<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trafilatura on SoloSoft</title><link>https://www.solosoft.dev/tags/trafilatura/</link><description>Recent content in Trafilatura on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/trafilatura/index.xml" rel="self" type="application/rss+xml"/><item><title>Trafilatura: Open-Source Web Text Extraction for LLM Datasets and Research</title><link>https://www.solosoft.dev/post/trafilatura-text-extraction-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/trafilatura-text-extraction-2026/</guid><description>&lt;p&gt;Extracting clean, structured text from web pages is a foundational task for LLM training datasets, research corpora, and content analysis pipelines. &lt;strong&gt;Trafilatura&lt;/strong&gt; has emerged as the gold standard for this task &amp;ndash; a Python library that consistently achieves the highest F-Score among open-source text extraction tools while remaining lightweight, fast, and easy to integrate.&lt;/p&gt;
&lt;p&gt;Developed by Adrien Barbaresi at the Berlin-Brandenburg Academy of Sciences and Humanities, Trafilatura goes beyond simple HTML-to-text conversion. It identifies the main content area of a webpage, strips away navigation, headers, footers, ads, and sidebars, and returns only the meaningful textual content. Its crawling capabilities allow it to recursively follow links within a domain, building comprehensive text corpora from entire websites.&lt;/p&gt;</description></item></channel></rss>