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Скачать или смотреть How to Find normalthread Items in HTML Source Using Python

  • vlogize
  • 2025-10-10
  • 0
How to Find normalthread Items in HTML Source Using Python
How to find tags that combine letters symbol and numbers from HTML sources?pythonweb scraping
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Описание к видео How to Find normalthread Items in HTML Source Using Python

Learn how to extract `normalthread` items with letters, symbols, and numbers from HTML sources using Python's BeautifulSoup and web scraping techniques.
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This video is based on the question https://stackoverflow.com/q/68419319/ asked by the user 'Peters7' ( https://stackoverflow.com/u/15115239/ ) and on the answer https://stackoverflow.com/a/68419671/ provided by the user 'Andrej Kesely' ( https://stackoverflow.com/u/10035985/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to find tags that combine letters, symbol and numbers from HTML sources?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Extracting normalthread Items from HTML Using Python

When working with HTML data, you may sometimes need to extract specific entries based on certain criteria. In this post, we’ll address a common scenario: how to find tags that combine letters, symbols, and numbers specifically for items that follow a naming convention like normalthread_ in an HTML source.

Understanding the Problem

Suppose you have an HTML structure with numerous <tbody> tags, some of which contain the identifier normalthread_, while others contain stickthread_. Your goal is to filter and obtain only the normalthread_ tags. Here’s an example of the HTML data you’re dealing with:

[[See Video to Reveal this Text or Code Snippet]]

In this data set, we want to selectively find only those items whose IDs begin with normalthread_ and contain a combination of numbers at the end.

Solution Overview

To solve this problem, we’ll use a Python library called BeautifulSoup, which allows us to scrape and parse HTML data easily. Specifically, we'll be looking for all <tbody> tags that have IDs starting with normalthread_. We will use a CSS selector to make this process straightforward.

Key Steps in the Solution

Setting Up Your Environment: Ensure you have the necessary packages installed in your Python environment. You can install BeautifulSoup using pip if you haven't already:

[[See Video to Reveal this Text or Code Snippet]]

Parsing the HTML Document: Load the HTML content into BeautifulSoup for parsing.

Extracting the normalthread IDs: Use a CSS selector to gather all <tbody> elements with IDs starting with normalthread_.

Output the Results: Print or utilize the IDs as per your requirements.

Sample Code

Here’s how you can implement the solution using BeautifulSoup:

[[See Video to Reveal this Text or Code Snippet]]

Expected Output

Running the code above will yield the following output, listing all normalthread IDs:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By leveraging BeautifulSoup's CSS selection capabilities, you can efficiently extract tags that match specific patterns, such as those that start with normalthread_. This method is simple yet powerful for any web scraping project that involves parsing HTML data.

Feel free to experiment with more complex selectors to refine your results further or to adapt this approach for other web scraping needs. Happy coding!

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