<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM Scraper on SoloSoft</title><link>https://www.solosoft.dev/tags/llm-scraper/</link><description>Recent content in LLM Scraper 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/llm-scraper/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM Scraper: Extract Structured Data from Web Pages Using LLMs</title><link>https://www.solosoft.dev/post/llm-scraper-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/llm-scraper-2026/</guid><description>&lt;p&gt;Traditional web scraping relies on brittle CSS selectors and XPath expressions that break the moment a site updates its markup. LLM Scraper takes a fundamentally different approach: it uses large language models to understand page content semantically and extract exactly the data you need as structured JSON.&lt;/p&gt;
&lt;p&gt;Built by mishushakov, this open-source tool bridges the gap between unstructured HTML and structured data pipelines. Instead of writing and maintaining selectors, you define a typed schema of what you want to extract, and the LLM handles the rest.&lt;/p&gt;
&lt;h2 id="how-llm-scraper-works"&gt;How LLM Scraper Works&lt;/h2&gt;
&lt;p&gt;LLM Scraper supports multiple LLM providers including OpenAI, Anthropic, and local models via Ollama. You provide a URL or HTML content along with a JSON schema describing the data fields you need, and the tool returns a structured JSON object matching your schema.&lt;/p&gt;</description></item></channel></rss>