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This article shows you how to extract data through BeautifulSoup in Python. The content is concise and easy to understand. It will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

Steps:

1. Use pycharm to create a new project. Check "Inherit global site-packages" when creating a new project, otherwise the requests class library may not be found.

2. Write the code, and we see that the amount of data on the web page is 101 lines, as follows:

The code is as follows:

Project structure (not important):

Program code:

BeautifulSoup can transform HTML documents into Tag trees. If the BeautifulSoup object is soup, we can get the first td element in the page through soup.td and all td elements through soup.find_all ('td'). That is, what find_all () returns is an array element, so we can get the corresponding content by subscript, as follows:

We can see that the subscript of the name of the first patent is 7, the second is 13, the third is 19, and so on, so we can achieve the effect by getting it at intervals.

The code is as follows, and remember to get the text attribute at last, otherwise you will get the content of XXX:

Running effect:

The above is how to extract data through BeautifulSoup in Python. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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