strip-tags 0.4

Strip tags from HTML, optionally from areas identified by CSS selectors

strip-tags

Strip tags from HTML, optionally from areas identified by CSS selectors

See llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs for more on this project.

Installation

Install this tool using pip:

pip install strip-tags

Usage

Pipe content into this tool to strip tags from it:

cat input.html | strip-tags > output.txt

Or pass a filename:

strip-tags -i input.html > output.txt

To run against just specific areas identified by CSS selectors:

strip-tags '.content' -i input.html > output.txt

This can be called with multiple selectors:

cat input.html | strip-tags '.content' '.sidebar' > output.txt

To return just the first element on the page that matches one of the selectors, use --first:

cat input.html | strip-tags .content --first > output.txt

To minify whitespace - reducing multiple space and tab characters to a single space, and multiple newlines and spaces to a maximum of two newlines - add -m or --minify:

cat input.html | strip-tags -m > output.txt

You can also run this command using python -m like this:

python -m strip_tags --help

Keeping the markup for specified tags

When passing content to a language model, it can sometimes be useful to leave in a subset of HTML tags - <h1>This is the heading</h1> for example - to provide extra hints to the model.

The -t/--keep-tag option can be passed multiple times to specify tags that should be kept.

This example looks at the <header> section of https://datasette.io/ and keeps the tags around the list items and <h1> elements:

curl -s https://datasette.io/ | strip-tags header -t h1 -t li
```html
<li>Uses</li>
<li>Documentation Docs</li>
<li>Tutorials</li>
<li>Examples</li>
<li>Plugins</li>
<li>Tools</li>
<li>News</li>
<h1>
    Datasette
</h1>
Find stories in data

All attributes will be removed from the tags, except for the id= and class= attribute since those may provide further useful hints to the language model.

The href attribute on links, the alt attribute on images and the name and value attributes on meta tags are kept as well.

You can also specify a bundle of tags. For example, strip-tags -t hs will keep the tag markup for all levels of headings.

The following bundles can be used:

• -t hs: <h1>, <h2>, <h3>, <h4>, <h5>, <h6>
• -t metadata: <title>, <meta>
• -t structure: <header>, <section>, <main>, <aside>, <footer>, <article>, <nav>

As a Python library

You can use strip-tags from Python code too. The function signature looks like this:

def strip_tags(
    input: str,
    selectors: Optional[Iterable[str]] = None,
    *,
    minify: bool = False,
    first: bool = False,
    keep_tags: Optional[Iterable[str]] = None,
    all_attrs: bool = False,
) -> str:

Here's an example:

from strip_tags import strip_tags

html = """
<div>
<h1>This has tags</h1>

<p>And whitespace too</p>
</div>
Ignore this bit.
"""
stripped = strip_tags(html, ["div"], minify=True)
print(stripped)

Development

To contribute to this tool, first checkout the code. Then create a new virtual environment:

cd strip-tags
python -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest