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Serious Eats Scraper | Recipes and Cooking Techniques

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from $19.00 / 1,000 results

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Serious Eats Scraper | Recipes and Cooking Techniques

Serious Eats Scraper | Recipes and Cooking Techniques

Pull recipes and detailed cooking guides from Serious Eats including ingredients, methods, prep and cook times, servings, author, ratings, equipment lists, and tips. Ideal for food bloggers, AI training, recipe apps, and culinary research projects requiring high-quality content.

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from $19.00 / 1,000 results

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ParseForge

ParseForge

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1

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4 days ago

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๐Ÿณ Serious Eats Recipe Scraper

๐Ÿš€ Export Serious Eats recipes to CSV, Excel, JSON, or XML in seconds. Full ingredients, cooking times, nutrition, author, cuisine, and more - all in one structured dataset.

The Serious Eats Recipe Scraper extracts structured recipe data from SeriousEats.com - one of the most trusted food publications on the internet, home to J. Kenji Lopez-Alt's The Food Lab and thousands of rigorously tested recipes. Data is scraped in real-time from JSON-LD schema embedded in each recipe page - the same data search engines use.

Serious Eats publishes over 10,000 recipes across cuisines including Italian, American, Asian, Mexican, and more. Each recipe goes through rigorous testing by professional cooks and food scientists.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
Food bloggers, nutritionists, meal planning apps, data scientists, home cooks, recipe aggregatorsCompetitive research and content inspiration, calorie and ingredient analysis at scale, build recipe databases with structured ingredient lists, train food AI models on labeled recipes, bulk-export recipes for offline access, power search and filter features with rich metadata

๐Ÿ“‹ What the Serious Eats Scraper does

  • Search recipes by keyword (pasta, chicken, chocolate, etc.)
  • Extracts full ingredient lists from each recipe
  • Captures prep time, cook time, and total time (ISO 8601)
  • Gets author name, cuisine type, and recipe category
  • Captures rating scores and recipe yield/servings
  • Extracts caloric information from nutrition data
  • Exports to CSV, Excel, JSON, or XML via Apify dataset

๐Ÿ’ก Why it matters: Serious Eats recipes are scientifically tested. The structured data includes exact gram measurements, technique notes, and categorized tags - far richer than typical recipe sites.

๐Ÿ“Š Data fields

Each record includes: author, calories, category, cookTime, cuisine, description, imageUrl, ingredients, prepTime, 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.

๐Ÿš€ How to use

  1. Create a free Apify account (includes $5 credit)
  2. Open the Serious Eats Recipe Scraper actor
  3. Enter a search query (e.g. "pasta", "chicken soup", "chocolate cake")
  4. Set maxItems to control how many recipes to collect
  5. Click Start and wait for the run to complete
  6. Download your dataset as CSV, Excel, JSON, or XML
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๐Ÿ’ก Pro Tip: browse the complete ParseForge collection for scrapers covering 100+ data sources.

This actor is not affiliated with or endorsed by Serious Eats or Dotdash Meredith. It scrapes publicly available data in compliance with general web scraping best practices. Use responsibly and respect the source site's terms of service.

๐Ÿ†˜ 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.