# Diabetes-Friendly Dinner Recipes Dataset

**Use case:** 

Collect diabetes-friendly dinner recipes with titles, ingredients, nutrition facts, meal categories, and preparation details. Useful for meal planning, nutrition research, dietitian workflows, healthcare apps, and recipe recommendation systems.

## Input

```json
{
  "searchUrls": [
    "https://diabetesfoodhub.org/recipes/dinner"
  ],
  "maxItemsPerUrl": 50
}
```

## Output

```json
{
  "recipeId": {
    "label": "Recipe ID",
    "format": "text"
  },
  "recipeName": {
    "label": "Recipe Name",
    "format": "text"
  },
  "prepTime": {
    "label": "Prep Time",
    "format": "text"
  },
  "cookTime": {
    "label": "Cook Time",
    "format": "text"
  },
  "servings": {
    "label": "Servings",
    "format": "text"
  },
  "calories": {
    "label": "Calories",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "text"
  },
  "recipeUrl": {
    "label": "Recipe URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Diabetic Recipe Scraper - Low-cost💲🔥🥦🍽️](https://apify.com/delectable_incubator/diabetic-recipe-scraper-low-cost.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delectable_incubator/diabetic-recipe-scraper-low-cost.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/delectable_incubator/diabetic-recipe-scraper-low-cost.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).