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## Python3.x Python Spider - BeautifulSoup Python Spider (Web Scraping) refers to the process of automatically extracting information from the internet by writing Python programs. The basic process of a spider usually includes sending HTTP requests to get web page content, parsing the web page and extracting data, and then storing the data. Python's rich ecosystem makes it a popular language for developing spiders, especially due to its powerful library support. Generally, the spider process can be divided into the following steps: * **Send HTTP Request**: Spiders get HTML pages from target websites through HTTP requests, commonly used libraries include `requests`. * **Parse HTML Content**: After obtaining HTML pages, spiders need to parse the content and extract data, commonly used libraries include `BeautifulSoup`, `lxml`, `Scrapy`, etc. * **Extract Data**: Extract required data by locating HTML elements (such as tags, attributes, class names, etc.). * **Store Data**: Store the extracted data in databases, CSV files, JSON files, etc. for later use or analysis. This chapter mainly introduces BeautifulSoup, which is a Python library for parsing HTML and XML documents, capable of extracting data from web pages, and is commonly used for web scraping and data mining. !(#) * * * BeautifulSoup is a Python library for extracting data from web pages, especially suitable for parsing HTML and XML files. BeautifulSoup provides a simple API to extract and manipulate web page content, making it very suitable for web scraping and data extraction tasks. ### Install