes a potent tool that enhances security and effectiveness.
It's important to distinguish between screen scraping and web scraping, as they collect different types of information. Nonetheless, businesses can leverage both technologies concurrently to maximize the benefits of data extraction and boost the efficiency of their operations.
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