ScrapeGraphAI 是一个在 GitHub 上活跃的组织,专注于人工智能驱动的网络抓取。其公共代码库涵盖多种编程语言,包括 Python、TypeScript 和 Jupyter Notebook。其中,Scrapegraph-ai 和 scrapecraft 是其主要项目,提供了功能强大的网络抓取工具和编辑器,具有良好的公共曝光度。
Python scraper based on AI
🤖 AI-powered web scraping editor with visual workflow builder. Build, test & deploy web scrapers using natural language. Powered by ScrapeGraphAI & LangGraph.
Toonify: Compact data format reducing LLM token usage by 30-60%
Streamlit demo of Scrapegraph-ai for GPT4-hackaton
ScapeGraph MCP Server
Official Python SDK for the ScrapeGraph AI API. Smart scraping, search, crawling, markdownify, agentic browser automation, scheduled jobs, and structured data extraction
Python library for Entities, relationships and schemas extraction from documents
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Official documentation of Scrapegraph-ai library
CLI for AI-powered web scraping, structured data extraction, web search, multi-page crawling, and scheduled page-change monitoring powered by the ScrapeGraph AI API. Turn any URL into markdown, HTML, screenshots, links, images, summaries, or brand assets; pull structured JSON with a prompt + schema; watch pages on a cron with webhook alert
ScrapeGraphAI extension for Firefox and Chromium-based browsers.
ScrapeGraph client langchain integration
🌟 AI-powered tool to analyze GitHub stargazers, identify companies, and evaluate them as potential customers for AI scraping infrastructure
Diagram on the fly creator powered by AI agents
🕷️ Official Scrapegraph API Documentation 🤖
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ScrapeSchema: AI-Powered Entity and Schema Generation from documents
Official JavaScript/TypeScript SDK for the ScrapeGraph AI API. Smart scraping, search, crawling, markdownify, agentic browser automation, scheduled jobs, and structured data extraction — all powered by AI.
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Examples of the library for scrapegraphAi
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Show case ScrapeGraphAI x Elastic Search
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LlamaIndex is the leading document agent and OCR platform
Official, Anthropic-managed directory of high quality Claude Code Plugins.
Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.
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ScrapeGraphAI 在 GitHub 上构建了多个与人工智能相关的网络抓取工具和库,主要项目包括 Scrapegraph-ai 和 scrapecraft,致力于简化和增强网络抓取的过程。
ScrapeGraphAI 的主要编程语言包括 Python、TypeScript、Jupyter Notebook 和 JavaScript。这些语言支持其多个功能丰富的代码库和项目。
是的,ScrapeGraphAI 在 GitHub 上的所有代码库都是公开的,任何人都可以访问和使用这些资源,促进了开源社区的合作与共享。