ScrapeGraphAI
Officially listedAn AI-powered web scraping API that extracts structured data from natural language prompts.
ScrapeGraphAI
ScrapeGraphAI is an AI-native web scraping tool built by a team in Padua, Italy, that extracts structured data through natural language prompts. The MIT-licensed open-source project has earned 23,237 stars on GitHub, served more than 1 million users, and completed 40 million page scrapes, compressing traditional crawler development time from hours to 5 minutes.
Core Capabilities
- SmartScraper: Extract specific data from a single page with natural language; the AI identifies the target content automatically, no need to write selectors
- SearchScraper: Combines search engines with AI analysis to gather and integrate information from across the web
- SmartCrawler: Intelligently crawls entire sites with depth control and automatically adapts to website structure changes for zero maintenance
- Markdownify: Converts web pages into clean Markdown, preparing data for LLM training and RAG applications
- AgenticScraper: Self-directed navigating and interacting AI agents that simulate human browsing behavior to complete complex tasks
- AI framework integration: Official support for LangChain, LlamaIndex, and Model Context Protocol, so it can plug into AI assistants like Claude and Cursor IDE
Use Cases AI agent developers building RAG knowledge bases, data scientists validating prototypes quickly, e-commerce teams monitoring prices, and market researchers analyzing competitors. If you are using LangChain or need an AI assistant to access live web data, this is built for you.
Unique Advantages While ScrapingBee ($29/month) is still returning raw HTML, ScrapeGraphAI ($17/month) directly outputs structured JSON with AI reasoning included. Zero maintenance beats traditional Scrapy—website redesigns require no code updates, and Pydantic schema validation ensures type safety.
Editor's Verdict Authoritative platforms such as DataCamp list it as a must-learn tool for 2026, and users report 90% efficiency gains and savings of 30+ hours. The only caveat is that API consistency occasionally fluctuates; we suggest starting with the $17 Starter plan. This represents the future direction of scraping—a data source designed for the AI era.
Pricing
### 💰 定价模式：免费增值（积分制） **起步价**：免费（50 积分）起，付费 $17/月起 #### 主要方案 - **Free**：$0 - 50 积分一次性额度，10 请求/分钟，社区支持 - **Starter**：$17/月 - 60,000 积分/年，30 请求/分钟，所有核心功能 - **Growth**：$85/月 - 480,000 积分/年，60 请求/分钟，代理轮换 - **Pro**：$425/月 - 300 万积分/年，200 请求/分钟，优先支持 - **Enterprise**：定制定价 - 定制积分和速率，SLA 保障，专属支持 #### 试用/其他信息 按年付费可节省 15%。积分消耗：SmartScraper 10 积分/页，Markdownify 2 积分/页，SearchScraper 30 积分/页。实际成本约 $0.004/页（以 SmartScraper 为例）。支持额外购买积分包。 — Visit website
FAQ
Is ScrapeGraphAI free?
There is a free tier, and sign-up comes with 50 credits (enough to scrape roughly 5-25 pages). Paid plans start at $17/month and include 60,000 credits plus all features.
What are ScrapeGraphAI's main features?
Seven core services: SmartScraper (single-page extraction), SearchScraper (web-wide search), SmartCrawler (full-site crawling), Markdownify (Markdown conversion), AgenticScraper (AI agent), Scrape (basic fetching), and Sitemap (sitemap extraction).
How does ScrapeGraphAI ensure data extraction accuracy?
It combines LLM semantic understanding with Pydantic schema validation to keep the output data type-safe. It supports custom complex nested structures; success rates on simple sites approach 100%, and prompts can be tuned to optimize results on complex dynamic sites.
Does ScrapeGraphAI require programming knowledge?
Basic Python skills are required. Although it is 10x simpler than traditional Scrapy, you still need to be able to call APIs and handle JSON. Fully no-code users can wait for the ScrapeGraft visual editor to mature.
What is the difference between ScrapeGraphAI and Firecrawl?
Pricing is similar ($17 vs $16), but ScrapeGraphAI focuses on structured data extraction with Pydantic validation support, while Firecrawl focuses on Markdown conversion. The former is better suited to application development, the latter to LLM consumption.
How does ScrapeGraphAI integrate with LangChain?
The official langchain-scrapegraph package provides 5 tools (SmartScraperTool, SearchScraperTool, and more) with Pydantic schema definitions, working seamlessly with LangChain agents to build AI applications.
How fast is the ScrapeGraphAI API?
A single API call averages 2-3 seconds (including AI inference), and typical tasks consume 1,250-1,500 tokens. The Growth plan supports 60 requests per minute, and the Pro plan reaches 200 requests per minute.