HTML to Text

Use this skill when you have HTML - a scraped page, a newsletter body, a feed entry's content - and you want clean, readable plain text without adding beautifulsoup4 or lxml. A small HTMLParser subclass removes <script>/<style>, converts block elements into newlines, and collapses whitespace, which is exactly the shape you want before sending content to an LLM (fewer tokens) or into a search index.

When to invoke

• User says: "get the text out of this HTML", "clean this scraped page", "strip tags before summarizing", "convert this email HTML to text".
• HTML is about to be fed to a model or a digest and the markup is just noise.

When NOT to invoke

• You need to keep structure (tables, links as Markdown) - use a real HTML-to-Markdown converter.
• The page is rendered by JavaScript - fetch it with a headless browser first, then convert.

Concrete example

User input:

Turn this article HTML into plain text so I can summarize it with fewer tokens.

Output:

# Copy assets/htmltext.py into your project, then:
from htmltext import html_to_text

text = html_to_text(article_html)
summary = call_llm(f"Summarize:\n{text}")

<script> and <style> blocks are dropped entirely, block tags become line breaks, and runs of spaces/blank lines are collapsed, so the output reads like prose.

Pattern to apply

1. Subclass html.parser.HTMLParser with convert_charrefs=True so entities decode automatically.
2. Track a skip-depth for script/style/head so their text never leaks into the output.
3. Emit newlines around block tags, then collapse intra-line whitespace and multi-blank runs.
4. Keep it pure (string in, string out) so it is trivial to unit test.

Reference: assets/htmltext.py.

Source

Distilled from the author's scraping and digest pipelines. v1.0.0. See also: [[rss-feed-reader]], [[gemini-cost-tracker]], [[pipeline-orchestrator]].

→ Build the full runnable bot with Trawlkit.