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Tweet de @ecommartinez que lista 10 repositorios de GitHub para hacer web scraping y extraer datos limpios de cualquier sitio web.
Datalab's balanced mode extraction achieves 95.9% accuracy in internal benchmarks, surpassing Reducto Deep Extract (95.1%) at less than half the price, with full verification including citations and reasoning.
Liquid AI releases LFM2.5-230M, a lightweight foundation model that runs on devices from cloud GPUs to CPUs and Raspberry Pi, with strong performance on tool use and data extraction tasks.
MinerU is a free, open-source tool that extracts text, tables, and equations from PDFs and scanned documents, supporting 109 languages and batch processing, saving hours of manual work.
This article introduces 10 open-source GitHub repositories for web scraping, including Firecrawl, Crawl4AI, etc., which can extract clean data from websites and support AI-ready formats.
Vik Paruchuri showcases lift, an open-source extraction model capable of pulling structured data from messy contracts.
A curated thread listing 10 GitHub repositories for web scraping, including Firecrawl, Crawl4AI, Browser Use, and others, covering everything from simple scraping to stealth tools and LLM-ready data extraction.
Vik Paruchuri is open-sourcing a 9B model that extracts structured data from documents with near-frontier performance (90.2% on their benchmark, vs Gemini 3.5 Flash at 91.3%).
A benchmark comparing AI models ranging from 2B to 35B parameters on a challenging task of extracting structured data from HTML, evaluating their performance and accuracy.
Agentic Document Extraction is a tool that uses AI agents to make documents computable by extracting structured data from unstructured documents.
VikParuchuri announces the launch of turbo mode data extraction, claiming 5x faster and cheaper performance with 7% more accuracy than Azure Content Understanding, achieving competitive latency for real-time workflows.
A viral open-source web crawling tool called Crawl4AI offers free, LLM-friendly scraping with features like JavaScript rendering, async crawling, and clean structured output, contrasting with paid services like Firecrawl.
browser_use is a tool that converts any website into clean JSON via a single curl call, handling JavaScript rendering and bypassing bot protections like Cloudflare.
Browser Use launched Fetch Use, a Python SDK for scraping websites with a stealth browser that handles proxies, cookies, and sessions automatically.
This article introduces 5 open-source tools (Agent-reach, Scrapling, Browser-use, Claude in Chrome, Web-access) that enable AI agents like Claude Code to perform web scraping, browser operations, etc., covering scenarios from lightweight to heavy-duty, along with configuration tips.
Open-source PDF parser OpenDataLoader converts 100 pages to Markdown per second, runs on CPU only, free and open-source, developed by the PDF Association and veraPDF team, ranking first in benchmarks.
This open-source project can scrape web data with zero code, bypass anti-scraping mechanisms, boost efficiency tens of times, and has earned 50k+ stars.
This paper introduces infilling extraction, a new method for extracting training data from diffusion language models by using arbitrary binary masks, showing that such models are more vulnerable to memorization attacks than previously thought.
DodoForm is a tool that converts speech, images, or handwritten notes into clean, structured data.
Advice on parsing tables from PDFs by converting to PNGs and using Gemini 3.1 Pro with low thinking, claiming 95% accuracy. Other tools like Extend, Reducto, Landing are poor for this task.