AgentScrape

Pay-per-call web scraping for AI agents via x402 on Base USDC. Six tools, no signup.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
90%
Vollständigkeit des Schemas
88%
Qualität der Benennung
87%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • LOWTool 'extract_structured_data' description lacks action verbin extract_structured_data
  • LOWTool 'screenshot_webpage' description lacks action verbin screenshot_webpage

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~860Tokens (Tool-Definitionen)
~1.2 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.67% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "agent-scrape": {
      "url": "https://agent-scrape.healingsunhaven.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://agent-scrape.healingsunhaven.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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⚪scrape_webpage(url, format, wait_for, wait_ms, viewport)

Scrape any webpage and return content as markdown, html, text, or json. Pay-per-call web scraping for AI agents.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to scrape (http or https)"
    },
    "format": {
      "description": "Output format (default: markdown)",
      "type": "string",
      "enum": [
        "markdown",
        "html",
        "text",
        "json"
      ]
    },
    "wait_for": {
      "description": "CSS selector to wait for before extracting",
      "type": "string"
    },
    "wait_ms": {
      "description": "Milliseconds to wait after page load (max 10000)",
      "type": "number"
    },
    "viewport": {
      "description": "Viewport size (default: desktop)",
      "type": "string",
      "enum": [
        "desktop",
        "mobile",
        "tablet"
      ]
    }
  },
  "required": [
    "url"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_structured_data(url, prompt, schema, wait_for, wait_ms)

AI-powered structured data extraction from any webpage using natural language. Returns JSON matching your prompt or schema.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to extract from"
    },
    "prompt": {
      "type": "string",
      "description": "Natural language description of what to extract"
    },
    "schema": {
      "description": "Optional JSON schema for the response",
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {}
    },
    "wait_for": {
      "type": "string"
    },
    "wait_ms": {
      "type": "number"
    }
  },
  "required": [
    "url",
    "prompt"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪screenshot_webpage(url, full_page, viewport, wait_for, wait_ms)

Capture a PNG screenshot of any webpage. Supports desktop, mobile, and tablet viewports, plus full-page mode.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string"
    },
    "full_page": {
      "description": "Capture full scrollable page (default: false)",
      "type": "boolean"
    },
    "viewport": {
      "type": "string",
      "enum": [
        "desktop",
        "mobile",
        "tablet"
      ]
    },
    "wait_for": {
      "type": "string"
    },
    "wait_ms": {
      "type": "number"
    }
  },
  "required": [
    "url"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢extract_metadata(url)

Extract page metadata: title, description, Open Graph, Twitter cards, JSON-LD, canonical URL, and all meta tags.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string"
    }
  },
  "required": [
    "url"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡create_browser_session(ttl_seconds)

Create a stateful browser session that persists cookies and localStorage across multiple scrape/workflow calls.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ttl_seconds": {
      "description": "Session TTL (default 1800, max 7200)",
      "type": "number"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪run_workflow(steps, session_id, persist_session, viewport)

Execute a multi-step browser workflow atomically: navigate, click, type, wait, scroll, screenshot, extract, evaluate. Up to 20 steps.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "steps": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "action": {
            "type": "string",
            "enum": [
              "navigate",
              "click",
              "type",
              "wait_for",
              "wait_ms",
              "scroll",
              "screenshot",
              "extract",
              "extract_ai",
              "evaluate"
            ]
          },
          "url": {
            "type": "string"
          },
          "selector": {
            "type": "string"
          },
          "text": {
            "type": "string"
          },
          "ms": {
            "type": "number"
          },
          "full_page": {
            "type": "boolean"
          },
          "prompt": {
            "type": "string"
          },
          "script": {
            "type": "string"
          },
          "format": {
            "type": "string",
            "enum": [
              "markdown",
              "html",
              "text"
            ]
          }
        },
        "required": [
          "action"
        ]
      },
      "description": "Ordered list of workflow steps to execute"
    },
    "session_id": {
      "type": "string"
    },
    "persist_session": {
      "type": "boolean"
    },
    "viewport": {
      "type": "string",
      "enum": [
        "desktop",
        "mobile",
        "tablet"
      ]
    }
  },
  "required": [
    "steps"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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