# Crawl FastAPI docs into Markdown chunks for a vector database

**Use case:** 

Crawl the FastAPI tutorial and split each page into Markdown chunks of about 1,500 characters with 150 characters of overlap, ready to embed into Pinecone, Qdrant, Chroma or pgvector. Pages are found via links and the sitemap; the include pattern keeps the crawl on /tutorial/.

## Input

```json
{
  "urls": [
    "https://fastapi.tiangolo.com/tutorial/"
  ],
  "crawlScope": "path",
  "maxPages": 20,
  "maxPagesPerStartUrl": 0,
  "maxDepth": 5,
  "useSitemap": "seed",
  "respectRobotsTxt": true,
  "mode": "auto",
  "includeUrlPatterns": [
    "https://fastapi.tiangolo.com/tutorial/**"
  ],
  "includeDocuments": true,
  "outputFormats": [
    "markdown"
  ],
  "chunkSize": 1500,
  "chunkOverlap": 150,
  "combinedFile": true,
  "maxConcurrency": 10,
  "httpVia": "auto",
  "requestHeaders": "<YOUR_SECRET>",
  "removeBoilerplate": true,
  "tidyMarkdown": true
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "depth": {
    "label": "Depth",
    "format": "integer"
  },
  "success": {
    "label": "OK",
    "format": "boolean"
  },
  "markdown": {
    "label": "Markdown",
    "format": "string"
  },
  "startUrl": {
    "label": "Start URL",
    "format": "string"
  },
  "charged": {
    "label": "Charged",
    "format": "boolean"
  },
  "errorType": {
    "label": "Error type",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "hint": {
    "label": "What to try",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Website to Markdown Crawler - Content Crawler for LLM & RAG Actor is ready to run with the inputs already set for "Crawl FastAPI docs into Markdown chunks for a vector database". [Sign up or log in](https://console.apify.com/create-task-from-example/AlbSgnbmLunauaZgJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Crawl FastAPI docs into Markdown chunks for a vector database" task

The Website to Markdown Crawler - Content Crawler for LLM & RAG Actor will start running based on the input automatically. You can also change all the input fields, like start urls, crawl scope, and more, to match your specific use case.

### 3. Receive the "Crawl FastAPI docs into Markdown chunks for a vector database" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, title, depth, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Crawl FastAPI docs into Markdown chunks for a vector database" task via API](https://apify.com/tidytools/website-markdown-crawler.md).

## About this Actor

This example demonstrates how to use [Website to Markdown Crawler - Content Crawler for LLM & RAG](https://apify.com/tidytools/website-markdown-crawler.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/tidytools/website-markdown-crawler.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).