Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →To extract a webpage’s main text without opening it in a browser, fetch its HTML over HTTP and pass that HTML to a content extractor. In Python, Trafilatura offers a simple two-step workflow: use fetch_url() to retrieve the page, then extract() to remove much of the navigation and other boilerplate. It works when the article is present in the server’s HTML response; it cannot guarantee results for JavaScript-rendered pages, access-controlled content, or bot-check pages.
Extract one URL with Python
Install Trafilatura in your Python environment, then fetch the URL and extract its main content:
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from trafilatura import fetch_url, extract
url = "https://example.org/article"
downloaded = fetch_url(url)
text = extract(downloaded) if downloaded else None
if text:
print(text)
else:
print("No extractable content returned")fetch_url() retrieves the page HTML; extract() identifies and returns the main text. The default output is plain text. Trafilatura’s documented API also supports formats such as Markdown and JSON when you need structure or metadata. See the Trafilatura documentation for current API and command-line details.
The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →A command-line workflow is also available: Trafilatura documents accepting a URL as input. This is useful for one-off extraction or shell-based pipelines. Scrapy documents a related pattern in which a crawler downloads a response and passes it to Trafilatura for extraction; that is more appropriate when you also need to discover and process multiple URLs. Extracting a single URL does not, by itself, find links to other articles.
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Check that the result is actually the article
Extraction is heuristic, so inspect the output rather than assuming that a successful fetch means a successful article extraction. Treat None, unusually short text, a challenge or error message, or output dominated by menus and links as signs to investigate.
- Too much navigation or template text: Try precision-oriented extraction with
favor_precision=True. Trafilatura says this aims to reduce irrelevant material, but may also return less of the page’s text. - Missing paragraphs or other content: Compare the default result with recall-oriented behavior and inspect the returned HTML. A more inclusive result may recover content while also bringing back noise.
- Inconsistent difficult pages: Trafilatura’s standard process can use fallback algorithms when the initial result is too short. Its fast mode skips fallbacks and is quicker, but may be less helpful on difficult markup.
These are trade-offs, not universal settings. Test against representative pages from the sites you need to handle and compare unwanted boilerplate, missing content, preserved structure, and processing time. A 2024 Sandia National Laboratories report evaluating seven main-content extraction libraries concluded that no single library outperformed all others; it does not establish a universal winner for every site or use case. Sandia report SAND2024-10208.
Why a main-content extractor is different from HTML-to-text
Web pages combine article content with scripts, styles, navigation, footers, and other repeated elements. Trafilatura cleans the HTML tree and scores text nodes using signals such as text length, link density, and position. Its main extractor can try fallback algorithms, including Readability and jusText. Those methods are useful across varied page layouts, but they remain heuristics: markup alone does not always reveal exactly what a publisher considers central.
Do not substitute a generic “all text” conversion if your goal is a clean article. Trafilatura distinguishes extract(), which targets main content, from html2txt(), which returns all page text, including navigation and footers. Scrapy describes the clean-content use case as getting “the page itself, without navigation, ads or footers” for uses such as search indexing, summarization, or retrieval-augmented generation. See Scrapy’s extraction documentation.
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When a plain HTTP fetch cannot work
A direct request can only provide the HTML the server returns. If the article is inserted later by JavaScript, withheld behind authentication, or replaced by a bot challenge, the extractor may have no article text to identify. In that case, first determine whether the fetched HTML contains the missing content; changing extraction settings cannot recover text that was never retrieved. Trafilatura’s FAQ points users to separate guidance for JavaScript-rendered pages.
If the full document text is what you need—including menus and footers—use a whole-page conversion instead. For a clean article extraction, keep retrieval and content identification as separate steps, validate the output, and choose settings based on the pages and structure your workflow actually needs.
Quick Recap
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