articula

Give it a URL, get the article. articula extracts the clean, structured content of a news story, column, or blog post from a single URL — the title, body text, author, and published date — and escalates through progressively stronger strategies so that bot detection and JavaScript-rendered pages don't stop it.

from articula import scrape

article = scrape("https://example.com/some-news-article")
print(article.title)
print(article.author, article.published_date)
print(article.text)

It is not a general-purpose crawler or a structured-data scraper. It does one thing well: turn an article URL into a clean record.

Why another scraper?

Most "fetch the page and run readability" approaches fall over on exactly the pages you care about:

• Bot walls — Cloudflare / "Just a moment…" interstitials, 403/429 responses, naive-client blocks.
• JavaScript-rendered bodies — the article isn't in the initial HTML; it's injected by a client-side framework after load.

articula handles both by escalating through tiers and only stopping when a tier produces a genuinely usable article body:

Crucially, a tier "wins" only when its HTML yields a meaningful body. If the static HTML is just a JavaScript shell or a challenge page, extraction fails and articula escalates — all the way to the browser tier, which renders the page like a real user before extracting. The cheap path stays fast (real articles return on tier 1 without ever launching a browser); the hard path still works.

Content extraction itself cascades too: trafilatura → readability-lxml → heuristic, taking the first that produces a substantive body. Title/author/date are cross-checked against JSON-LD and Open Graph metadata (more reliable than guessing DOM nodes), and login / paywall / bot-challenge pages are detected and rejected rather than returned as the article. Dates are normalized to ISO 8601; language is auto-detected.

Site-specific handling

A few platforms defeat generic scraping and ship dedicated adapters:

• Naver blog (blog.naver.com) — follows the mainFrame iframe to the real PostView document and extracts the SmartEditor content container.
• MSN (msn.com) — pulls the article from MSN's public content API instead of the un-scrapable client-rendered DOM.

Generic news/blogs (BBC, Guardian, WordPress, Ghost, Medium*, …) are handled by the standard pipeline. *Member-only or Cloudflare-gated pages may be unreachable; in that case articula raises a clear ScraperError rather than returning the wall text.

Installation

The base package is deliberately lightweight (no browser binaries):

pip install articula

To unlock the JavaScript-rendering / anti-bot browser tier, install the extra and the Chromium binary:

pip install "articula[browser]"
playwright install chromium

With the extra installed, the browser tier engages automatically — no configuration required. Without it, articula still does static + readability extraction and degrades gracefully with a clear, actionable error when a page genuinely needs JS rendering.

Requires Python 3.10+.

Usage

Synchronous (scripts, CLIs)

from articula import scrape

article = scrape("https://example.com/article")

Asynchronous (FastAPI, async pipelines)

from articula import async_scrape

article = await async_scrape("https://example.com/article")

The sync scrape() raises a clear error if called from inside a running event loop — use async_scrape() there instead.

Reusing a browser across many URLs (efficient batch)

from articula import Scraper

async with Scraper(timeout=45) as scraper:
    a = await scraper.scrape("https://example.com/one")
    b = await scraper.scrape("https://example.com/two")
    # one headless browser is launched lazily and reused

Batch with bounded concurrency

from articula import scrape_many          # sync
# from articula import async_scrape_many  # async equivalent

# returns results in input order; per-URL errors are captured, not fatal
results = scrape_many(urls, concurrency_limit=4)
for url, result in zip(urls, results):
    if isinstance(result, Exception):
        print(url, "failed:", result)
    else:
        print(url, "->", result.title)

In async code use await async_scrape_many(urls, concurrency_limit=4) instead — scrape_many() raises if called from inside a running event loop.

Options

Every entry point accepts the same power-user knobs (all optional):

scrape(
    url,
    timeout=30.0,            # total wall-clock budget, seconds
    max_retries=3,           # transient-failure retries (429/503/network)
    custom_headers={...},    # extra request headers
    custom_user_agent="…",   # override the User-Agent
    proxy_url="http://…",    # route through a proxy
    force_strategy="browser",# pin to one tier (e.g. skip straight to browser)
    respect_robots=False,    # see "Responsible use" below
)

The Article model

scrape() returns a frozen Article:

Partial success is success. As long as a body is extracted, you get an Article — author/published_date are simply None when not found. Use extraction_confidence to decide how much to trust a result.

Errors

articula raises only on genuine failure (it never silently returns junk):

ScraperError
├── FetchError       # page unreachable after all tiers (network, 4xx/5xx, unsolved challenge)
├── ExtractionError  # page fetched, but no meaningful body could be extracted
├── BrowserNotInstalledError
├── RobotsDisallowedError
└── ConfigurationError

FetchError and ExtractionError carry .url and .strategies_attempted for debugging.

Responsible use

articula defaults to ignoring robots.txt (respect_robots=False) because its purpose is to retrieve content that friction sometimes hides. That power comes with responsibility:

• Scrape only content you are allowed to access.
• Respect site terms of service and applicable law.
• Rate-limit your requests; don't hammer origins.
• Pass respect_robots=True to honor robots.txt when appropriate.

You are responsible for how you use this tool.

Logging

articula uses the standard logging module under the articula logger with a NullHandler attached, so it's silent until you configure logging:

import logging
logging.getLogger("articula").setLevel(logging.DEBUG)
logging.basicConfig()

Tier escalation, status codes, and timings are logged at DEBUG.

License

MIT