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所在平台: Udemy |
课程主页: https://www.udemy.com/course/scraping-google-search-results/
课程评论：没有评论
课程名称：从谷歌搜索结果中抓取数据 课程概述：大家好！如果你正在寻找一种快速有效的方式来收集谷歌搜索数据，那么你来对地方了。在本课程中，我将向你展示如何使用Python和谷歌云平台（GCP）从谷歌搜索结果中抓取网页URL。通过GCP，你将获得一套强大的工具，以自定义你的数据收集。这是从搜索中收集数据最快和最有效的方法。此外，这也为你探索Python和GCP提供了许多其他项目的机会，比如抓取和收集图像。本课程中的代码可以扩展，我已经将其上传到GitHub，并将继续更新。 如果你在网上搜索“如何抓取谷歌搜索结果”，你可能不会找到类似的指南，或者使用相同方法的指导。这是我个人努力寻找的一种方法，但很少找到简单明了的指南。因此，希望你能在这里找到你所寻找的东西。此方法的应用几乎是无限的，但大多数人可能是希望通过自动化这个过程来节省时间。我们的目标就是自动化整个过程：访问谷歌搜索引擎，输入搜索词，找到最相关的URL并将其保存到文件中。这项过程可以在不到一秒钟的时间内完成。我们可以利用Python读取和写入CSV文件的能力，向谷歌提供一个包含搜索词的CSV，并获取最相关的结果，然后将结果附加到新的CSV文件中。 课程标志是使用LogoMakr创建的。
Hello everyone!If you came here looking for a fast and efficient solution to collecting data from a Google search, then you came to the right place. In this course, I will show you how to use Python and Google Cloud Platform(GCP) to grab web URLs from Google search results. By utilizing the GCP, you are given a robust set of tools to customize your collection. This is guaranteed to be the fastest and most fruitful way to collect data from your searches. This will also open up the door for many other opportunities to explore Python and GCP to take on future projects, such as scraping and collecting images. The code in this course can be expanded upon, and I have uploaded it to gitHub as well, and will continue to update it in the future. Now.. if you search the internet for "how to scrape google search results", it is unlikely that you will find a guide like this one, or even a method utilizing the same approach. This was something that I personally has been trying to figure out for a long time, and I have been unable to find any straightforward guides on this method, so I hope you came here and finally found what you are looking for.The applications for this are limitless, but most people will probably be doing this because they want to save time by automating this process. Essentially, that is what we are doing here: we are automating the process of going to the Google search engine, typing in a search term, finding the most relevant URL, and saving that to a file. This is a process that can do all of that in less that a second. We can utilize Python's ability to read and write to CSV files in order to 'feed' Google a CSV with our search terms, get the most relevant result, and then append the results to a new CSV file. Logo created with LogoMakr
