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 vibecoders 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.
Full read and write access — profiles, companies, search, posts, messaging, and content publishing. Comprehensive coverage with more than 20 endpoints across the full data surface.
{
"name": "John Smith",
"headline": "Senior Software Engineer",
"location": "San Francisco, CA",
"follower_count": 1250,
"experience": [{
"company": {
"name": "TechCorp",
"url": "linkedin.com/company/techcorp"
},
"position": "Senior Software Engineer",
"interval": "2020 - Present"
}]
}
Profiles, posts, reels, comments, likes, and follower data. Structured output for content analysis, audience research, and engagement monitoring.
{
"username": "brandname",
"full_name": "Brand Name Official",
"bio": "Official account of Brand Name",
"followers_count": 125000,
"following_count": 450,
"posts_count": 892,
"is_verified": true,
"is_business": true,
"profile_pic_url": "https://instagram.com/..."
}
Twitter/X
User profiles, post history, search with engagement filters, and follower data. Full access to the Twitter data surface as structured JSON.
{
"username": "elonmusk",
"name": "Elon Musk",
"bio": "Mars & Cars, Chips & Dips",
"followers_count": 180500000,
"following_count": 765,
"tweets_count": 35200,
"verified": true,
"created_at": "2009-06-02T20:12:29Z",
"profile_image_url": "https://pbs.twimg.com/..."
}
Subreddit posts, comments, user history, and cross-subreddit search. Useful for community analysis, sentiment research, and topic monitoring.
{
"id": "1ax2b3c",
"title": "Discussion about AI trends",
"url": "https://reddit.com/r/technology/comments/1ax2b3c",
"subreddit": "technology",
"author": "tech_enthusiast",
"score": 16632,
"num_comments": 2013,
"created_utc": 1705325400,
"upvote_ratio": 0.94
}
Web search, Google Maps, and Google News — all returning structured results ready for downstream processing.
{
"query": "AI development tools",
"results": [{
"title": "Best AI Development Tools 2024",
"url": "https://example.com/ai-tools",
"snippet": "Comprehensive guide to AI dev...",
"position": 1
}],
"total_results": "About 2,340,000,000"
}
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. The pre-built library is a convenience. The product boundary is the web itself.
{
"url": "https://example.com/any-page",
"title": "Page Title",
"content": "Structured content extracted...",
"metadata": {
"author": "Author Name",
"published": "2026-03-10"
}
}
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.
CLI →
The open-source command-line interface that turns Anysite's web-to-API engine into production data pipelines. Chain data sources in YAML, batch-process thousands of inputs, load into SQLite, PostgreSQL, or ClickHouse, and schedule with cron — all from the terminal. The Data Agent builds the pipeline from a natural language description.
MCP Server →
Natural language access to the full Anysite data surface through any MCP-compatible AI assistant — Claude Desktop, Cursor, Claude Code. Ask in plain English, get structured JSON back. At $30/mo with unlimited requests, it's the most accessible entry point — and the natural data layer for vibecoders who need web data without writing extraction code.
REST API →
Direct HTTP endpoints for developers integrating web data into their own applications, pipelines, and backends. Language-agnostic. Works with any HTTP client. The same endpoints accessible via CLI and MCP, exposed as standard REST.
n8n →
Visual workflow automation using Anysite data as a source. Build automated sequences without writing code — connect Anysite endpoints to databases, CRMs, notification services, and other tools through the n8n interface.
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.