MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.
-
Updated
Dec 25, 2025 - HTML
MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.
pebkac Chrome Nonautomation - A Local LLM-Driven Web Co-Browser using Smolagents, Zendriver, Trafilatura.
web Scrapper In Python
Telegram Mini App that saves internet articles to read them later
Lean Python tool for extracting clean, LLM-optimized markdown from web pages. Handles dynamic content with Playwright + Trafilatura for maximum information extraction efficiency.
An immature port of the Trafilatura to Rust.
ChatGPT AI Clone
Real-time AI search and chat backend with WebSocket streaming, powered by Tavily web search and Google Gemini for Flutter apps.
Tools for LLMs to anonymously search and browse the web
🕷️ Clean, chunked documentation crawler optimized for RAG & AnythingLLM. Dockerized.
A web scraper with an LLM-powered document suggestion system that combines web crawling, data extraction, and advanced AI capabilities to recommend relevant documents.
Trafilatura API for html content info extract
This project is a Python-based web scraping tool that uses the Trafilatura library to extract and save text content from a list of specified websites. The program is designed to process multiple URLs, extract their main content, and save each website's content to a separate .txt file.
Agente simples que busca notícias em RSS, extrai o conteúdo das páginas, gera um resumo em HTML usando `Gemini` e envia por email via SMTP. Ideal para um boletim diário de tecnologia.
Free MCP server with web search, website reader & YouTube transcript tools. Zero API keys required.
🤖 Collection of AI agents for web search, RAG, and multi-agent collaboration. Features phi-agent + Groq integration, Ollama support, DuckDuckGo/Google search, web scraping, and local knowledge base querying with vector embeddings.
🕷️ Ingest clean documentation into LLM pipelines effortlessly, filtering out noise for better data quality and improved insights.
Summarize articles using NLTK, Gemini and Trafilatura
Add a description, image, and links to the trafilatura topic page so that developers can more easily learn about it.
To associate your repository with the trafilatura topic, visit your repo's landing page and select "manage topics."