html2text vs Beautiful Soup

Side-by-side — pricing, strengths, tradeoffs, and fit.

html2text

Convert HTML to Markdown-formatted text.

Beautiful Soup

Pythonic idioms for parsing HTML and XML documents.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
· Not enough data·From $0

Overview

One-liner

Convert HTML to Markdown-formatted text.

One-liner

Pythonic idioms for parsing HTML and XML documents.

Maturity

Established

Maturity

Not enough data

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers who need to process and analyze web content in plain text or Markdown format
Content creators looking to convert HTML documentation into a more readable form for distribution

✓ Best for

Developers who need a simple and efficient way to parse HTML/XML documents in Python projects.
Projects requiring easy navigation through nested tags and attributes within web pages.

Not ideal for

✕ Not for

Projects requiring real-time conversion of large volumes of HTML data, as it is designed primarily for local use
Applications that need advanced formatting options beyond basic Markdown and plain text

✕ Not for

Real-time data processing where performance is critical as Beautiful Soup can be slow with large datasets.
Complex document structures that require advanced parsing beyond basic HTML or XML.

Strengths

↑ Strengths

Converts HTML to plain text or Markdown
Handles complex HTML structures and nested tags
Customizable output with options for different styles of text formatting

↑ Strengths

Easy to use for parsing HTML and XML documents.
Supports various parsers like html.parser, lxml, and html5lib.
Provides a simple API for navigating, searching, and modifying the parse tree.

Weaknesses

↓ Weaknesses

Limited customization options for complex HTML structures
Performance issues with large HTML documents
Dependence on Python ecosystem limits cross-language use
Documentation lacks comprehensive examples and troubleshooting guides

↓ Weaknesses

Limited support for dynamic content
Performance issues with large documents
Error handling is not robust for malformed input
Full html2text profile →Full Beautiful Soup profile →