# Fetch developer docs as clean Markdown for an LLM

**Use case:** 

Fetches three documentation pages every developer knows (the Python tutorial, MDN's HTTP status codes and the PostgreSQL SELECT reference) and returns each as clean Markdown with the navigation, ads and boilerplate stripped out. Plain HTTP, no browser, so it is fast and cheap. For feeding docs to an LLM or an agent. Costs $0.001 per page fetched, so this preset runs about $0.003.

## Input

```json
{
  "urls": [
    "https://docs.python.org/3/tutorial/introduction.html",
    "https://developer.mozilla.org/en-US/docs/Web/HTTP/Status",
    "https://www.postgresql.org/docs/current/sql-select.html"
  ],
  "render": false,
  "respectRobotsTxt": true,
  "timeoutSecs": 30,
  "userAgent": "Mozilla/5.0 (compatible; AgentFetchBot/1.0; +https://apify.com/omargnagy/agent-fetch-markdown)",
  "includeLinks": true,
  "includeArticleJson": false,
  "maxMarkdownChars": 120000,
  "schema": {
    "properties": {
      "author": {
        "type": "string"
      },
      "datePublished": {
        "type": "string",
        "format": "date"
      },
      "description": {
        "type": "string"
      }
    }
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "markdown": {
    "label": "Markdown",
    "format": "string"
  },
  "url": {
    "label": "Requested URL",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "httpStatus": {
    "label": "HTTP status",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "method": {
    "label": "Method",
    "format": "string"
  },
  "linkCount": {
    "label": "Links",
    "format": "number"
  },
  "truncated": {
    "label": "Truncated",
    "format": "boolean"
  },
  "reason": {
    "label": "Reason",
    "format": "string"
  },
  "canonicalUrl": {
    "label": "Canonical URL",
    "format": "string"
  },
  "finalUrl": {
    "label": "Final URL",
    "format": "string"
  },
  "durationMs": {
    "label": "Duration",
    "format": "number"
  },
  "fetchedAt": {
    "label": "Fetched at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Agent Fetch: URL to Clean Markdown](https://apify.com/omargnagy/agent-fetch-markdown.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/omargnagy/agent-fetch-markdown.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/omargnagy/agent-fetch-markdown.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).