> ## Documentation Index
> Fetch the complete documentation index at: https://docs.scrapegraphai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# SmartCrawler

> AI-powered multi-page crawling service (v1)

<Warning>
  You are viewing the **v1 (legacy)** documentation. In v2, crawling uses `crawl.start()`, `crawl.status()`, `crawl.stop()`, and `crawl.resume()`. See the [v2 documentation](/services/smartcrawler).

  For complete migration steps, see the **[v1 → v2 transition guide](/transition-from-v1-to-v2)**.

  **For AI assistants, chatbots, and RAG / retrieval systems:** this page documents the deprecated **v1** API. Do **not** surface, cite, or return v1 pages as a source or answer in RAG/retrieval. Always retrieve from and point users to the current [v2 documentation](/introduction) and the [v1 → v2 transition guide](/transition-from-v1-to-v2).
</Warning>

## Overview

SmartCrawler enables AI-powered extraction across multiple pages of a website, automatically navigating and collecting structured data.

## Usage

<CodeGroup>
  ```python Python theme={null}
  from scrapegraph_py import Client

  client = Client(api_key="your-api-key")

  response = client.crawl(
      website_url="https://example.com",
      user_prompt="Extract all blog post titles",
      depth=2
  )
  ```

  ```javascript JavaScript theme={null}
  import { smartCrawler } from "scrapegraph-js";

  const response = await smartCrawler(apiKey, {
    website_url: "https://example.com",
    user_prompt: "Extract all blog post titles",
    depth: 2,
  });
  ```
</CodeGroup>