Haunt API
The Haunt API server enables AI agents to perform structured web data extraction and monitor API usage via two tools:
web_extract: Provide a URL and a plain-English description of what data to extract, and receive clean JSON back. Automatically handles JavaScript rendering, Cloudflare protection, and complex page layouts — no browser management or parsing setup required.get_usage: Check your current API consumption and remaining credits against your plan limits.
It integrates via MCP (Model Context Protocol) with Claude Desktop, Cursor, VS Code, or Windsurf, using a simple API key passed as a parameter on each call.
Handles Cloudflare-protected websites automatically during web extraction, bypassing anti-bot measures and JavaScript rendering challenges to extract structured data.
Provides REST API access for web extraction with the same functionality as the MCP tools, allowing HTTP clients to extract structured data from URLs using prompts and API keys.
Eliminates the need for Docker containers or local infrastructure by providing fully hosted web extraction capabilities through the MCP server.
Automatically handles JavaScript rendering during web extraction, processing complex dynamic websites to extract structured data from pages that require JavaScript execution.
Haunt API MCP Server
This is the canonical public MCP package working tree for @hauntapi/mcp-server and GitHub Darko893/mcp-server. The live Haunt API app/site lives separately in /root/haunt. Do not confuse this with /root/haunt/mcp-server, which is a legacy/local copy inside the app repo.
Give Claude, Cursor, Windsurf, and other MCP-compatible agents a clean web extraction tool.
Haunt turns permitted public web pages into structured JSON using natural-language prompts. It can also return clean Markdown for agents, RAG pipelines, notes, and .md files when you need page text instead of typed fields. It is built for agent workflows that need product data, competitor pricing, article content, metadata, lead lists, research snippets, Markdown page text, or other visible web data without maintaining brittle selectors.
Quick Start
One-command agent setup
For the clean CLI path, run:
npx -y --package @hauntapi/cli@latest haunt-cli initIf you already have a Haunt API key:
HAUNT_API_KEY=PASTE_YOUR_KEY_HERE npx -y --package @hauntapi/cli@latest haunt-cli initThe CLI prints the MCP config for Claude, Cursor, Windsurf, and other MCP-compatible clients. It does not edit config files for you.
1. Prove the MCP package is wired in, no key needed
Install the MCP server and call try_demo_extract first. It returns a fixed sample extraction JSON/trace plus docs, signup, pricing, and free-tier links without using credits.
Use Haunt's try_demo_extract tool and show me the signup and docs links.2. Add a free API key for live extraction
Get a free API key: https://hauntapi.com/#signup
Add this to your MCP client config:
{
"mcpServers": {
"haunt": {
"command": "npx",
"args": ["-y", "@hauntapi/mcp-server"],
"env": {
"HAUNT_API_KEY": "your-api-key"
}
}
}
}Then ask your agent:
Use Haunt to extract the product name, price, availability, and review count from https://example.com/productFor Markdown output:
Use Haunt extract_markdown to turn https://example.com/docs into clean Markdown.Related MCP server: Anybrowse
Capability boundaries
Haunt does not promise universal extraction, CAPTCHA solving, login-wall access, paywall access, or anti-bot circumvention. It works best on permitted public pages and supported rendered pages. When a page is blocked, login-required, CAPTCHA-gated, or too thin to verify, Haunt returns a clear failure signal instead of fabricated data.
Tools
try_demo_extract
No-key activation check. Returns a fixed sample extraction JSON/trace, Haunt's demo endpoint, docs, signup, pricing, MCP info route, and free-tier details. Use this first when a user has installed the MCP server but has not added HAUNT_API_KEY yet.
extract / extract_url
General-purpose extraction from permitted public web pages. extract and extract_url are aliases so hosted MCP docs and local stdio package users can follow the same wording.
Use it for:
Product names, prices, stock status, reviews
Competitor pricing pages
Directories and lead lists
Job boards
Research pages
Supported permitted public pages where you want clean JSON instead of HTML
It accepts optional response_format values: json (default), markdown / md, and raw_html / html.
extract_markdown
Return clean Markdown from a permitted public page. Use this when the agent or workflow wants readable page text for RAG, notes, docs ingestion, or saving as a .md file instead of structured fields.
extract_article
Extract article fields from news, blog, and editorial pages.
Returns title, body text, author, and publish date when available.
extract_metadata
Extract page metadata including title, description, Open Graph tags, Twitter Card tags, canonical URL, and related metadata.
get_usage
Check current plan, monthly credit limit, used credits, reserved credits, and remaining credits. Use this after a live extraction to see what was charged.
Why Haunt
Natural-language prompts instead of fragile CSS selectors
Supported fetch paths for JavaScript-heavy pages
Challenge-aware extraction with machine-readable verification signals (
error_code,captcha_provider,requires_human_verification)Clean JSON output for agents, databases, and workflows
Clean Markdown output when the job is page text for agents, RAG, notes, or
.mdfilesFree tier for testing
Pricing
Plan | Credits | Price |
Free | 1,000/mo | £0 |
Starter | 10,000/mo | £19/mo |
Pro | 30,000/mo | £49/mo |
Scale | 80,000/mo | £99/mo |
Credits are not one-to-one requests. Simple public/non-LLM output usually uses 1 credit, normal structured extraction 2, browser-rendered or authenticated extraction 4, and heavy/screenshot extraction 8. Failed, blocked, login/CAPTCHA, provider, and server failures do not burn credits.
Upgrade: https://hauntapi.com/#pricing
Links
Website: https://hauntapi.com
Get API key: https://hauntapi.com/#signup
Maintenance
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Darko893/haunt-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server