scrapingbee_ai_extract
Pack: scrapingbee · Endpoint: https://gateway.pipeworx.io/scrapingbee/mcp
Extract structured data from a web page using ScrapingBee’s AI. Pass a natural-language question or field description via ai_query and get back structured JSON. Example: scrapingbee_ai_extract({ url: “https://example.com/product\”, ai_query: “product name and price”, _apiKey: “your-key” })
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
url | string | yes | Full target URL including protocol. |
ai_query | string | yes | Natural-language description of the data to extract, e.g. “the article title, author, and publish date”. |
render_js | boolean | no | Execute JavaScript via a headless browser before extraction (default true). |
premium_proxy | boolean | no | Route through residential premium proxies (higher credit cost). |
country_code | string | no | ISO 3166-1 alpha-2 country code for proxy geolocation, e.g. “us”. |
_apiKey | string | yes | Your ScrapingBee API key. |
Example call
curl -X POST https://gateway.pipeworx.io/scrapingbee/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"scrapingbee_ai_extract","arguments":{}}}'Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"scrapingbee": {
"url": "https://gateway.pipeworx.io/scrapingbee/mcp"
}
}
}See Getting Started for client-specific install steps.