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mcp-omnisearch

firecrawl_extract_process

Extract structured data from web pages using natural language prompts. Converts unstructured content into specific information based on custom extraction instructions.

Instructions

Structured data extraction with AI using natural language prompts via Firecrawl. Extracts specific information from web pages based on custom extraction instructions. Best for targeted data collection, information extraction, and converting unstructured web content into structured data.

Input Schema

NameRequiredDescriptionDefault
extract_depthNoThe depth of the extraction process. "advanced" retrieves more data but costs more credits.basic
urlYes

Input Schema (JSON Schema)

{ "properties": { "extract_depth": { "default": "basic", "description": "The depth of the extraction process. \"advanced\" retrieves more data but costs more credits.", "enum": [ "basic", "advanced" ], "type": "string" }, "url": { "oneOf": [ { "description": "Single URL to process", "type": "string" }, { "description": "Multiple URLs to process", "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "url" ], "type": "object" }

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/spences10/mcp-omnisearch'

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