Fast HTML parsing for Python with BeautifulSoup-style ergonomics.

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  • Author: rustysoup contributors
  • Tags rustysoup , html , parser , beautifulsoup , bs4 , rust , scraping , web-scraping
  • Requires: Python >=3.10
  • Provides-Extra: bench , test
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Project description

rustysoup

CI PyPI Python License

BeautifulSoup ergonomics. Rust-speed HTML extraction.

rustysoup is for scrapers, crawlers, and data pipelines that like BeautifulSoup's API but need much higher throughput. Keep the workflow you know: parse HTML, find tags, select with CSS, read attributes, and extract text.

from rustysoup import BeautifulSoup

soup = BeautifulSoup(html)

products = [
    {
        "name": card.select_one("a").get_text(strip=True),
        "url": card.select_one("a")["href"],
        "price": card.select_one(".price").get_text(strip=True),
    }
    for card in soup.select(".product")
]

Install

pip install rustysoup

Requires Python 3.10+.

Why rustysoup

  • Use BeautifulSoup-style code when BeautifulSoup is the bottleneck.
  • Move existing scrapers over with a small import change.
  • Rust parser core built for high-throughput extraction.
  • Fast CSS selectors, traversal, attributes, and text extraction.
  • Wheels for Python 3.10+ on Linux, macOS, and Windows.

Usage

from rustysoup import BeautifulSoup

html = """
<html>
  <head><title>Catalog</title></head>
  <body>
    <div class="product" data-id="1">
      <a href="/products/1">Coffee grinder</a>
      <span class="price">$39</span>
    </div>
  </body>
</html>
"""

soup = BeautifulSoup(html)

assert soup.title.text == "Catalog"
assert soup.find("div", class_="product").get("data-id") == "1"
assert soup.find("a")["href"] == "/products/1"
assert soup.select("div.product a[href]")[0].get_text(strip=True) == "Coffee grinder"
assert soup.find("missing") is None

For new code, Soup is the same parser with a shorter name:

from rustysoup import Soup

soup = Soup("<p>Hello <strong>Rust</strong></p>")
print(soup.find("p").get_text(" ", strip=True))

BeautifulSoup Migration

Most extraction code can start with a single import change:

# Before
from bs4 import BeautifulSoup

# After
from rustysoup import BeautifulSoup

Common constructor forms are supported:

BeautifulSoup(html)
BeautifulSoup(html, "html.parser")
BeautifulSoup(html, "lxml")
BeautifulSoup(html, features="html.parser")

Parser names such as "html.parser" and "lxml" are accepted as compatibility hints and routed through the Rust engine.

Common APIs:

soup.find("a")
soup.find("div", class_="product")
soup.find_all("a", href=True)
soup.select("div.product a[href]")
soup.get_text(" ", strip=True)

Benchmarks

rustysoup is built for high-throughput extraction without forcing users into a low-level parser API.

Measured on 104 public HTML pages, 19.83 MiB total, release build, CPython 3.14.5, macOS arm64. Lower is better.

Parser Parse only Page summary Link graph Selector-heavy
rustysoup 65.47 ms 92.36 ms 292.60 ms 93.14 ms
selectolax Lexbor 168.72 ms 223.97 ms 415.35 ms 246.28 ms
selectolax Modest 213.64 ms 275.98 ms 458.94 ms 286.66 ms
lxml.html 268.88 ms 345.77 ms 526.00 ms 517.36 ms
html5_parser 380.05 ms 453.78 ms 632.53 ms 624.89 ms
BeautifulSoup lxml 1773.66 ms 1958.49 ms 2105.44 ms 4197.38 ms
BeautifulSoup html.parser 2342.20 ms 2529.23 ms 2676.43 ms 4755.78 ms

Architecture

Powered by html5ever and Servo selectors.

The Python API runs on a custom Rust arena DOM optimized for parsing, traversal, selector matching, and Python object creation.

Development

maturin develop
pytest

Release checks:

cargo fmt --check
cargo clippy --all-targets --all-features -- -D warnings
cargo test --all-features
maturin develop --release
pytest

Status

rustysoup is early, active, and designed for production-style extraction workloads. If you find a parser difference, missing BeautifulSoup API, or performance regression, please open an issue with a small HTML sample and expected output.

For benchmark methodology and corpus collection, see docs/benchmarks.md and docs/corpus.md.

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  • Tags rustysoup , html , parser , beautifulsoup , bs4 , rust , scraping , web-scraping
  • Requires: Python >=3.10
  • Provides-Extra: bench , test
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