How to remove HTML tags using Python regular expressions

HTML (HyperText Markup Language) is a standard language for creating Web pages. It uses tags and attributes to describe various elements on the page, such as text, images, tables, links, etc. However, when processing HTML text, it is difficult to quickly extract the text content for subsequent processing. At this time, we can use regular expressions in Python to remove HTML tags to quickly extract plain text.

In Python, the regular expression module is re. When removing HTML tags, we can use the re.sub() function to replace the HTML tags with spaces or other characters to obtain plain text content. The following are the specific implementation steps:

1. Get the HTML text content
First, we need to read the HTML text content from the web page or other files. Assuming that we have stored the HTML file in a folder and know its path, we can use the file operation functions open(), read(), and close() in Python to read the contents of the HTML file.

# 打开文件并读取HTML文本内容
file_path = 'path/to/html/file.html'
with open(file_path, 'r') as f:
    html_text = f.read()

2. Build a regular expression pattern
We need to first build a regular expression pattern to match all HTML tags and their contents. The following is a simple pattern:

pattern = r'<[^>]+>'

In this pattern, "19c12d7143a41b96917190ce894cdf80" closing mark. Therefore, the entire pattern removes everything between a pair of angle brackets, including the angle brackets themselves. However, this model still has some limitations. For example, it cannot handle nested tags or comments, and needs to be modified or upgraded as needed.

3. Use regular expressions to replace
Next, we can use the re.sub() function to apply the regular expression pattern to the HTML text to complete tag replacement. Currently, we choose to replace all tags with spaces, which preserves formatting information such as spaces and line breaks in the text content.

import re

# HTML标签替换为空格
pattern = r'<[^>]+>'
text_without_html = re.sub(pattern, ' ', html_text)

This code will replace all matching HTML tags with a space, and ultimately obtain a string containing only plain text content.

4. Further process the text content
If you need to further process the text content, such as removing extra spaces, punctuation marks or other meaningless characters, we can use the string manipulation functions in Python for processing. Here are some examples:

# 去除多余空格
text_without_html = re.sub(r's+', ' ', text_without_html)

# 去除标点符号
import string
text_without_html = ''.join([c for c in text_without_html if c not in string.punctuation])

These codes will use the re.sub() function and string manipulation functions in Python to remove excess spaces and punctuation marks, thereby obtaining purer text content.

Summary:
Using regular expressions in Python can easily remove tags from HTML text and extract the plain text content. However, attention needs to be paid to the construction and application of regular expression patterns to handle different HTML text situations.

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