zyte_extract
Pack: zyte · Endpoint: https://gateway.pipeworx.io/zyte/mcp
AI-powered automatic extraction of structured data from a web page. Set type to ‘product’ for e-commerce product pages (name, price, currency, images, SKU, availability…) or ‘article’ for news/blog pages (headline, author, date, body text…). Example: zyte_extract({ url: “https://shop.example.com/item/123\”, type: “product”, _apiKey: “your-key” })
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
url | string | yes | The URL of the product or article page to extract |
type | string | no | What to extract: ‘product’ (e-commerce) or ‘article’ (news/blog). Default ‘product’. |
_apiKey | string | yes | Zyte API key |
Example call
Arguments
{
"url": "https://shop.example.com/product/laptop-123",
"type": "product",
"_apiKey": "your-zyte-api-key"
}
curl
curl -X POST https://gateway.pipeworx.io/zyte/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"zyte_extract","arguments":{"url":"https://shop.example.com/product/laptop-123","type":"product","_apiKey":"your-zyte-api-key"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('zyte_extract', {
"url": "https://shop.example.com/product/laptop-123",
"type": "product",
"_apiKey": "your-zyte-api-key"
});
More examples
{
"url": "https://news.example.com/article/breaking-news",
"type": "article",
"_apiKey": "your-zyte-api-key"
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"zyte": {
"url": "https://gateway.pipeworx.io/zyte/mcp"
}
}
}
See Getting Started for client-specific install steps.