Fast HTML parsing for Python with BeautifulSoup-style ergonomics.

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Project description

rustysoup

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

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

Development

maturin develop
pytest

Recommended local hook:

git config core.hooksPath .githooks

CI checks:

./ci/check.sh rust
./ci/check.sh all

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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This version

0.1.2

May 20, 2026

0.1.1

May 18, 2026

0.1.0

May 18, 2026

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rustysoup 0.1.2

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rustysoup

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