Scrapegraph Ai
Python scraper based on AI
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What is Scrapegraph Ai?
ScrapeGraphAI is an AI-powered web scraping API that extracts structured data from any website using natural language prompts. Instead of writing complex CSS selectors or brittle scraping scripts, users simply describe what data they want and receive clean JSON output. The tool leverages Large Language Models (LLMs) and graph-based logic to build scraping pipelines that automatically adapt to website structure changes.
Key features include five core services: Scrape (convert pages to markdown/HTML/screenshots), Extract (structured data extraction with prompts), Search (web search with inline content extraction), Crawl (async multi-page site traversal), and Monitor (cron-scheduled change detection with webhooks). The platform offers official Python and JavaScript SDKs, CLI tools, MCP server integration for AI assistants like Claude and Cursor, and native integrations with LangChain, CrewAI, LlamaIndex, n8n, Zapier, and Make.
ScrapeGraphAI is perfect for AI applications needing web data for RAG pipelines, data analysts extracting research data, developers building datasets from web sources, and teams creating scraping-powered platforms. With 26.5k+ GitHub stars, 40M+ extracted webpages, and 1M+ unique users, it serves everyone from individual developers to enterprise organizations. The tool requires no proxies, needs zero maintenance, and handles JavaScript rendering and anti-bot measures automatically.
The platform supports multiple LLMs including GPT, Gemini, Groq, Azure, and Hugging Face, plus local models via Ollama. It provides SOC 2 Type II compliance, built-in rate limiting, automatic proxy management, and stealth mode with anti-bot bypass. Use cases include price monitoring on e-commerce sites, lead generation from LinkedIn/Twitter, market research dashboards, real estate tracking on Zillow/Redfin, and connecting AI agents to real-time web data.
Scrapegraph Ai pricing
Pricing model: Freemium
Free Plan: $0/mo with 500 API credits/month, 10 requests/min, 1 monitor, 1 concurrent crawl. Starter Plan: $17/mo ($204/year, save $36) with 10,000 credits/month, 100 requests/min, 5 monitors, 3 concurrent crawls. Growth Plan (Most Popular): $85/mo ($1,020/year, save $180) with 100,000 credits/month, 500 requests/min, 25 monitors, 15 concurrent crawls, basic proxy rotation. Pro Plan: $425/mo ($5,100/year, save $900) with 750,000 credits/month, 5,000 requests/min, 100 monitors, 50 concurrent crawls, advanced proxy rotation, priority support. Enterprise: Custom pricing with ad-hoc credits, custom rate limits, dedicated support, SLA guarantee. Credit top-ups: Small ($5 for 1,000 credits), Medium ($40 for 10,000 credits), Large ($150 for 50,000 credits) - never expire and stack on subscription. Credit costs: Scrape markdown=1, screenshot=2, branding=25; Extract=5; Search=2/result without prompt or 5/result with prompt; Crawl=2 startup + per-page cost; Monitor=+5 on change detected. Stealth toggle adds +5 credits. Yearly billing saves up to 15%.
Scrapegraph Ai pros
- No proxies required - built-in proxy rotation included
- Zero maintenance - auto-adapts to website structure changes
- Natural language prompts replace complex CSS selectors
- 5-core API services: Scrape, Extract, Search, Crawl, Monitor
- Official Python and JavaScript SDKs with type hints
- MCP server integration for Claude Desktop and Cursor IDE
- Native integrations with LangChain, CrewAI, LlamaIndex, n8n, Zapier, Make
- Supports multiple LLMs: GPT, Gemini, Groq, Azure, Hugging Face, Ollama
- JavaScript rendering handled automatically
- Stealth mode with anti-bot bypass available
- SOC 2 Type II compliant
- Credit-based pricing with transparent costs, no hidden fees
- Free tier with 500 API credits per month
- One-time credit top-ups that never expire
- Webhook notifications for page change monitoring
- 26.5k+ GitHub stars with active open-source community
- 5-minute setup time to first successful scrape
- Structured JSON output with schema definition support
- Built-in rate limiting and request quota management
- History endpoint to inspect and retrieve past request results
Scrapegraph Ai cons
- Requires API key and internet connection - not offline capable
- Credit costs can add up for high-volume scraping operations
- Stealth mode adds +5 credits per request
- Very complex layouts can be tricky to extract from
- Heavily obfuscated HTML sometimes causes extraction issues
- Large datasets take 1-2 minutes to process
- Some sites with aggressive anti-bot measures may still block
- Free tier limited to 500 credits/month and 10 requests/min
- No markdown export option - downloads as JSON only
- Premium formats like screenshots cost more credits
Frequently asked questions about Scrapegraph Ai
What is ScrapeGraphAI?
ScrapeGraphAI is an AI-powered web scraping API that lets you extract structured data from any website using natural language prompts. No complex selectors, no brittle scripts — just describe what you want and get clean JSON back. It uses Large Language Models (LLMs) and direct graph logic to build scraping pipelines for websites and local documents.
How do I get started with ScrapeGraphAI?
Getting started involves three steps: 1) Sign up and get your API key from the dashboard at scrapegraphai.com/dashboard, 2) Choose your service (Scrape, Extract, Search, Crawl, or Monitor) based on your needs, 3) Start extracting using the official Python SDK, JavaScript SDK, CLI, or direct REST API calls. Python 3.7+ is required for the SDK.
What programming languages are supported?
ScrapeGraphAI supports Python, JavaScript, TypeScript, cURL, and REST API. Official production-ready SDKs are available for Python and JavaScript with comprehensive error handling, retry logic, type hints, and full IDE support. More language support is coming soon.
How does the credit system work?
You pay only for what you use with a simple credit system. Scrape (markdown) costs 1 credit, screenshot costs 2 credits, branding costs 25 credits. Extract costs 5 credits per request. Search costs 2 credits/result without prompt or 5 credits/result with prompt. Crawl costs 2 credits startup plus per-page scrape cost. Monitor costs +5 credits when change is detected. Stealth mode adds +5 credits. Credits never expire on top-up packs.
What are the core API services?
The v2 API exposes five core services: Scrape (fetch URL in markdown/HTML/screenshot/JSON formats), Extract (structured data extraction using natural language prompts), Search (web search with page content returned inline and optional AI extraction), Crawl (async multi-page traversal with URL patterns and depth limits), and Monitor (cron-scheduled watches with change detection and webhooks). History endpoint lets you look up past requests by ID.
Does ScrapeGraphAI handle JavaScript websites?
Yes, ScrapeGraphAI handles JavaScript-rendered content automatically. It offers render mode options (auto/fast/js) that change the fetch strategy without affecting credit cost. The platform includes browser automation and JavaScript rendering as standard features, so dynamic content loaded via JavaScript is properly captured without additional configuration.
What integrations are available?
Official integrations include Python SDK, JavaScript SDK, CLI, MCP (Model Context Protocol), LangChain, CrewAI, LlamaIndex, Agno, Vercel AI, Smithery, n8n, Zapier, and Make. The MCP server allows you to connect AI assistants like Claude Desktop and Cursor IDE directly to the web for real-time data scraping in AI agent workflows.
Is there a free tier available?
Yes, the Free Plan includes 500 API credits per month, 10 requests/min rate limit, 1 monitor, and 1 concurrent crawl at $0/mo with no credit card required. This is perfect for testing the waters, proof-of-concepts, and getting familiar with the platform. The free tier includes access to all core services including SmartScraper technology.
What use cases does ScrapeGraphAI support?
Popular use cases include: Price Monitoring Bot (track competitor prices on Amazon/eBay/Shopify), Lead Generation Tool (extract LinkedIn profiles/Twitter users/contact info), Market Research Dashboard (aggregate reviews/ratings/sentiment), Real Estate Tracker (monitor Zillow/Redfin listings), MCP Server (connect AI assistants to web), and AI Agent Tool (provide web access for RAG pipelines and autonomous research). The AI adapts to any website structure.
How does ScrapeGraphAI compare to traditional scraping tools?
Unlike Scrapy, BeautifulSoup, or Selenium, ScrapeGraphAI offers AI-powered extraction using natural language prompts instead of manual CSS selectors, zero maintenance with auto-adaptation to layout changes, automatic proxy management, built-in rate limiting, cloud-ready API access, and AI-agent ready integration. Traditional tools require coding knowledge, break when sites change, need manual proxy configuration, and have steep learning curves. ScrapeGraphAI achieves 5-minute setup with single API call and no infrastructure to configure.