pkgdocs/compare/arrow vs beautifulsoup4

Comparing

Python

arrow

Better dates and times in Python — timezone-aware by default, human-friendly API, and natural language parsing.

2.5M/ wk
v1.3.0
vs
Python

beautifulsoup4

HTML and XML parsing library for extracting data from web pages with a simple Pythonic API.

9.0M/ wk
v4.12.3
Metricarrowbeautifulsoup4
EcosystemPythonPython
DifficultyBeginnerBeginner
Weekly downloads2.5M9.0M↑
Latest versionv1.3.0v4.12.3
Recipes12↑

Tags

arrow only

datetimetimezoneutilities

Shared

parsing

beautifulsoup4 only

scrapinghtmlwebxml

When to use each

arrow

Any application dealing with dates across timezones, relative time displays ('posted 2 days ago'), date parsing from strings, date range iteration, or when you want less boilerplate than stdlib datetime.

beautifulsoup4

Scraping static HTML pages, extracting data from email templates, parsing HTML in tests, processing XML feeds, cleaning up messy HTML.

When to skip each

arrow

High-frequency numerical date computations (use numpy datetime64 or pandas Timestamp which are faster). Arrow adds overhead per operation.

beautifulsoup4

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.

Sample recipes

arrow

  • Common date operations

beautifulsoup4

  • Scrape article titles from a news page
  • Parse a table into a list of dicts