ScrapeGraphAI has a significant public presence on GitHub, showcasing a variety of repositories primarily in Python, TypeScript, and Jupyter Notebook. Notable projects include Scrapegraph-ai, an AI-based scraper, and scrapecraft, an AI-powered web scraping editor. These repositories highlight their focus on advanced web scraping technologies and tools.
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 builds several projects focused on web scraping and data extraction. Their notable repositories include Scrapegraph-ai, an AI-driven scraper, and scrapecraft, which features a visual workflow builder for creating web scrapers.
ScrapeGraphAI primarily uses Python and TypeScript for their projects, along with Jupyter Notebook and JavaScript. These languages support their development of sophisticated scraping tools and libraries.
Yes, all of ScrapeGraphAI's repositories are public on GitHub. This allows users to access, contribute to, and review their various projects and tools for web scraping and data extraction.
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