beautifulsoup4
Screen-scraping library
This package has a good security score with no known vulnerabilities.
Community Reviews
Convenient HTML parsing with significant security and validation gaps
The library's error handling is permissive by design, silently accepting malformed HTML without warnings about potentially dangerous content. When parsing untrusted HTML, you must manually sanitize everything before rendering or storing. There's no built-in protection against XXE attacks when using XML parsers, and the documentation doesn't emphasize security considerations prominently enough.
Dependency management varies by parser choice. The html.parser is stdlib-only (good for supply chain), but lxml and html5lib backends add external dependencies. Error messages rarely expose sensitive data, which is positive, but the library provides no guidance on secure scraping practices like rate limiting, user-agent handling, or certificate validation when paired with requests.
Best for: Parsing trusted HTML sources or scraping public websites where output is carefully sanitized before storage or display.
Avoid if: You need automatic HTML sanitization for user-generated content or handling potentially malicious HTML without additional security libraries.
Intuitive HTML parsing with forgiving APIs, but lacks modern type safety
The getting-started experience is smooth with clear, practical documentation that includes plenty of copy-paste examples. Navigating the parse tree feels Pythonic with both attribute-style access (`soup.div.p`) and method-based traversal. Error messages are generally helpful, pointing you toward common mistakes like searching closed tags or incorrect parser usage.
The main pain point is the complete absence of type hints, making IDE autocompletion unreliable. You'll often find yourself checking docs to remember whether a method returns a Tag, NavigableString, or None. The distinction between `.find()` returning None and `.find_all()` returning an empty list catches newcomers regularly. Parser selection (lxml vs html.parser) affects behavior in subtle ways that aren't always obvious until something breaks.
Best for: Web scraping projects where you need to parse real-world HTML reliably with minimal setup and intuitive APIs.
Avoid if: You require strong type safety and IDE support, or need high-performance parsing of massive HTML documents at scale.
Gentle learning curve makes HTML parsing accessible and productive
The documentation is excellent with abundant copy-paste examples for common scenarios. When I hit edge cases, Stack Overflow has deep coverage, and the official docs' "Kinds of objects" section helped me understand the four core object types quickly. Debugging is straightforward because you can `.prettify()` any element to see exactly what you're working with.
The parser flexibility (lxml, html.parser, html5lib) is a hidden gem - when one parser chokes on broken HTML, switching is a one-line change. Day-to-day, it just works reliably for web scraping, data extraction, and HTML cleanup tasks without fighting the library.
Best for: Web scraping, HTML parsing, and data extraction tasks where developer productivity and code readability matter more than raw speed.
Avoid if: You need maximum performance on massive XML/HTML documents where pure lxml or streaming parsers would be faster.
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