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Bon Appetit Scraper | Gourmet Recipes and Articles

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from $19.00 / 1,000 results

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Bon Appetit Scraper | Gourmet Recipes and Articles

Bon Appetit Scraper | Gourmet Recipes and Articles

Collect recipes and food articles from Bon Appetit with ingredients, methods, prep and cook times, servings, ratings, author, and tags. Power culinary apps, food content platforms, meal planners, and AI recipe assistants with gourmet content from a top food publication.

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from $19.00 / 1,000 results

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ParseForge

ParseForge

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4 days ago

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🍽️ Bon Appétit Recipe Scraper

🚀 Export Bon Appétit recipes to CSV, Excel, JSON, or XML in seconds. Search by keyword or category and get full ingredient lists, step-by-step instructions, ratings, and author credits - no API key, no registration required.

The Bon Appétit Scraper extracts recipes from Bon Appétit magazine's website (bonappetit.com) and returns 17 fields per record, including full ingredient lists, step-by-step cooking instructions, cook times, servings, ratings, review counts, author credits, and tags. All data is sourced from the JSON-LD structured data embedded in each recipe page.

Bon Appétit is one of the world's most respected food and recipe publications, with decades of trusted recipes from professional chefs and food editors. This Actor makes their publicly available recipe catalog searchable and downloadable in any format in under a minute.

🎯 Target Audience💡 Primary Use Cases
Food bloggers, recipe app developers, culinary researchers, meal planning platforms, AI training datasets, home cooks, nutrition analystsRecipe database building, meal planning apps, ingredient analysis, cooking time research, food trend analysis, culinary NLP training

📋 What the Bon Appétit Scraper does

Three flexible workflows in a single run:

  • 🔍 Keyword search. Search by any term like pasta, chocolate, grilled chicken, or vegan.
  • 🏷️ Category filter. Filter by ingredient or cuisine category like dessert, salad, italian, or quick.
  • 📦 Bulk export. Collect up to 1,000,000 recipes for large-scale dataset creation.

Each record includes the recipe image, title, description, author, star rating, review count, full ingredient list, step-by-step instructions, cook time, total time, servings, difficulty, tags, source URL, and publication date.

💡 Why it matters: manually copying recipes is slow and loses structure. Building your own parser means handling HTML quirks, JSON-LD variations, and pagination by hand. This Actor handles all of that and returns clean, structured data ready for databases, apps, or AI pipelines.

📊 Data fields

Each record includes: author, cookTime, description, difficulty, imageUrl, ingredients, instructions, publishedAt, rating, results, reviewCount, scrapedAt, servings, tags, title, totalTime, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

  1. Create a free account - Create a free account w/ $5 credit
  2. Open the Actor - Search for "Bon Appétit Scraper" in the Apify Store or go directly to the Actor page
  3. Set your input - Enter a search query like pasta or a category like dessert, set your maxItems
  4. Run the Actor - Click "Start" and wait for the run to complete (typically under 2 minutes for 50 recipes)
  5. Download your data - Export as CSV, Excel, JSON, or XML from the dataset tab
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💡 Pro Tip: browse the complete ParseForge collection for 150+ ready-to-use data extractors covering food, travel, jobs, finance, and more.

Disclaimer: This Actor is an independent tool for accessing publicly available recipe data from Bon Appétit for legitimate research, development, and personal use. It is not affiliated with, endorsed by, or connected to Bon Appétit or Conde Nast. Use responsibly and in accordance with Bon Appétit's Terms of Service. Recipe content is copyright of Bon Appétit and its authors.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.