MCP server

Product Page Extractor

dev.workers.mohamed-bahaa53000.product-extractor/product-page-extractor

Checked 26 Oct 2026, 08:29 UTC · It answered and asked for a sign-in

Price & stock checks, catalog enrichment: product URL or HTML to JSON, with price_source. RapidAPI

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Needs an API key

Tools

1

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http product-page-extractor https://product-page-extractor.p.rapidapi.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.product-page-extractor]
url = "https://product-page-extractor.p.rapidapi.com/mcp"

Gemini CLI

{"mcpServers":{"product-page-extractor":{"httpUrl":"https://product-page-extractor.p.rapidapi.com/mcp"}}}

Cursor

{"mcpServers":{"product-page-extractor":{"url":"https://product-page-extractor.p.rapidapi.com/mcp"}}}

VS Code

{"servers":{"product-page-extractor":{"type":"http","url":"https://product-page-extractor.p.rapidapi.com/mcp"}}}

Antigravity

agy mcp add product-page-extractor https://product-page-extractor.p.rapidapi.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"product-page-extractor","server_url":"https://product-page-extractor.p.rapidapi.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"product-page-extractor","server_url":"https://product-page-extractor.p.rapidapi.com/mcp"}

Needs an API key or token from its maker, usually added as a header in the setup.

Tools

• extract_product ~287 tokens
  Turn a product page URL (or raw HTML) into clean JSON: name, brand, SKU/GTIN/MPN, price, currency, availability/in_stock, images, rating, review count and every offer, read from schema.org JSON-LD, microdata and OpenGraph. Add include=markdown for an LLM-ready Markdown copy of the page, or include=j

Browse

• Converting to Markdown
• Company data
• Calling other AI models

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