标题： 用于高效网络爬虫的自动化网络应用程序的开发：设计与实现 显示英文标题

标题： Development of an Automated Web Application for Efficient Web Scraping: Design and Implementation

摘要： 本文介绍了用户友好的自动化网络应用的设计和实现，该应用简化并优化了非技术用户的网络爬取过程。 该应用程序将复杂的网络爬取任务分解为三个主要阶段：获取、提取和执行。 在获取阶段，应用程序使用HTTP协议访问目标网站，利用requests库检索HTML内容。 在提取阶段，应用程序使用强大的解析库如BeautifulSoup和正则表达式，从HTML中提取相关数据。 最后，在执行阶段，应用程序将数据结构化为可访问的格式，如CSV，确保爬取的内容组织良好以便于使用。 为了提供个性化和安全的体验，该应用程序包含用户注册和登录功能，由MongoDB支持，用于存储用户数据和爬取历史。 该工具使用Flask框架部署，为网络爬取提供了可扩展且稳健的环境。 用户可以轻松输入网站URL，定义数据提取参数，并以简化的格式下载数据，而无需技术专长。 这种自动化工具不仅提高了网络爬取的效率，还通过赋予所有技术水平的用户收集和管理定制数据的能力，使数据提取更加普及。 本文详细描述的方法代表了在网络爬取工具的可访问性、效率和易用性方面的重要进展，使更广泛的受众受益。 显示英文摘要

摘要： This paper presents the design and implementation of a user-friendly, automated web application that simplifies and optimizes the web scraping process for non-technical users. The application breaks down the complex task of web scraping into three main stages: fetching, extraction, and execution. In the fetching stage, the application accesses target websites using the HTTP protocol, leveraging the requests library to retrieve HTML content. The extraction stage utilizes powerful parsing libraries like BeautifulSoup and regular expressions to extract relevant data from the HTML. Finally, the execution stage structures the data into accessible formats, such as CSV, ensuring the scraped content is organized for easy use. To provide personalized and secure experiences, the application includes user registration and login functionalities, supported by MongoDB, which stores user data and scraping history. Deployed using the Flask framework, the tool offers a scalable, robust environment for web scraping. Users can easily input website URLs, define data extraction parameters, and download the data in a simplified format, without needing technical expertise. This automated tool not only enhances the efficiency of web scraping but also democratizes access to data extraction by empowering users of all technical levels to gather and manage data tailored to their needs. The methodology detailed in this paper represents a significant advancement in making web scraping tools accessible, efficient, and easy to use for a broader audience.