XCrawl
Officially listedIntelligent web scraping API built for AI agents, RAG pipelines, and automation.
XCrawl
XCrawl is an intelligent web scraping and data extraction API service designed for AI agents and automation workflows. Acting as the "eyes" of an AI agent, it converts complex web content in real time into noise-free, structured data formats, greatly simplifying how large language models obtain high-quality internet data.
Core Capabilities
- Single-Page Deep Scraping (Scrape API): Supports JavaScript rendering, headless browser loading, and page screenshots, outputting clean Markdown, HTML, or JSON structured data that sharply cuts LLM token consumption.
- Full-Site Smart Crawling (Crawl API): Intelligent deep crawling across an entire site or a scoped range with custom depth control — ideal for building RAG (retrieval-augmented generation) systems and private knowledge bases.
- Real-Time Search Extraction (SERP API): Quickly retrieves real-time structured results from Google and other major search engines, perfect for market monitoring, SEO data tracking, and competitor analysis.
- Automatic Link Discovery (Map API): Automatically identifies a target site's overall architecture and efficiently extracts all discovered page URLs, quickly generating sitemaps for further analysis.
- Smart Anti-Blocking: A built-in global residential proxy network and browser fingerprint simulation completely black-box the complexity of solving CAPTCHAs and bypassing advanced protection (such as Cloudflare).
- Native AI Ecosystem Integration: Full Model Context Protocol (MCP) support, a dedicated n8n node, and webhook async callbacks make it easy to embed in modern automation workflows.
Use Cases Well suited to AI application developers, RAG engineers, and data analysts. Whether you are building LLM-based chatbots, enterprise knowledge base apps, or price-monitoring and market-analysis automations via n8n and Zapier, XCrawl provides stable, efficient data support.
Unique Advantages Compared with traditional Node.js crawler libraries or enterprise-grade scraping platforms with steep learning curves, XCrawl distills complex scraping engineering into a single API call. It offers stronger anti-blocking network support than similar AI data conversion tools and focuses on delivering clean, ready-to-use data streams for developers — the best pick for both value and technical sophistication.
Editor's Review XCrawl hits the core pain point of acquiring high-quality web data in today's AI agent development. It elegantly abstracts away tedious anti-anti-scraping engineering, winning over many developers with minimal integration friction, excellent format conversion, and deep compatibility with the modern AI ecosystem. An indispensable infrastructure component for building the next generation of AI-connected applications.
Pricing
### 💰 定价模式：免费增值 **起步价**：$8/月 或 免费试用 #### 主要方案 - **Free Trial**：免费 - 1,000 点一次性额度，无需信用卡，支持全面访问所有API。 - **Hobby Plan**：$8/月 - 5,000 点/月，适合轻量级抓取，支持标准代理。 - **Starter Plan**：$49/月 - 60,000 点/月，支持住宅代理与更高并发。 - **Pro Plan**：$199/月 - 支持更大规模并发与优先技术支持。 #### 试用/其他信息 针对百万级超大请求需求提供企业定制版。计费基于信用额度（Credits），每次请求根据抓取复杂度和高级代理的使用情况扣减不同点数。 — Visit website
FAQ
Is XCrawl free?
XCrawl offers a free trial with 1,000 credits, letting you experience all core features without a credit card. Paid plans start at $8/month.
What can XCrawl be used for?
XCrawl is mainly used to automatically convert complex web pages into clean Markdown or JSON data, ideal for building RAG knowledge bases, developing AI agents, and automated market monitoring.
Does XCrawl support JavaScript-heavy dynamic pages?
Yes. XCrawl has built-in cloud headless browser rendering, easily scraping and parsing dynamic content that requires JavaScript to display correctly.
How do I plug XCrawl into my existing automation workflows?
XCrawl offers extremely convenient integration options: MCP protocol support, a dedicated n8n community node, and webhook access to no-code platforms like Zapier.
What advantages does XCrawl have over traditional open-source crawler libraries?
Traditional crawlers require maintaining your own proxy pools and handling complex anti-scraping mechanisms, while XCrawl completely black-boxes those challenges (such as bypassing Cloudflare), delivering stable data output through a minimal API.
Is the Markdown XCrawl extracts always perfectly accurate?
It performs excellently on most mainstream pages, but on older sites with highly complex nested tables, Markdown conversion can occasionally misalign; in those cases, use JSON mode and parse manually.