extract-structured-data
Extract structured data from a website.
LABSCO SUMMARY
Extraction where the schema is a sentence, not a selector.
extract-structured-data takes a prompt and a URL, so the shape of the answer comes from the description written for it rather than from CSS paths that break at the next redesign. That single call is the whole surface: there is no crawl, no pagination and no session handling here, so pages behind a sign-in or spread across many URLs need something else alongside it.
What it is
The official Scrapezy server, whose single tool extracts structured data from a web page.
What you get
- Turn one URL into structured data shaped by a prompt written in plain language.
- Describe the fields you want rather than the markup they sit in — the call takes a prompt and a URL, and nothing else.
Requirements
A Scrapezy API key, passed with --api-key or set as SCRAPEZY_API_KEY; each call then carries the URL it should fetch.
Setup effort
One command plus a key — npx -y @scrapezy/mcp, then supply credentials
USE CASES
01
Getting a clean table out of a page that has no API
Name the fields in the prompt and pass the URL; what comes back is data rather than markup to post-process.
1 tool
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
BEFORE YOU INSTALL
What to know first
Tools you get
1 tool when we connected. The server registers the tool as extract-structured-data, with hyphens; the documentation writes extract_structured_data.
Requires
- npx on PATH
- SCRAPEZY_API_KEY in your environment
Where it runs
The documented client runs the server on your machine.
CONTEXT COST
Light Standing cost
Rated by the size of the one tool definition that rides along on every turn
INSTALLATION
Connect your client
Server setup
TERMINAL
npx -y @scrapezy/mcpMCP Clients
Claude Desktop
CLAUDE DESKTOP · JSON
{
"mcpServers": {
"scrapezy": {
"command": "npx",
"args": [
"-y",
"@scrapezy/mcp",
"--api-key=<YOUR_API_KEY>"
]
}
}
}
