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所在平台: Udemy |
课程主页: https://www.udemy.com/course/web-scraping-using-node-js-and-selenium-with-projects/
课程评论：没有评论
课程名称：2019年完整网络爬虫课程（附项目） 概述：网络爬虫是数据科学的一种技术，用于从网站收集或存储有用的公共信息，以适合的格式（如电子表格）保存，以便后续使用。它能够自动化数据采集，避免手动复制的麻烦。数据提取通过编写称为“爬虫”的代码从网站进行，这些爬虫接受网页URL，解析该网站的HTML DOM，并返回结果，我们可以将其保存为CSV格式以供未来使用。我们提取的数据可以包括文本、图片、软件包名称及其对应价格、视频以及联系信息（如电子邮件、姓名、电话号码等）。 该课程使用NODEJS开发，NODEJS因其轻量、高效、可扩展而受到青睐，尤其是其非阻塞I/O和事件驱动的特性。NODE的主要优势是异步性质，这意味着您无需等待一个请求完成才能发起下一个请求，从而提供了高性能的解决方案。课程内容以简单易懂的方式呈现，即使是对NODEJS没有任何知识的人也能轻松理解并构建自己的爬虫。 我们会使用Selenium，作为一种自动化测试工具，提供与HTML DOM进行交互的各种元素和方法，以解析网站。课程分为三个部分：环境设置、构建模块和语法、项目部分。在项目部分中，将涵盖三个项目：2018年谷歌翻译项目、2019年谷歌翻译项目、旅游保险网站项目。 附加内容包括：从CSV文件读取数据、如何将抓取的数据保存为新CSV文件、如何应用验证。本课程提供30天退款保证，如果课程未能达到您的期望，您可以立即获得全额退款。此外，我会优先回答您的所有问题。如果您想通过构建项目来学习网络爬虫并开始您的职业生涯，请立即参加本课程。 注意：需要基本的HTML知识和编程知识，但不需要具备NODEJS知识。
Web scraping is the Data Science technique of gathering or storing useful and public information from websites in a suitable format like spreadsheets that can be used later for any purpose. It basically removes the burden of copying the data manually, instead it provides an automated way to do it. The data extraction is done from websites using some sort of a code written called "scraper" which takes the a Web URL, parses the HTML DOM of that site and then return the result which we can save in some format say CSV for future use. The data that we parse can be in form of texts, images, package names and their corresponding prices, videos and contact information like email, name, phone numbers and so on.This course is built in NODEJS that is light weight, efficient, and scale-able due to its non-blocking I/O and event driven. The main advantage of node is that its asynchronous in nature which means that you don't have to wait for a request to complete before making another one which in turn provides a very high performance. This course is made in so much easy way so that one who doesn't have any knowledge of NODEJS can easily understand and hence build own scraper in NODEJS. We are using Selenium which is automation testing tool that provides various elements and methods to interact with HTML DOM in order to parse the website. This course is divided into 3 partsSetting up the environment Building Blocks and SyntaxProjectsIn the Project Section course will cover 3 Projects Google Translate 2018 ProjectGoogle Translate 2019 ProjectTravel Insurance Website ProjectBonuses:Reading Data from CSV FileHow to Save scraped Data into New CSV fileHow to apply ValidationsThis course offers you a 30 Days Money Back Guarantee, in case if the course does not meet your expectations you can get a full re-fund immediately. Also i will answer all of your questions on top priority. Now if you want to learn Web Scraping by building projects and start your professional career, Take this course nowNote:Basic HTML Knowledge required.Basic Programming Knowledge required.No Knowledge of NodeJS required.
