ScrapeGraphAI
Extracts structured data from websites using AI-driven natural language prompts
ScrapeGraphAI is a web scraping platform that uses AI and natural language prompts to extract structured data from websites and documents. Its core services — SmartScraper, SearchScraper, Markdownify, and Spidy Agent — cater to developers and businesses needing efficient data extraction. SmartScraper pulls specific data like product details from a single page, using 10 credits per request. SearchScraper analyzes web results from a query, costing 30 credits, while Markdownify converts pages to Markdown for 2 credits. Spidy Agent generates scraping code, streamlining complex tasks.
The platform supports Python and TypeScript SDKs, integrating with LangChain and LlamaIndex for AI workflows. Its open-source version, with 20,000+ GitHub stars, powers millions of page extractions. Pricing starts with a free tier (50 credits) and scales to enterprise plans with custom limits and proxy rotation. Compared to Apify or Diffbot, it prioritizes AI-driven simplicity over traditional scraping complexity.
Users praise its ease of use, with LinkedIn posts highlighting setup in under five minutes. However, the credit system can limit heavy users, and some Reddit feedback notes inconsistent results on dynamic sites. Documentation is solid but lacks depth for advanced scenarios. The platform’s community and partnerships with AWS and NVIDIA add credibility.
To try it, sign up for a free API key and test SmartScraper on a static page. Use the dashboard to monitor credits and explore the cookbook for use case examples.
Homepage Screenshot 📸
Video Overview 🎬
What are the key features? ✨
- SmartScraper: Extracts structured data from single pages using natural language prompts.
- SearchScraper: Analyzes web search results for insights with one query.
- Markdownify: Converts web pages into clean Markdown format.
- Spidy Agent: Generates scraping code for automated workflows.
- Proxy Rotation: Handles enterprise-scale scraping with automatic proxy management.
Who is it for? 🤔
Examples of what you can use it for 💡
- E-commerce Developer: Extracts product details from competitor sites for price comparison.
- Market Researcher: Uses SearchScraper to gather insights on brand mentions across the web.
- Content Creator: Converts blog posts to Markdown for easy repurposing.
- Data Analyst: Builds datasets from multiple websites for trend analysis.
- Startup Founder: Automates data collection for AI model training.
Pros & Cons ⚖️
- Easy setup with Python SDK
- AI-driven natural language prompts
- Strong community support
- Credit system limits free tier
- Spotty on JavaScript-heavy sites
FAQs 💬
Ready to try ScrapeGraphAI?
Extracts structured data from websites using AI-driven natural language prompts
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