> ## 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.

# Introduction

> Welcome to ScrapeGraphAI - AI-Powered Web Data Extraction

<img className="block w-full dark:hidden" style={{ borderRadius: '0.5rem' }} alt="ScrapeGraphAI Documentation" src="https://mintcdn.com/scrapegraphaiinc-9e950277/GY08PiO2O2pg9tOC/images/introduction/docs-banner-ligth.png?fit=max&auto=format&n=GY08PiO2O2pg9tOC&q=85&s=d5507eb81700793c484d333c4cd1ddcd" width="6600" height="1538" data-path="images/introduction/docs-banner-ligth.png" />

<img className="w-full hidden dark:block" style={{ borderRadius: '0.5rem' }} alt="ScrapeGraphAI Documentation" src="https://mintcdn.com/scrapegraphaiinc-9e950277/GY08PiO2O2pg9tOC/images/introduction/docs-banner-dark.png?fit=max&auto=format&n=GY08PiO2O2pg9tOC&q=85&s=216053792a021da29a85095533593b03" width="6600" height="1538" data-path="images/introduction/docs-banner-dark.png" />

## Overview

[ScrapeGraphAI](https://scrapegraphai.com) is a powerful suite of LLM-driven web scraping tools designed to extract structured data from any website and HTML content. Our API is designed to be easy to use and integrate with your existing workflows.

### Perfect For

<CardGroup cols={2}>
  <Card title="AI Applications" icon="robot">
    Feed your AI agents with structured web data for enhanced decision-making
  </Card>

  <Card title="Data Analysis" icon="chart-mixed">
    Extract and structure web data for research and analysis
  </Card>

  <Card title="Dataset Creation" icon="database">
    Build comprehensive datasets from web sources
  </Card>

  <Card title="Platform Building" icon="layer-group">
    Create scraping-powered platforms and applications
  </Card>
</CardGroup>

## Getting Started

<Steps>
  <Step title="Get API Key">
    Sign up and access your API key from the [dashboard](https://scrapegraphai.com/dashboard)
  </Step>

  <Step title="Choose Your Service">
    Select from our specialized extraction services based on your needs
  </Step>

  <Step title="Start Extracting">
    Begin extracting data using our SDKs or direct API calls
  </Step>
</Steps>

## Documentation Structure

<CardGroup cols={2}>
  <Card title="Dashboard" icon="gauge" href="/dashboard/overview">
    Learn how to manage your account, monitor jobs, and access your API keys
  </Card>

  <Card title="Services" icon="gears" href="/services/smartscraper">
    Explore our core services: SmartScraper, SearchScraper, and Markdownify
  </Card>

  <Card title="SDKs & Integration" icon="code" href="/sdks/python">
    Implement with Python, JavaScript, or integrate with LangChain and LlamaIndex
  </Card>

  <Card title="API Reference" icon="book" href="/api-reference/introduction">
    Detailed API documentation for direct integration
  </Card>
</CardGroup>

## Core Services

* <a href="/services/scrape">**Scrape**</a>
  : Fetch a page in markdown, HTML, screenshot, JSON, links, images, summary, or branding
* <a href="/services/extract">**Extract**</a>
  : AI-powered structured data extraction from any URL, HTML, or markdown
* <a href="/services/search">**Search**</a>
  : AI-powered web search that returns structured, ready-to-use results
* <a href="/services/crawl">**Crawl**</a>
  : Asynchronous multi-page site crawling with start / stop / resume controls
* <a href="/services/monitor">**Monitor**</a>
  : Cron-scheduled jobs that track page changes and fire webhooks
* <a href="/services/schema">**Schema**</a>
  : Define and reuse JSON schemas to enforce consistent extraction output
* <a href="/services/history">**History**</a>
  : Browse, inspect, and retrieve the results of past requests

## Implementation Options

### Official SDKs

* Production-ready SDKs for Python and JavaScript
* Comprehensive error handling and retry logic
* Type hints and full IDE support

### Integrations

* Seamless integration with LangChain
* Native support for LlamaIndex
* Perfect for AI agent workflows

## Examples & Use Cases

Visit our [Cookbook](/cookbook/introduction) to explore real-world examples and implementation patterns:

* E-commerce data extraction
* News article scraping
* Research data collection
* Content aggregation

<Accordion title="Open Source" icon="github">
  ScrapeGraphAI is built with transparency in mind. Check out our open-source core at: [github.com/scrapegraphai/scrapegraph-ai](https://github.com/scrapegraphai/scrapegraph-ai)
</Accordion>

<Card title="Ready to Start?" icon="rocket" href="/dashboard/overview">
  Get your API key and start extracting data in minutes!
</Card>