Diabetes Food Hub Recipes Scraper

Extract comprehensive recipe data from Diabetes Food Hub with ease. Collect detailed nutrition facts, ingredient lists, preparation times, and instructions at scale. Perfect for meal planning, nutrition analysis, dietary research, and building health-focused recipe catalogs.

---

Features

• Comprehensive Data — Capture ingredients, instructions, detailed nutrition facts, and recipe metadata.
• Category Filtering — Target specific meal types like lunch, dinner, snacks, or specialized kidney-friendly recipes.
• Direct URL Support — Scrape specific recipes by providing individual URLs for precise data collection.
• Clean Output — Automated deduplication and removal of empty data fields for high-quality datasets.
• Scalable Extraction — Robust pagination handling allows for gathering large collections of recipes efficiently.

---

Use Cases

Meal Planning

Build category-specific collections for lunch ideas, high-fiber meals, or lower-carb dishes. Use detailed nutrition facts to ensure meal plans meet specific dietary requirements.

Dietary Research

Analyze calories, carbohydrates, and protein across a large dataset of diabetes-friendly recipes. Track variety, prep times, and dietary tags for health-focused studies.

Content Creation

Populate internal recipe libraries, newsletter content banks, or searchable meal archives with structured, analysis-friendly fields.

---

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	—	Optional list of category or direct recipe URLs
category	String	No	"lunch"	Fallback category slug if startUrls is empty
results_wanted	Integer	No	20	Maximum number of recipes to collect
max_pages	Integer	No	10	Safety cap for listing pages to visit
proxyConfiguration	Object	No	—	Proxy settings for more reliable collection

---

Output Data

Each item in the dataset contains:

Field	Type	Description
title	String	Recipe title
description	String	Recipe summary or overview
ingredients	String	Flattened list of ingredients
ingredients_list	Array	Structured list of ingredient lines
instructions	Array	Step-by-step cooking directions
prep_time	String	Preparation time
cook_time	String	Cooking time
nutrition	Object	Calories, carbs, protein, fat, and more
url	String	Source recipe URL

---

Usage Examples

Basic Category Search

Extract recent lunch recipes:

{
    "category": "lunch",
    "results_wanted": 20
}

Direct Recipe Extraction

Collect specific recipes by URL:

{
    "startUrls": [
        { "url": "https://diabetesfoodhub.org/recipes/pesto-chicken-wrap" }
    ],
    "results_wanted": 1
}

Specialized Diet Research

Target lower-carb recipes with a higher result count:

{
    "category": "lower-carb",
    "results_wanted": 50,
    "max_pages": 10
}

---

Sample Output

{
    "title": "Pesto Chicken Wrap",
    "description": "Savory wraps perfect for using leftover chicken.",
    "ingredients_list": [
        "1/2 cup cooked chicken breast",
        "1 tbsp pesto sauce",
        "1 whole-grain tortilla"
    ],
    "prep_time": "5m",
    "nutrition": {
        "calories": "230",
        "carbs": "22g",
        "fat": "7g",
        "protein": "23g"
    },
    "url": "https://diabetesfoodhub.org/recipes/pesto-chicken-wrap"
}

---

Tips for Best Results

Start with Small Runs

Always test your configuration with a low results_wanted (e.g., 5-10) to verify the data shape before starting larger collections.

Use Specific Categories

Leverage slugs like kidney-friendly or budget-friendly to get more targeted results for specific dietary needs.

---

Integrations

Connect your recipe data with:

• Google Sheets — Export for nutrition analysis and planning.
• Airtable — Build searchable meal databases.
• Make / Zapier — Create automated health-focused workflows.

Export Formats

• JSON — For developers and system integrations.
• CSV — For spreadsheet-based data analysis.
• Excel — For reporting and team collaboration.

---

Frequently Asked Questions

Can I collect all recipes in a category?

Yes, set a high results_wanted and the actor will paginate through all available listings.

Are the nutrition facts accurate?

The actor captures data directly as provided by Diabetes Food Hub.

Does it handle duplicates?

Yes, recipes are automatically deduplicated by URL during the run.

---

Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference

---

Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws.