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所在平台: Udemy |
课程主页: https://www.udemy.com/course/web-scraping-extracting-price-data-for-market-research/
课程评论：没有评论
课程名称：网页抓取：市场研究价格数据提取 课程概述：欢迎参加《网页抓取：市场研究价格数据提取》课程。本课程为项目驱动型学习，您将深入学习网页抓取技术，从多个网站提取和收集各种数据，并将其以结构化格式保存，整齐地存储在电子表格或自己的数据库中。此外，本课程包含两个项目，您将逐步引导完成高效的网页抓取、数据提取和收集工作。第一个项目是对亚马逊市场网站进行网页抓取，以提取与价格和其他产品规格相关的所有数据，作为进行市场研究的数据源。第二个项目也类似，您将逐步学习如何在房地产网站上进行网页抓取，提取与价格和其他物业规格相关的数据，以进行房地产市场研究。 在网页抓取过程中，我们将使用Python编程语言及多个Python库，例如Beautiful Soup、Scrapy和Selenium。课程结束时，您还将学习几种不同的方法来变现您的网页抓取技能，以及与网页抓取相关的潜在商业模型。 首先，在进入课程和项目之前，我们需要思考一个问题：为什么要学习网页抓取？尽管有很多理由，最重要的一点是，网页抓取使您能够快速高效地从多个不同网站或来源提取和收集数据，同时为数据提供结构化的存储方式。因此，网页抓取被认为是进行各种产品市场研究的强大工具，包括日常商品、食品或房地产等。 最后，对于那些对自己的Python编程技能不太自信的人，您不必担心，因为本课程还包括一个基础Python培训环节，帮助您掌握必要的技能和知识，以便于进入实际项目。 基础Python培训环节中将学习的内容包括： - Python中的不同数据类型（字符串、整数、浮点数和布尔值） - Python中的函数及参数 - Python中的Requests库 - Python中的Beautiful Soup库 项目中将学习的内容包括： - 在亚马逊网站上进行网页抓取 - 在Zillow网站上进行网页抓取 - 将数据转换并下载为CSV文件 - 使用JSON格式化数据 - 使用ChatGPT自动化网页抓取 - 网页抓取的变现策略和潜在商业模型 - 使用Beautiful Soup和Gradio构建网页抓取工具 - 使用Browse AI抓取房地产数据 通过本课程，您将获得全面的网页抓取技能，为市场研究提供有价值的数据支持。
Welcome to Web Scraping: Extracting Price Data for Market Research course. This is basically a project based course where you will extensively learn how to do web scraping, extracting and collecting various data from several different websites and save them in a structured format, organised and neat in spreadsheet or perhaps your own database. In addition, this course also comes with two projects where you will be fully guided step by step to perform web scraping, extracting and collecting data from websites efficiently. The first project is to perform web scraping on Amazon marketplace website to extract and collect all data related to price and other product specifications as the data source for conducting market research. Meanwhile, the second project is also similar to the first project, where you will be guided step by step on how to perform web scraping on real estate websites to extract and collect data related to price and other property specifications as the data source for conducting real estate market research. To perform the web scraping, we are going to use the Python programming language alongside several Python libraries for web scraping, for example Beautiful Soup, Scrapy, and Selenium. At the end of the course, you will also learn several different ways to monetise your expertise in web scraping as well as potential business models related to web scraping that you can start.First of all, before getting into the course and the projects, we need to ask ourselves this question, why should we learn web scraping? well , even though there are many reasons why you should learn this useful technique, the one that is the most important among other reasons is the fact that web scraping enables you to extract and collect data from multiple different websites or sources quickly and efficiently, web scraping even allows you to save all the data in a structured format. Hence, web scraping has always been considered as one of the most powerful tools to conduct market research for many different types of products, starting from daily goods, foods, or even real estate. Lastly, for those of you who might not be very confident with your Python programming skills, there is nothing you should be worried about since this course also comes with a basic Python training session where you will be prepared with all skills and knowledge that you need to master before getting into the actual project.Things you are going to learn in basic Python training session:Different data types in Python (string, integer, float, and boolean)Function and parameters in PythonRequests library in PythonBeautiful Soup library in PythonThings you are going to learn in the projects:Performing web scraping on Amazon websitePerforming web scraping on Zillow websiteConverting and downloading data as CSV fileData formatting with JSONAutomating web scraping with ChatGPTStrategies to monetise web scraping and potential business models related to web scrapingLearn how to build web scraping tool with Beautiful Soup & GradioLearn how scrape real estate data with Browse AI
