data-extraction
16 projetos partilham este topic do GitHub
Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.
🧬 Membros
firecrawl
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
★ 195.7k
Scrapling
🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't…
★ 89.7k
crawl4ai
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run…
★ 86.4k
Scrapegraph-ai
Python scraper based on AI
★ 32.3k
maxun
🔥 The open-source no-code platform for web scraping, crawling, search and AI data extraction • Turn…
★ 17.3k
skills
Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms…
★ 6.3k
brightdata-mcp
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
★ 2.7k
contextgem
Extract structured data and insights from documents using LLMs and decision models
★ 2k
parsera
Lightweight library for scraping web-sites with LLMs
★ 1.3k
crw
Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for…
★ 1.1k · GitHub ↗
crw
Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for…
★ 1.1k
pdf_oxide
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF…
★ 892
hacker-news-digest
:newspaper: Let ChatGPT Summarize Hacker News for You
★ 755
reader
Open source web infrastructure for AI. Scrape, crawl, and automate the web, clean markdown, browser sessions,…
★ 558
office_oxide
The fastest Office document library for Python, Rust, Go, JS/TS, C# and WASM. DOCX, XLSX, PPTX, DOC, XLS,…
★ 134
pagesift
High-performance, memory-efficient Rust web crawler & content extraction engine for AI agents and RAG.…
★ 113 · GitHub ↗
🔗 Familias relacionadas
Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.