有时候，当没有像可访问的API这样的选项时，抓取是提取有意义的数据的唯一方法。如果您不习惯可以帮助您更快，更有效地进行分析的现有工具，那么解析原始HTML可能会令人生畏并且充满失败。在本视频中，学习所有基础知识，包括一些高级技术，这些技术可以使用Python中的Scrapy库解析HTML和提取数据。
h264, yuv420p, 1920×1080 | ENGLISH, 44100 Hz, 2channels | 0h 59mn | 956.4 MB
Sometimes scraping is the only way to extract meaningful data when there are no options like an accessible API. Parsing raw HTML can be intimidating and full of failures if you aren’t used to existing tooling that can help you parse faster and more efficiently. In this video, learn all the basics including some advanced techniques to parse HTML and extract data with the Scrapy library in Python. k
Topics include:
* Install, configure, and create a new project with Scrapy, a powerful scraping library written in Python
* See what is required to start parsing a website, including looking at raw HTML, tags, and CSS.
* Identify data to create a dataset or datasets to perform data science analysis later
* Capture parsed data and save it in different formats locally
* Ultra fast scraping techniques by using the filesystem directly
A few resources that are helpful if you are trying to do scraping, some of them covered in the course:
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