Comparing
HTML and XML parsing library for extracting data from web pages with a simple Pythonic API.
Data validation using Python type hints
| Metric | beautifulsoup4 | pydantic |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner ✓ | Intermediate |
| Weekly downloads | 9.0M↑ | 0 |
| Latest version | v4.12.3 | v2.12.5 |
| Recipes | 2 | 2 |
beautifulsoup4 only
Shared
pydantic only
Scraping static HTML pages, extracting data from email templates, parsing HTML in tests, processing XML feeds, cleaning up messy HTML.
Use Pydantic for parsing API responses, validating config files, defining request/response schemas in FastAPI, or any time you receive data from an external source and want guarantees about its shape and types.
JavaScript-rendered pages (use Playwright or Selenium). High-volume scraping at scale (use Scrapy). When the site has a proper API — always prefer the API.
Pydantic adds overhead on every model instantiation — not ideal for tight inner loops parsing millions of small objects. For pure config files with no user-facing validation, dataclasses or simple TypedDicts may be lighter.
beautifulsoup4
pydantic