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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automate-data-extraction-and-web-scraping-using-python/
课程评论：没有评论
课程名称：使用Python自动化数据提取和网页抓取 课程概述：在当今竞争激烈的世界中，人人都在寻求创新和利用新技术的方法。网页抓取（也称为网页数据提取或数据抓取）为希望以自动化方式获取结构化网页数据的人提供了解决方案。当公共网站没有API可用时，或者API数据访问有限时，网页抓取尤其有用。网页抓取的过程是自动化地收集结构化网页数据，广泛应用于价格监控、价格情报、新闻监控、潜在客户生成和市场研究等领域。一般而言，网页数据提取被需要利用大量公开可得网页数据来辅助决策的个人和企业使用。 如果您曾经从一个网站复制并粘贴信息，那么您就以微观、手动的方式执行了与网页抓取相同的功能。与手动提取数据的乏味过程不同，网页抓取利用智能自动化从互联网上获取数百、数百万甚至数十亿的数据点。在本课程中，我们将使用Python及其模块Beautiful Soup来提取数据。
In today's competitive world everybody is looking for ways to innovate and make use of new technologies. Web scraping (also called web data extraction or data scraping) provides a solution for those who want to get access to structured web data in an automated fashion. Web scraping is useful if the public website you want to get data from doesn't have an API, or it does but provides only limited access to the data.Web scraping is the process of collecting structured web data in an automated fashion. It's also called web data extraction. Some of the main use cases of web scraping include price monitoring, price intelligence, news monitoring, lead generation, and market research among many others.In general, web data extraction is used by people and businesses who want to make use of the vast amount of publicly available web data to make smarter decisions.If you've ever copied and pasted information from a website, you've performed the same function as any web scraper, only on a microscopic, manual scale. Unlike the mundane, mind-numbing process of manually extracting data, web scraping uses intelligent automation to retrieve hundreds, millions, or even billions of data points from the internet's seemingly endless frontier. In this course we are going to extract data using Python and a Python module called Beautiful Soup.
