Shulou(Shulou.com)06/02 Report--

In this issue, the editor will bring you about how Pandas crawled HTML web page forms and saved to Excel files with the help of Python crawler. The article is rich in content and analyzes and describes for you from a professional point of view. I hope you can get something after reading this article.

If there is a form in a HTML page, how can I climb it down?

The read_html of Pandas can easily parse the URL address or the table in the HTML code and convert it directly to dataframe for subsequent processing, analysis and export.

For example, there is such a case, I often use NetEase youdao dictionary to look up English words, often add new words to the word book, over time there are more and more words, I want to export these words to excel, how can I review or even print out to see.

However, NetEase's youdao dictionary does not have the function of exporting all word books.

Fortunately, I found this word page in the PC version of NetEase youdao:

Using this combination of technologies, I can simply crawl the entire web page, parse the table, and output it to an Excel file:

Python crawler, downloading web pages using requests, where the cookies parameter allows me to bypass login verification

Pandas's read_html can parse out the tables in the web page, and then use to_excel to save the results into an excel file.

The process goes like this:

And the final saved excel is the list of all the words I want:

Perfect partner for Python crawler + Pandas data parsing and processing

The above is the editor for you to share the Pandas how to use Python crawler to crawl the HTML web page form saved to the Excel file, if you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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