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Diabetes Food Hub Recipes Scraper 🍽️📊🥗

The Diabetes Food Hub Recipes Scraper is a powerful and scalable Apify Actor designed to extract structured recipe listings directly from DiabetesFoodHub.org recipe category pages.

It enables nutrition research, healthy recipe discovery, diabetes-friendly meal analysis, healthcare data collection, food dataset generation, AI training, dietary monitoring, and structured recipe extraction from one of the leading diabetes-focused recipe platforms.

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🎯 What This Scraper Does

Simply provide one or more Diabetes Food Hub recipe category URLs and the scraper handles everything automatically.

✅ Extracts structured recipe listings

✅ Supports recipe category scraping

✅ Automatically processes recipe pages

✅ Applies maxItems limits

✅ Extracts nutritional information

✅ Captures preparation and cooking times

✅ Detects sponsored recipes

✅ Collects recipe URLs and metadata

✅ Generates clean and structured datasets

✅ Ready for analytics and nutrition research

✅ Export-ready output format

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📊 Data Extracted

🍽️ Recipe Information

Field	Description
🆔 recipeId	Unique recipe identifier
🍽️ recipeName	Recipe title
🖼️ imageUrl	Recipe image URL
⏱️ prepTime	Preparation time
🔥 cookTime	Cooking time
👥 servings	Number of servings
📏 servingSize	Serving size
🔥 calories	Calories per serving
🍞 carbohydrates	Carbohydrate content
🥑 fat	Fat content
🍗 protein	Protein content
⭐ rating	User rating
📢 isSponsored	Sponsored recipe indicator
🔗 recipeUrl	Recipe page URL

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🛠 How to Use

1️⃣ Configure Input

Provide one or multiple Diabetes Food Hub recipe category URLs:

{
  "target_url": "https://diabetesfoodhub.org/recipes/lunch",
  "max_items": 50
}

2️⃣ Run the Actor

• Loads recipe category pages

• Processes recipe listings automatically

• Extracts recipe metadata

• Collects nutrition information

• Applies max_items limits

• Stops automatically when limits are reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

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⚙️ Input Configuration

📥 Input Example

{
  "target_url": "https://diabetesfoodhub.org/recipes/lunch",
  "max_items": 50
}

Input Fields

Field	Type	Description
target_url	string	Diabetes Food Hub recipe category URL
max_items	integer	Maximum number of recipes to collect

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📤 Output Example

{
  "recipeId": "DFH-10234",
  "recipeName": "Grilled Chicken with Vegetables",
  "imageUrl": "https://diabetesfoodhub.org/images/recipe.jpg",
  "prepTime": "15 mins",
  "cookTime": "25 mins",
  "servings": "4",
  "servingSize": "1 plate",
  "calories": "320",
  "carbohydrates": "18g",
  "fat": "10g",
  "protein": "35g",
  "rating": "4.6",
  "isSponsored": false,
  "recipeUrl": "https://diabetesfoodhub.org/recipes/grilled-chicken-vegetables"
}

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📊 Output Explanation

Use Case	Description
🥗 Nutrition Analysis	Analyze calories and macronutrients
📊 Healthcare Research	Build nutrition-focused datasets
🤖 AI & NLP Projects	Train food and nutrition models
🍽️ Recipe Discovery	Discover healthy meal ideas
📈 Dietary Monitoring	Track nutritional trends over time

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🌍 Why Use This Scraper?

🥗 Collect diabetes-friendly recipes at scale

📊 Extract detailed nutritional information

🍽️ Build structured healthy recipe databases

🤖 Generate AI-ready nutrition datasets

⚡ Fast and automated extraction

📦 Export-ready structured output

🧠 Ideal for dietitians, healthcare providers, researchers, and developers

🚀 Scalable for both personal and enterprise projects

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❓ FAQ

How does this scraper work?

The scraper loads Diabetes Food Hub recipe category pages and extracts structured recipe information, nutritional values, cooking times, ratings, and recipe URLs.

Can I scrape different recipe categories?

Yes. You can scrape any supported recipe category URL such as breakfast, lunch, dinner, or snacks.

Does the scraper collect nutritional information?

Yes. Calories, carbohydrates, fats, proteins, serving sizes, and other nutrition-related fields are extracted whenever available.

Can I monitor newly added recipes?

Yes. You can schedule recurring Apify runs to monitor newly published recipes over time.

Is the data collected live?

Yes. Data is extracted directly from DiabetesFoodHub.org during every run.

What export formats are supported?

JSON, CSV, Excel, XML, and HTML.

Can I use the extracted data commercially?

Yes. The extracted data can be used for analytics, research, automation, healthcare applications, and commercial projects.

What happens if the scraper fails?

The Actor includes retry mechanisms and automated error handling to improve extraction reliability.

How long does a run take?

Most extractions complete within minutes depending on the number of recipes requested.

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🚀 How to Use

1️⃣ Sign up — Create a free Apify account

2️⃣ Find the tool — Search for "Diabetes Food Hub Recipes Scraper" in the Apify Store

3️⃣ Configure Input — Add a recipe category URL

4️⃣ Run it — Start the Actor and wait for extraction

5️⃣ Export data — Download results in JSON, CSV, Excel, XML, or HTML

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⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Diabetes Food Hub or the American Diabetes Association.

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💸 Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

💳 Price: $2.99 / 1000 results

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Related Actors

If you're interested in other Healthcare, Nutrition, Recipe, Research, Marketplace, Jobs, Real Estate, or Lead Generation scraping solutions, explore more tools:

(Coming soon)

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📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

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🌍 PrimeScrape

Built for scalable web data extraction & automation.

Contact us for custom scraping solutions or enterprise requests via Apify or by email.