ScrapeGraphAI
ScrapeGraphAI extracts structured data from web pages using AI, handling proxies, rendering, and adapting to site changes automatically.
ScrapeGraphAI is an intelligent, AI-powered scraping API designed for autonomous AI agents and developers. ScrapeGraphAI turns web pages into structured data using natural language.
Key Features:
- Natural Language Extraction - Describe the data you want and let AI extract it automatically
- Smart Endpoints - SmartScraper, SearchScraper, SmartCrawler, and AgenticScraper for any use case
- Auto-Adaptation - Handles proxies, rendering, and website changes with configurable extraction workflows
- Markdown Conversion - Convert web pages to clean markdown for LLM consumption
- Agentic Scraping - AI agents that navigate, interact, and extract from complex multi-step workflows
Whether you're building data pipelines, powering AI models, or automating research, ScrapeGraphAI provides reliable extraction at scale.
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Our productSource code
ScrapeGraphAI/Scrapegraph-ai
Stars
31.8KForks
3.3KLast commit
2026-10-06License
MITLanguage
Python
Metrics recorded 2026-10-16
Repository details
License source: Repository license file
Frequently asked questions
What is ScrapeGraphAI used for?
ScrapeGraphAI’s Python library combines LLMs with graph-based pipelines to extract information from websites or local documents. The company also offers a hosted API that accepts a URL and a natural-language extraction request and returns structured data. Library deployment and hosted API usage have different configuration and costs.
Sources (checked ): ScrapeGraphAI library; ScrapeGraphAI hosted API
Similar to ScrapeGraphAI
Sources
Verified against the ScrapeGraphAI/Scrapegraph-ai repository and the PyPI package.
