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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-ultimate-web-scraping-with-python-bootcamp/
课程评论：没有评论
课程名称：2024年终极Python网络爬虫训练营 概述：欢迎参加终极Python网络爬虫训练营，这是一门从零基础到熟练掌握网络爬虫的课程。网络爬虫是指通过编程方式自动提取网页数据的过程。爬虫代理访问网络资源，提取内容并处理数据，以解析特定信息。网络爬虫是一种能迅速反馈的编程技能，可以用于自动化多种数据收集和处理任务。在接下来的17小时以上的课程中，我们将系统性地讲解编写Python网络爬虫所需了解的一切。本课程分为三个难度逐渐递增的部分，旨在帮助您逐步建立技能。 第一部分 - 入门 我们将从理解网络的工作原理入手，深入探讨现代网页的关键通信协议HTTP。接着，从基础开始学习HTML、CSS和JavaScript，更深入地理解网站的构建。最后，我们将学习如何使用Python发送HTTP请求，并解析返回的HTML、CSS和JavaScript，以提取所需数据。目标是建立扎实的网络爬虫和Python基础，并通过从零开始构建功能性爬虫进行实践。主要内容包括：请求-响应周期的详细概述、用户代理和HTTP方法、请求头和状态的理解、防止付费墙的自定义请求头、掌握requests库的使用、无状态的含义及Cookie的工作原理、代理在现代网络架构中的作用以及BeautifulSoup解析和数据提取的掌握。 第二部分 - 深化 在本课程的第二部分中，我们将在已有基础的基础上探索更高级的网络爬虫主题。我们将学习如何刮取使用JavaScript动态渲染内容的网站，设置Microsoft Playwright作为无头浏览器以自动化此过程。我们还将学习如何识别和模拟API调用，从没有正式公开API的网站提取数据。项目包括：可以根据关键词下载高分辨率图像的图像爬虫，以及从动态渲染网站提取折扣视频游戏价格和内容的另一个爬虫代理。内容包括：识别和使用隐藏API及其优点、轻松模拟请求头、Cookie和请求体、使用Postman和HTTPie自动生成的Python代码、使用高性能的Selectolax解析库、掌握CSS选择器以及引入Microsoft Playwright进行无头浏览和动态渲染。 第三部分 - 精通 在课程的最后部分，我们将介绍Scrapy，这是一个建立更复杂和强大网络爬虫的优秀成熟框架。我们将学习如何在虚拟环境中设置Scrapy，并创建爬虫和数据管道，从网站中提取各种格式的数据。在学习Scrapy之后，我们将探讨如何将其与Playwright集成，以在Scrapy中处理动态网站的爬取挑战。最后，我们将构建一个在返回结果HTML给Scrapy之前执行自定义JavaScript代码的爬虫代理。部分内容包括：学习如何设置Scrapy和探索其命令行接口、动态探索Scrapy Shell中的响应对象、理解和定义项模式、使用ItemLoader和输入/输出处理器加载数据、将Playwright整合进Scrapy、编写PageMethods为无头浏览器提供特定指令以及定义自定义管道以保存到SQL数据库和高度自定义的输出格式。 在这个训练营中，我将通过生动的在线视频讲座一步一步带您学习一切，帮助您开始在Python中进行网络爬虫的旅程。到课程结束时，您将掌握构思和实现各种网站爬虫代理的完整工具集。期待您的加入！
Welcome to the Ultimate Web Scraping With Python Bootcamp, the only course you need to go from a complete beginner in python to a very competent web scraper.Web scraping is the process of programmatically extracting data from the web. Scraping agents visit a web resource, extract content from it, and then process the resulting data in order to parse some specific information of interest. Scraping is the kind of programming skill that offers immediate feedback, and can be used to automate a wide variety of data collection and processing tasks.Over the next 17+ hours, we will methodically cover everything you need to know to write web scraping agents in python. This bootcamp is organized in three parts of increasing difficulty designed to help you progressively build your skill.Part I - BeginWe'll start by understanding how the web works by taking a closer look at HTTP, the key application layer communication protocol of the modern web. Next, we'll explore HTML, CSS, and JavaScript from first principles to get a deeper understanding of how website are built. Finally, we'll learn how to use python to send HTTP requests and parse the resulting HTML, CSS, and JavaScript to extract the data we need. Our goal in the first part of the course is to build a solid foundation in both web scraping and python, and put those skills to practice by building functional web scrapers from scratch. Selected topics include:a detailed overview the request-response cycleunderstanding user-agents, HTTP verbs, headers and statusesunderstanding why custom headers can often be used to bypass paywallsmastering the requests library to work with HTTP in pythonwhat stateless means and how cookies workexploring the role of proxies in modern web architecturesmastering beautifulsoup for parsing and data extractionPart II - RefineIn the second part of the course, we'll build on the foundation we've already laid to explore more advanced topics in web scraping. We'll learn how to scrape dynamic websites that use JavaScript to render their content, by setting up Microsoft Playwright as a headless browser to automate this process. We'll also learn how to identify and emulate API calls to scrape data from websites that don't have formally public APIs. Our projects in this section will include an image scraper that can download a set number of high-resolution images given some keyword, as well as another scraping agent that extracts price and content of discounted video games from a dynamically rendered website. Topics include:identifying and using hidden APIs and understanding the benefits they offeremulating headers, cookies, and body content with easeautomatically generating python code from intercepted API requests using postman and httpieworking with the highly performant selectolax parsing librarymastering CSS selectors introducing Microsoft Playwright for headless browsing and dynamic rendering Part III - MasterIn the final part of the course, we'll introduce scrapy. This will give us an excellent, time-tested framework for building more complex and robust web scrapers. We'll learn how to set up scrapy within a virtual environment and how to create spiders and pipelines to extract data from websites in a variety of formats. Having learned how to use scrapy, we'll then explore how to integrate it with Playwright so that we tackle the challenge of scraping dynamic websites from right within scrapy. We'll conclude this section by building a scraping agent that executes custom JavaScript code before returning the resulting HTML to scrapy. Some topics from this section:learning how to set up scrapy and explore its command line interface ("the scrapy tool")dynamically explore response objects using scrapy shellunderstand and define item schemas and load data using itemloaders and input/output processorsintegrate Playwright into scrapy to tackle dynamically rendered JavaScript siteswrite PageMethods to specify highly specific instructions to the headless browser from right within scrapy define custom pipelines for saving into SQL databases and highly customized output formatsIn this bootcamp, I will take you step-by-step through engaging video lectures and teach you everything you need to know to get started with web scraping in python. By the end of this course, you will have a complete toolset to conceptualize and implement scraping agents for any website you can imagine.See you inside!
