Implementation of data parsing technology using neural network and web driver

Abstract

As a rule, data parsing is used to quickly obtain information from various web resources for further study and use. For parsing, you can use both specialized online services and desktop applications. Unfortunately, existing parsing technologies have some limitations. For example, it is often difficult to parse dynamic web pages and classify information obtained through parsing. New approaches are needed in implementing data collection and analysis - using language models and software (web driver) that simulate human actions when working with websites. The web driver assists in accessing data from dynamically updated sites, while artificial intelligence technologies help correctly recognize and classify data. This technology can be used to create parsers for real estate agencies, employment services, university admission committees, advertising campaigns, and financial organizations.