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← Back to Crawl4AI Overview

Crawl4AI Pricing & Plans 2026

Complete pricing guide for Crawl4AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Crawl4AI Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Crawl4AI is worth it →

🆓Free Tier Available
💎1 Paid Plans
⚡No Setup Fees

Choose Your Plan

Open Source (Self-Hosted)

Free

mo

  • ✓Full Apache 2.0 licensed source code
  • ✓All extraction strategies (CSS, XPath, regex, LLM)
  • ✓MCP server and Docker image
  • ✓Deep, adaptive, and parallel crawling
  • ✓Stealth mode, proxy rotation, persistent profiles
  • ✓Community support via Discord and GitHub
Start Free →

Self-Hosted Infrastructure Costs

Variable

mo

  • ✓Your own server or cloud compute (CPU/RAM for Chromium)
  • ✓Optional proxy provider fees
  • ✓Optional LLM API costs (OpenAI, Anthropic, Ollama, etc.) for LLM-based extraction
  • ✓Optional CAPTCHA-solving service fees
Start Free Trial →

Pricing sourced from Crawl4AI · Last verified March 2026

Feature Comparison

FeaturesOpen Source (Self-Hosted)Self-Hosted Infrastructure Costs
Full Apache 2.0 licensed source code✓✓
All extraction strategies (CSS, XPath, regex, LLM)✓✓
MCP server and Docker image✓✓
Deep, adaptive, and parallel crawling✓✓
Stealth mode, proxy rotation, persistent profiles✓✓
Community support via Discord and GitHub✓✓
Your own server or cloud compute (CPU/RAM for Chromium)—✓
Optional proxy provider fees—✓
Optional LLM API costs (OpenAI, Anthropic, Ollama, etc.) for LLM-based extraction—✓
Optional CAPTCHA-solving service fees—✓

Is Crawl4AI Worth It?

✅ Why Choose Crawl4AI

  • • Completely free and open-source under Apache 2.0 with no API keys, usage caps, or paywalled features — full functionality runs locally or in your own infrastructure
  • • Produces clean, LLM-optimized Markdown out of the box with intelligent content filtering (Pruning and BM25) that removes ads, navigation, and boilerplate without manual cleanup
  • • Multiple extraction strategies in one library: CSS/XPath for speed, regex for zero-LLM patterns, and LLM-based extraction with Pydantic schemas for unstructured content
  • • First-class MCP server support lets Claude Desktop, Cursor, and other MCP clients invoke the crawler directly as a tool, plus a Docker image with FastAPI endpoints for deployment
  • • Advanced browser automation features including stealth mode, persistent profiles, proxy rotation, virtual scroll for infinite feeds, and session reuse for authenticated crawling
  • • Adaptive and deep crawling with BFS/DFS/Best-First strategies and link scoring, so crawls stop intelligently once enough information has been gathered

⚠️ Consider This

  • • Self-hosted only — you manage Playwright installation, browser dependencies, scaling, and proxies yourself, which is more work than calling a managed API like Firecrawl or ScrapingBee
  • • Resource-heavy compared to HTTP-only scrapers because it runs a full Chromium browser per session, requiring meaningful CPU and RAM for large parallel crawls
  • • Documentation, while extensive, can lag behind the rapid release cadence, and some advanced features (adaptive crawling, MCP) require digging into examples or source code
  • • LLM-based extraction inherits the cost and latency of whichever provider you connect, and prompt tuning is on the user — there is no managed extraction service
  • • JavaScript/TypeScript and other non-Python ecosystems must use the Docker REST API or MCP server rather than a native client library

What Users Say About Crawl4AI

👍 What Users Love

  • ✓Completely free and open-source under Apache 2.0 with no API keys, usage caps, or paywalled features — full functionality runs locally or in your own infrastructure
  • ✓Produces clean, LLM-optimized Markdown out of the box with intelligent content filtering (Pruning and BM25) that removes ads, navigation, and boilerplate without manual cleanup
  • ✓Multiple extraction strategies in one library: CSS/XPath for speed, regex for zero-LLM patterns, and LLM-based extraction with Pydantic schemas for unstructured content
  • ✓First-class MCP server support lets Claude Desktop, Cursor, and other MCP clients invoke the crawler directly as a tool, plus a Docker image with FastAPI endpoints for deployment
  • ✓Advanced browser automation features including stealth mode, persistent profiles, proxy rotation, virtual scroll for infinite feeds, and session reuse for authenticated crawling
  • ✓Adaptive and deep crawling with BFS/DFS/Best-First strategies and link scoring, so crawls stop intelligently once enough information has been gathered

👎 Common Concerns

  • ⚠Self-hosted only — you manage Playwright installation, browser dependencies, scaling, and proxies yourself, which is more work than calling a managed API like Firecrawl or ScrapingBee
  • ⚠Resource-heavy compared to HTTP-only scrapers because it runs a full Chromium browser per session, requiring meaningful CPU and RAM for large parallel crawls
  • ⚠Documentation, while extensive, can lag behind the rapid release cadence, and some advanced features (adaptive crawling, MCP) require digging into examples or source code
  • ⚠LLM-based extraction inherits the cost and latency of whichever provider you connect, and prompt tuning is on the user — there is no managed extraction service
  • ⚠JavaScript/TypeScript and other non-Python ecosystems must use the Docker REST API or MCP server rather than a native client library

Pricing FAQ

Is Crawl4AI really free to use commercially?

Yes. Crawl4AI is released under the Apache 2.0 license, which permits commercial use, modification, and redistribution without fees. The only costs you incur are your own infrastructure and any third-party LLM APIs you choose to plug into the LLM extraction strategy.

How does Crawl4AI compare to Firecrawl?

Firecrawl is a managed SaaS that handles infrastructure, proxies, and scaling for you behind a paid API. Crawl4AI is an open-source library you self-host, giving you full control, no per-page fees, and the ability to run it offline or behind a corporate firewall. Crawl4AI typically wins on cost and flexibility, while Firecrawl wins on zero-ops convenience.

Can Crawl4AI handle JavaScript-heavy sites and infinite scroll?

Yes. It is built on Playwright and ships with an async browser engine that executes JavaScript, supports custom JS injection, virtual scroll handling for feeds like Twitter and Instagram, and waits for dynamic content. Stealth mode and persistent browser profiles help bypass common bot defenses.

Does it integrate with Claude, ChatGPT, or other AI agents?

Crawl4AI exposes an MCP (Model Context Protocol) server, so Claude Desktop, Cursor, and any MCP-compatible client can call it as a tool. It also integrates natively with LangChain, LlamaIndex, and LiteLLM, and its Markdown output is ready to feed directly into any LLM context window or vector store.

What output formats does Crawl4AI produce?

By default it returns smart, filtered Markdown alongside raw HTML, cleaned HTML, extracted media, links, and screenshots. Structured extraction strategies output JSON conforming to user-defined Pydantic schemas, and the library also supports PDF generation and parsing.

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More about Crawl4AI

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