The entire web is your database
Web data infrastructure that gives AI agents and data teams structured access to the entire web. Pre-built endpoints for major platforms. AI parsing for any URL. Production pipelines from a single YAML file.
One platform. Endless possibilities.
Built for AI agents, data engineers, and developers who need structured web data at production scale.
Self-Healing Web-to-API Engine
Structured JSON from any web resource with consistent schemas across platforms. When a website changes its structure, the extraction layer detects and adapts automatically — no manual fixes, no broken pipelines.
The Web, Structured
Any website is an endpoint. Major platforms — LinkedIn, Twitter, Instagram, Reddit, YouTube, GitHub, Amazon, SEC EDGAR — come with optimized ready-made endpoints. Everything else is handled by AI parsing that turns any URL into structured data.
One Engine, Four Interfaces
CLI for production pipelines. MCP for conversational exploration. REST API for direct HTTP integration. n8n for visual automation. The same Anysite engine, accessed the way your workflow requires.
What you can access today
Comprehensive data extraction across major platforms with consistent, reliable APIs.
The deepest LinkedIn coverage available — profiles, companies, posts, jobs, search, email finder, employee data.
Profiles, posts, reels, comments, likes, and follower data. Structured output for content analysis, audience research, and engagement monitoring.
Twitter/X
User profiles, post history, and search with engagement filters. Full access to the Twitter data surface as structured JSON.
Subreddit posts, comments, user history, and cross-subreddit search. Useful for community analysis, sentiment research, and topic monitoring.
DuckDuckGo
Web search results returned as structured JSON, ready for downstream processing.
Any URL
Point at any web address and get structured data back. The AI parsing engine extracts content from any web page — not just the platforms with ready-made endpoints.
Choose how you connect
MCP to explore. CLI to execute.
Most teams start with MCP to discover what data is available and what endpoints return. They graduate to CLI when they need production pipelines — batch processing, database loading, and scheduled collection at scale.
MCP Server →
Natural language access to web data through Claude, Cursor, or any MCP-compatible AI assistant. $30/mo unlimited.
Best for: Exploration, ad-hoc queries, research
CLI →
Production data pipelines from your terminal. YAML workflows, batch processing, database loading, cron scheduling. Open source.
Best for: Production pipelines, batch processing, scheduled collection
REST API →
Direct HTTP endpoints for integrating web data into your applications. One API key, consistent JSON schemas.
Best for: Application integration, custom backends
n8n →
Visual workflow automation. Drag-and-drop Anysite nodes into automated sequences — no code required.
Best for: No-code automation, connecting data to CRMs and tools
Self-healing infrastructure with automatic adaptation when websites change. HTTPS/TLS 1.3, no persistent storage of extracted data, GDPR-aware.
Plans from $30/mo (MCP Unlimited) to enterprise. All plans include full access to every interface.