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- TESIGN / RADAR
- REPOSITORY CARD
- scrapegraphai/scrapegraph-ai
scrapegraphai/scrapegraph-ai
Python scraper based on AI
RANKS All-time #237
AT A GLANCE
- LANGUAGE
- Python
- LICENSE
- MIT
- USAGE
- Use, change and redistribute, commercially too. Keep the notice.
- ACTIVITY
- last commit 9 days ago ()
- TOPICS
- ai-crawler
- ai-scraping
- ai-search
- crawler
- data-extraction
- firecrawl-alternative
- large-language-model
- llm
- markdown
- rag
- scraping
- scraping-python
- HOMEPAGE
- https://scrapegraphai.com
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
README EXCERPT
🚀 Looking for an even faster and simpler way to scrape at scale (only 5 lines of code)? Check out our enhanced version at ScrapeGraphAI.com ! 🚀 --- 🕷️ ScrapeGraphAI: You Only Scrape Once English 中文 日本語 한국어 Русский Türkçe Deutsch Español français Português Italiano ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you! 🚀 Integrations ScrapeGraphAI offers seamless integration with popular frameworks and tools to enhance your scraping capabilities. Whether you're building with Python or Node.js, using LLM frameworks, or working with no-code platforms, we've got you covered with our comprehensive integration options.. You can find more informations at the following link Integrations : - API : Documentation - SDKs : Python, Node - LLM Frameworks : Langchain, Llama Index, Crew.ai, Agno, CamelAI - Low-code Frameworks : Pipedream, Bubble, Zapier, n8n, Dify, Toolhouse - MCP server : Link 🚀 Quick install The reference page for Scrapegraph-ai is available on the official page of PyPI: py…
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TIMELINE
- Repository created
- Last push
- FIRST SEEN BY TESIGN ◌ BACK CATALOG
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